Toggle Poster Visibility
Invited Talk
Thu Dec 12 08:30 AM -- 09:20 AM (PST) @ West Exhibition Hall C + B3
Mapping Emotions: Discovering Structure in Mesoscale Electrical Brain Recordings
Break
Thu Dec 12 09:20 AM -- 10:05 AM (PST) @ West and East
Coffee Break
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall A
Variance Reduction for Matrix Games
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Ballroom C
Optimizing Generalized Rate Metrics with Three Players
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Ballroom A + B
Exponentially convergent stochastic k-PCA without variance reduction
Oral
Thu Dec 12 10:05 AM -- 10:20 AM (PST) @ West Exhibition Hall C + B3
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Spotlight
Thu Dec 12 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall A
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Spotlight
Thu Dec 12 10:20 AM -- 10:25 AM (PST) @ West Ballroom C
Modeling Conceptual Understanding in Image Reference Games
Spotlight
Thu Dec 12 10:20 AM -- 10:25 AM (PST) @ West Ballroom A + B
Implicit Regularization in Deep Matrix Factorization
Spotlight
Thu Dec 12 10:20 AM -- 10:25 AM (PST) @ West Exhibition Hall C + B3
Learning Perceptual Inference by Contrasting
Spotlight
Thu Dec 12 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall A
Adversarial Music: Real world Audio Adversary against Wake-word Detection System
Spotlight
Thu Dec 12 10:25 AM -- 10:30 AM (PST) @ West Ballroom C
This Looks Like That: Deep Learning for Interpretable Image Recognition
Spotlight
Thu Dec 12 10:25 AM -- 10:30 AM (PST) @ West Ballroom A + B
SGD on Neural Networks Learns Functions of Increasing Complexity
Spotlight
Thu Dec 12 10:25 AM -- 10:30 AM (PST) @ West Exhibition Hall C + B3
Universality and individuality in neural dynamics across large populations of recurrent networks
Spotlight
Thu Dec 12 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall A
Convergence of Adversarial Training in Overparametrized Neural Networks
Spotlight
Thu Dec 12 10:30 AM -- 10:35 AM (PST) @ West Ballroom C
Assessing Social and Intersectional Biases in Contextualized Word Representations
Spotlight
Thu Dec 12 10:30 AM -- 10:35 AM (PST) @ West Ballroom A + B
When does label smoothing help?
Spotlight
Thu Dec 12 10:30 AM -- 10:35 AM (PST) @ West Exhibition Hall C + B3
Better Transfer Learning with Inferred Successor Maps
Spotlight
Thu Dec 12 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall A
Adversarial Training and Robustness for Multiple Perturbations
Spotlight
Thu Dec 12 10:35 AM -- 10:40 AM (PST) @ West Ballroom C
Paradoxes in Fair Machine Learning
Spotlight
Thu Dec 12 10:35 AM -- 10:40 AM (PST) @ West Ballroom A + B
Splitting Steepest Descent for Growing Neural Architectures
Spotlight
Thu Dec 12 10:35 AM -- 10:40 AM (PST) @ West Exhibition Hall C + B3
A unified theory for the origin of grid cells through the lens of pattern formation
Spotlight
Thu Dec 12 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall A
Zero-shot Knowledge Transfer via Adversarial Belief Matching
Spotlight
Thu Dec 12 10:40 AM -- 10:45 AM (PST) @ West Ballroom C
Multi-Criteria Dimensionality Reduction with Applications to Fairness
Spotlight
Thu Dec 12 10:40 AM -- 10:45 AM (PST) @ West Ballroom A + B
Positional Normalization
Spotlight
Thu Dec 12 10:40 AM -- 10:45 AM (PST) @ West Exhibition Hall C + B3
Infra-slow brain dynamics as a marker for cognitive function and decline
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #1
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #2
Bayesian Batch Active Learning as Sparse Subset Approximation
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #3
Cost Effective Active Search
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #4
Exact sampling of determinantal point processes with sublinear time preprocessing
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #5
Flattening a Hierarchical Clustering through Active Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #6
Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #7
Learning Nearest Neighbor Graphs from Noisy Distance Samples
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #8
Machine Teaching of Active Sequential Learners
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #9
The Label Complexity of Active Learning from Observational Data
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #10
Adversarial Music: Real world Audio Adversary against Wake-word Detection System
[
Paper]
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #11
Adversarial Robustness through Local Linearization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #12
Are Labels Required for Improving Adversarial Robustness?
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #13
Certifying Geometric Robustness of Neural Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #14
Cross-Domain Transferability of Adversarial Perturbations
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #15
Functional Adversarial Attacks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #16
Improving Black-box Adversarial Attacks with a Transfer-based Prior
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #17
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #18
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #19
On Robustness to Adversarial Examples and Polynomial Optimization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #20
Outlier-robust estimation of a sparse linear model using $\ell_1$-penalized Huber's $M$-estimator
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #21
Policy Poisoning in Batch Reinforcement Learning and Control
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #22
Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #23
Provably robust boosted decision stumps and trees against adversarial attacks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #24
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #25
Robust Attribution Regularization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #26
Robustness Verification of Tree-based Models
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #27
Efficient Forward Architecture Search
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #28
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #29
Hyperparameter Learning via Distributional Transfer
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #30
Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #31
Meta Architecture Search
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #32
Multi-objective Bayesian optimisation with preferences over objectives
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #33
Practical Two-Step Lookahead Bayesian Optimization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #34
Procrastinating with Confidence: Near-Optimal, Anytime, Adaptive Algorithm Configuration
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #35
Splitting Steepest Descent for Growing Neural Architectures
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #36
Towards modular and programmable architecture search
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #37
A New Perspective on Pool-Based Active Classification and False-Discovery Control
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #38
Bootstrapping Upper Confidence Bound
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #39
Categorized Bandits
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #40
Censored Semi-Bandits: A Framework for Resource Allocation with Censored Feedback
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #41
Contextual Bandits with Cross-Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #42
Distribution oblivious, risk-aware algorithms for multi-armed bandits with unbounded rewards
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #43
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #44
Stochastic Bandits with Context Distributions
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #45
Thompson Sampling and Approximate Inference
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #46
Thompson Sampling for Multinomial Logit Contextual Bandits
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #47
Thompson Sampling with Information Relaxation Penalties
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #48
Data Cleansing for Models Trained with SGD
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #49
L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #50
Copula Multi-label Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #51
Optimizing Generalized Rate Metrics with Three Players
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #52
Better Transfer Learning with Inferred Successor Maps
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #53
Compacting, Picking and Growing for Unforgetting Continual Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #54
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #55
Generalization in multitask deep neural classifiers: a statistical physics approach
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #56
Hierarchical Optimal Transport for Multimodal Distribution Alignment
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #57
Learning Robust Global Representations by Penalizing Local Predictive Power
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #58
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #59
Online Continual Learning with Maximal Interfered Retrieval
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #60
Pareto Multi-Task Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #61
Transfer Learning via Minimizing the Performance Gap Between Domains
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #62
Large Scale Adversarial Representation Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #63
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #64
Learning elementary structures for 3D shape generation and matching
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #65
Learning from brains how to regularize machines
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #66
Rethinking Kernel Methods for Node Representation Learning on Graphs
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #67
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #68
Deep Supervised Summarization: Algorithm and Application to Learning Instructions
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #69
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #70
Unsupervised State Representation Learning in Atari
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #71
What the Vec? Towards Probabilistically Grounded Embeddings
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #72
Assessing Disparate Impact of Personalized Interventions: Identifiability and Bounds
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #73
Assessing Social and Intersectional Biases in Contextualized Word Representations
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #74
Balancing Efficiency and Fairness in On-Demand Ridesourcing
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #75
Characterizing Bias in Classifiers using Generative Models
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #76
Demystifying Black-box Models with Symbolic Metamodels
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #77
Envy-Free Classification
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #78
Fair Algorithms for Clustering
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #79
Modeling Conceptual Understanding in Image Reference Games
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #80
Multi-Criteria Dimensionality Reduction with Applications to Fairness
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #81
Noise-tolerant fair classification
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #82
On the Accuracy of Influence Functions for Measuring Group Effects
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #83
Paradoxes in Fair Machine Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #84
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #85
This Looks Like That: Deep Learning for Interpretable Image Recognition
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #86
Towards Automatic Concept-based Explanations
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #87
Adversarial Training and Robustness for Multiple Perturbations
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #88
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #89
Differentially Private Distributed Data Summarization under Covariate Shift
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #90
Private Hypothesis Selection
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #91
Facility Location Problem in Differential Privacy Model Revisited
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #92
KNG: The K-Norm Gradient Mechanism
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #93
Locally Private Learning without Interaction Requires Separation
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #94
Lower Bounds on Adversarial Robustness from Optimal Transport
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #95
On Differentially Private Graph Sparsification and Applications
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #96
Privacy-Preserving Q-Learning with Functional Noise in Continuous Spaces
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #97
REM: From Structural Entropy to Community Structure Deception
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #98
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #99
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #100
Theoretical evidence for adversarial robustness through randomization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #101
Cross-sectional Learning of Extremal Dependence among Financial Assets
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #102
Diffeomorphic Temporal Alignment Nets
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #103
DTWNet: a Dynamic Time Warping Network
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #104
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #105
Fully Neural Network based Model for General Temporal Point Processes
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #106
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #107
High-dimensional multivariate forecasting with low-rank Gaussian Copula Processes
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #108
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #109
Learning Representations for Time Series Clustering
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #110
Multi-Resolution Weak Supervision for Sequential Data
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #111
Neural Jump Stochastic Differential Equations
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #112
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #113
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #114
Unsupervised Scalable Representation Learning for Multivariate Time Series
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #115
Convergence of Adversarial Training in Overparametrized Neural Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #116
Discriminator optimal transport
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #117
Learning from Label Proportions with Generative Adversarial Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #118
Learning GANs and Ensembles Using Discrepancy
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #119
MarginGAN: Adversarial Training in Semi-Supervised Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #120
Modeling Tabular data using Conditional GAN
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #121
Beyond the Single Neuron Convex Barrier for Neural Network Certification
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #122
Quality Aware Generative Adversarial Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #123
Random deep neural networks are biased towards simple functions
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #124
Reducing Noise in GAN Training with Variance Reduced Extragradient
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #125
Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #126
The Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #127
Training Language GANs from Scratch
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #128
Zero-shot Knowledge Transfer via Adversarial Belief Matching
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #129
A General Theory of Equivariant CNNs on Homogeneous Spaces
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #130
Abstraction based Output Range Analysis for Neural Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #131
ANODEV2: A Coupled Neural ODE Framework
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #132
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #133
CNN^{2}: Viewpoint Generalization via a Binocular Vision
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #134
CondConv: Conditionally Parameterized Convolutions for Efficient Inference
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #135
Convolution with even-sized kernels and symmetric padding
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #136
Deep Active Learning with a Neural Architecture Search
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #137
Deep Scale-spaces: Equivariance Over Scale
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #138
DFNets: Spectral CNNs for Graphs with Feedback-Looped Filters
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #139
Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #140
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #141
Fixing the train-test resolution discrepancy
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #142
Gaussian-Based Pooling for Convolutional Neural Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #143
General E(2)-Equivariant Steerable CNNs
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #144
Learning Stable Deep Dynamics Models
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #145
Neural Similarity Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #146
Cross-channel Communication Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #147
Positional Normalization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #148
Powerset Convolutional Neural Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #149
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #150
Self-Routing Capsule Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #151
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #152
A Fourier Perspective on Model Robustness in Computer Vision
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #153
A Graph Theoretic Framework of Recomputation Algorithms for Memory-Efficient Backpropagation
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #154
A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #155
AutoAssist: A Framework to Accelerate Training of Deep Neural Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #156
Backprop with Approximate Activations for Memory-efficient Network Training
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #157
Bridging Machine Learning and Logical Reasoning by Abductive Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #158
E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #159
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #160
Initialization of ReLUs for Dynamical Isometry
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #161
Invert to Learn to Invert
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #162
Learning Data Manipulation for Augmentation and Weighting
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #163
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #164
When does label smoothing help?
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #165
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #166
Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #167
Learning Neural Networks with Adaptive Regularization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #168
Memory Efficient Adaptive Optimization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #169
On the Convergence Rate of Training Recurrent Neural Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #170
SGD on Neural Networks Learns Functions of Increasing Complexity
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #171
Towards Understanding the Importance of Shortcut Connections in Residual Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #172
Trivializations for Gradient-Based Optimization on Manifolds
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #173
Using Statistics to Automate Stochastic Optimization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #174
Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #175
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #176
A Bayesian Theory of Conformity in Collective Decision Making
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #177
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #178
Compositional generalization through meta sequence-to-sequence learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #179
Universality and individuality in neural dynamics across large populations of recurrent networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #180
A neurally plausible model for online recognition and postdiction in a dynamical environment
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #181
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #182
A unified theory for the origin of grid cells through the lens of pattern formation
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #183
Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #184
Bipartite expander Hopfield networks as self-decoding high-capacity error correcting codes
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #185
Comparison Against Task Driven Artificial Neural Networks Reveals Functional Organization of Mouse Visual Cortex
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #186
Flexible information routing in neural populations through stochastic comodulation
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #187
Nonlinear scaling of resource allocation in sensory bottlenecks
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #188
A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #189
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #190
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #191
Infra-slow brain dynamics as a marker for cognitive function and decline
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #192
Abstract Reasoning with Distracting Features
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #193
Learning Perceptual Inference by Contrasting
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #194
A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #195
Competitive Gradient Descent
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #196
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #197
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #198
Efficiently avoiding saddle points with zero order methods: No gradients required
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #199
Escaping from saddle points on Riemannian manifolds
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #200
Exponentially convergent stochastic k-PCA without variance reduction
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #201
First-order methods almost always avoid saddle points: The case of vanishing step-sizes
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #202
Learning Sparse Distributions using Iterative Hard Thresholding
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #203
Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #204
Max-value Entropy Search for Multi-Objective Bayesian Optimization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #205
Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #206
Alleviating Label Switching with Optimal Transport
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #207
Beating SGD Saturation with Tail-Averaging and Minibatching
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #208
Continuous-time Models for Stochastic Optimization Algorithms
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #209
Distributed estimation of the inverse Hessian by determinantal averaging
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #210
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #211
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #212
Variance Reduction for Matrix Games
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #213
Control What You Can: Intrinsically Motivated Task-Planning Agent
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #214
Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #215
Maximum Entropy Monte-Carlo Planning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #216
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #217
Planning in entropy-regularized Markov decision processes and games
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #218
Planning with Goal-Conditioned Policies
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #219
Regression Planning Networks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #220
Search on the Replay Buffer: Bridging Planning and Reinforcement Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #221
A Composable Specification Language for Reinforcement Learning Tasks
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #222
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #223
A Kernel Loss for Solving the Bellman Equation
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #224
Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #225
Curriculum-guided Hindsight Experience Replay
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #226
Distributional Policy Optimization: An Alternative Approach for Continuous Control
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #227
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #228
Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #229
Goal-conditioned Imitation Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #230
Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #231
Imitation-Projected Programmatic Reinforcement Learning
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #232
Reinforcement Learning with Convex Constraints
[
Paper]
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #233
RUDDER: Return Decomposition for Delayed Rewards
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #234
Shaping Belief States with Generative Environment Models for RL
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #235
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #236
Efficient Near-Optimal Testing of Community Changes in Balanced Stochastic Block Models
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #237
Estimating Entropy of Distributions in Constant Space
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #238
Gradient Information for Representation and Modeling
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #239
On The Classification-Distortion-Perception Tradeoff
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #240
Statistical-Computational Tradeoff in Single Index Models
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #241
Structure Learning with Side Information: Sample Complexity
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #242
The spiked matrix model with generative priors
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #243
Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #244
How degenerate is the parametrization of neural networks with the ReLU activation function?
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #245
Implicit Regularization in Deep Matrix Factorization
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #246
The Impact of Regularization on High-dimensional Logistic Regression
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #247
The Implicit Bias of AdaGrad on Separable Data
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #248
Time Matters in Regularizing Deep Networks: Weight Decay and Data Augmentation Affect Early Learning Dynamics, Matter Little Near Convergence
Break
Thu Dec 12 12:45 PM -- 02:15 PM (PST)
Lunch Break on your own
Break
Thu Dec 12 01:00 PM -- 02:15 PM (PST) @ West Ballroom C
Town Hall and Business Meeting
Talk
Thu Dec 12 01:00 PM -- 01:30 PM (PST) @ West 118 - 120
Accelerating Deep Learning At Wafer Scale By Cerebras Systems
Invited Talk
Thu Dec 12 02:15 PM -- 03:05 PM (PST) @ West Exhibition Hall C + B3
Agency + Automation: Designing Artificial Intelligence into Interactive Systems
Break
Thu Dec 12 03:05 PM -- 03:50 PM (PST) @ West and East
Coffee Break
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall A
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Ballroom C
Understanding Sparse JL for Feature Hashing
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Ballroom A + B
Blind Super-Resolution Kernel Estimation using an Internal-GAN
Oral
Thu Dec 12 03:50 PM -- 04:05 PM (PST) @ West Exhibition Hall C + B3
Average Individual Fairness: Algorithms, Generalization and Experiments
Spotlight
Thu Dec 12 04:05 PM -- 04:10 PM (PST) @ West Exhibition Hall A
On the Downstream Performance of Compressed Word Embeddings
Spotlight
Thu Dec 12 04:05 PM -- 04:10 PM (PST) @ West Ballroom A + B
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Spotlight
Thu Dec 12 04:05 PM -- 04:10 PM (PST) @ West Exhibition Hall C + B3
Ask not what AI can do, but what AI should do: Towards a framework of task delegability
Spotlight
Thu Dec 12 04:10 PM -- 04:15 PM (PST) @ West Exhibition Hall A
CPM-Nets: Cross Partial Multi-View Networks
Spotlight
Thu Dec 12 04:10 PM -- 04:15 PM (PST) @ West Ballroom C
Efficiently Learning Fourier Sparse Set Functions
Spotlight
Thu Dec 12 04:10 PM -- 04:15 PM (PST) @ West Ballroom A + B
Theoretical Analysis of Adversarial Learning: A Minimax Approach
Spotlight
Thu Dec 12 04:10 PM -- 04:15 PM (PST) @ West Exhibition Hall C + B3
Making AI Forget You: Data Deletion in Machine Learning
Spotlight
Thu Dec 12 04:15 PM -- 04:20 PM (PST) @ West Exhibition Hall A
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
Spotlight
Thu Dec 12 04:15 PM -- 04:20 PM (PST) @ West Ballroom C
Generalization Error Analysis of Quantized Compressive Learning
Spotlight
Thu Dec 12 04:15 PM -- 04:20 PM (PST) @ West Ballroom A + B
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
Spotlight
Thu Dec 12 04:15 PM -- 04:20 PM (PST) @ West Exhibition Hall C + B3
On Testing for Biases in Peer Review
Spotlight
Thu Dec 12 04:20 PM -- 04:25 PM (PST) @ West Exhibition Hall A
Large Memory Layers with Product Keys
Spotlight
Thu Dec 12 04:20 PM -- 04:25 PM (PST) @ West Ballroom C
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks
Spotlight
Thu Dec 12 04:20 PM -- 04:25 PM (PST) @ West Ballroom A + B
Differentiable Ranking and Sorting using Optimal Transport
Spotlight
Thu Dec 12 04:20 PM -- 04:25 PM (PST) @ West Exhibition Hall C + B3
A Step Toward Quantifying Independently Reproducible Machine Learning Research
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall A
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Ballroom C
R2D2: Reliable and Repeatable Detector and Descriptor
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Ballroom A + B
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Oral
Thu Dec 12 04:25 PM -- 04:40 PM (PST) @ West Exhibition Hall C + B3
On Robustness of Principal Component Regression
Spotlight
Thu Dec 12 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall A
Cross-lingual Language Model Pretraining
Spotlight
Thu Dec 12 04:40 PM -- 04:45 PM (PST) @ West Ballroom C
Quadratic Video Interpolation
Spotlight
Thu Dec 12 04:40 PM -- 04:45 PM (PST) @ West Ballroom A + B
KerGM: Kernelized Graph Matching
Spotlight
Thu Dec 12 04:40 PM -- 04:45 PM (PST) @ West Exhibition Hall C + B3
Private Learning Implies Online Learning: An Efficient Reduction
Spotlight
Thu Dec 12 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall A
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Spotlight
Thu Dec 12 04:45 PM -- 04:50 PM (PST) @ West Ballroom C
Training Image Estimators without Image Ground Truth
Spotlight
Thu Dec 12 04:45 PM -- 04:50 PM (PST) @ West Ballroom A + B
Wasserstein Weisfeiler-Lehman Graph Kernels
Spotlight
Thu Dec 12 04:45 PM -- 04:50 PM (PST) @ West Exhibition Hall C + B3
Private Stochastic Convex Optimization with Optimal Rates
Spotlight
Thu Dec 12 04:50 PM -- 04:55 PM (PST) @ West Exhibition Hall A
Evaluating Protein Transfer Learning with TAPE
Spotlight
Thu Dec 12 04:50 PM -- 04:55 PM (PST) @ West Ballroom C
STREETS: A Novel Camera Network Dataset for Traffic Flow
Spotlight
Thu Dec 12 04:50 PM -- 04:55 PM (PST) @ West Ballroom A + B
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
Spotlight
Thu Dec 12 04:50 PM -- 04:55 PM (PST) @ West Exhibition Hall C + B3
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
Spotlight
Thu Dec 12 04:55 PM -- 05:00 PM (PST) @ West Exhibition Hall A
Cormorant: Covariant Molecular Neural Networks
Spotlight
Thu Dec 12 04:55 PM -- 05:00 PM (PST) @ West Ballroom C
Reflection Separation using a Pair of Unpolarized and Polarized Images
Spotlight
Thu Dec 12 04:55 PM -- 05:00 PM (PST) @ West Ballroom A + B
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing
Spotlight
Thu Dec 12 04:55 PM -- 05:00 PM (PST) @ West Exhibition Hall C + B3
Differentially Private Markov Chain Monte Carlo
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #1
Average Case Column Subset Selection for Entrywise $\ell_1$-Norm Loss
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #2
On Distributed Averaging for Stochastic k-PCA
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #3
On Robustness of Principal Component Regression
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #4
Towards Practical Alternating Least-Squares for CCA
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #5
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #6
Comparing distributions: $\ell_1$ geometry improves kernel two-sample testing
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #7
Distributionally Robust Optimization and Generalization in Kernel Methods
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #8
Learning metrics for persistence-based summaries and applications for graph classification
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #9
Minimum Stein Discrepancy Estimators
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #10
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #11
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #12
Wasserstein Weisfeiler-Lehman Graph Kernels
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #13
Dimensionality reduction: theoretical perspective on practical measures
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #14
Learning nonlinear level sets for dimensionality reduction in function approximation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #15
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #16
Selecting the independent coordinates of manifolds with large aspect ratios
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #17
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #18
Unsupervised Co-Learning on $G$-Manifolds Across Irreducible Representations
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #19
Dying Experts: Efficient Algorithms with Optimal Regret Bounds
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #20
Dynamic Local Regret for Non-convex Online Forecasting
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #21
Online Convex Matrix Factorization with Representative Regions
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #22
Online Forecasting of Total-Variation-bounded Sequences
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #23
Online Stochastic Shortest Path with Bandit Feedback and Unknown Transition Function
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #24
Private Learning Implies Online Learning: An Efficient Reduction
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #25
Random Path Selection for Continual Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #26
Superposition of many models into one
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #27
User-Specified Local Differential Privacy in Unconstrained Adaptive Online Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #28
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #29
CPM-Nets: Cross Partial Multi-View Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #30
Cross-lingual Language Model Pretraining
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #31
Graph Transformer Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #32
Learning Representations by Maximizing Mutual Information Across Views
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #33
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #34
On the Fairness of Disentangled Representations
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #35
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #36
Stacked Capsule Autoencoders
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #37
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #38
Wasserstein Dependency Measure for Representation Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #39
Learning step sizes for unfolded sparse coding
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #40
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #41
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #42
Block Coordinate Regularization by Denoising
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #43
Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #44
Efficiently Learning Fourier Sparse Set Functions
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #45
Fast Sparse Group Lasso
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #46
Global Guarantees for Blind Demodulation with Generative Priors
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #47
Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #48
Inverting Deep Generative models, One layer at a time
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #49
Manifold denoising by Nonlinear Robust Principal Component Analysis
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #50
Rethinking the CSC Model for Natural Images
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #51
Sample Complexity of Learning Mixture of Sparse Linear Regressions
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #52
Sampling Sketches for Concave Sublinear Functions of Frequencies
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #53
Screening Sinkhorn Algorithm for Regularized Optimal Transport
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #54
Solving graph compression via optimal transport
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #55
Superset Technique for Approximate Recovery in One-Bit Compressed Sensing
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #56
Universality in Learning from Linear Measurements
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #57
Efficient Convex Relaxations for Streaming PCA
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #58
Thinning for Accelerating the Learning of Point Processes
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #59
Understanding Sparse JL for Feature Hashing
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #60
Differentiable Ranking and Sorting using Optimal Transport
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #61
Globally Optimal Learning for Structured Elliptical Losses
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #62
Graph Structured Prediction Energy Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #63
Search-Guided, Lightly-Supervised Training of Structured Prediction Energy Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #64
Structured Prediction with Projection Oracles
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #65
Flexible Modeling of Diversity with Strongly Log-Concave Distributions
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #66
Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #67
Hamiltonian Neural Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #68
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #69
Learning about an exponential amount of conditional distributions
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #70
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #71
Outlier Detection and Robust PCA Using a Convex Measure of Innovation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #72
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #73
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #74
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #75
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #76
Cormorant: Covariant Molecular Neural Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #77
Deep imitation learning for molecular inverse problems
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #78
End-to-End Learning on 3D Protein Structure for Interface Prediction
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #79
Evaluating Protein Transfer Learning with TAPE
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #80
Generative Models for Graph-Based Protein Design
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #81
Recurrent Kernel Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #82
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #83
Reflection Separation using a Pair of Unpolarized and Polarized Images
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #84
Training Image Estimators without Image Ground Truth
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #85
Making the Cut: A Bandit-based Approach to Tiered Interviewing
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #86
On Human-Aligned Risk Minimization
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #87
Blind Super-Resolution Kernel Estimation using an Internal-GAN
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #88
Chirality Nets for Human Pose Regression
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #89
Explicitly disentangling image content from translation and rotation with spatial-VAE
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #90
GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #91
Learning to Infer Implicit Surfaces without 3D Supervision
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #92
Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #93
A Self Validation Network for Object-Level Human Attention Estimation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #94
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #95
PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #96
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #97
Quadratic Video Interpolation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #98
R2D2: Reliable and Repeatable Detector and Descriptor
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #99
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #100
Spatial-Aware Feature Aggregation for Image based Cross-View Geo-Localization
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #101
STAR-Caps: Capsule Networks with Straight-Through Attentive Routing
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #102
Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #103
Variational Denoising Network: Toward Blind Noise Modeling and Removal
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #104
Ask not what AI can do, but what AI should do: Towards a framework of task delegability
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #105
Attribution-Based Confidence Metric For Deep Neural Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #106
Average Individual Fairness: Algorithms, Generalization and Experiments
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #107
Disentangling Influence: Using disentangled representations to audit model predictions
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #108
Equal Opportunity in Online Classification with Partial Feedback
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #109
Exploring Algorithmic Fairness in Robust Graph Covering Problems
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #110
Group Retention when Using Machine Learning in Sequential Decision Making: the Interplay between User Dynamics and Fairness
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #111
Inherent Tradeoffs in Learning Fair Representations
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #112
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #113
Offline Contextual Bandits with High Probability Fairness Guarantees
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #114
On Relating Explanations and Adversarial Examples
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #115
On Testing for Biases in Peer Review
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #116
On the (In)fidelity and Sensitivity of Explanations
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #117
Policy Learning for Fairness in Ranking
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #118
The Fairness of Risk Scores Beyond Classification: Bipartite Ranking and the XAUC Metric
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #119
Unlocking Fairness: a Trade-off Revisited
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #120
A Zero-Positive Learning Approach for Diagnosing Software Performance Regressions
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #121
Coda: An End-to-End Neural Program Decompiler
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #122
Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #123
Making AI Forget You: Data Deletion in Machine Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #124
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #125
The Synthesis of XNOR Recurrent Neural Networks with Stochastic Logic
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #126
Towards Hardware-Aware Tractable Learning of Probabilistic Models
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #127
Attentive State-Space Modeling of Disease Progression
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #128
Domain Generalization via Model-Agnostic Learning of Semantic Features
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #129
Recurrent Registration Neural Networks for Deformable Image Registration
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #130
Transfusion: Understanding Transfer Learning for Medical Imaging
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #131
Can Unconditional Language Models Recover Arbitrary Sentences?
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #132
Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #133
Defending Against Neural Fake News
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #134
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #135
Invariance and identifiability issues for word embeddings
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #136
Kernelized Bayesian Softmax for Text Generation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #137
Levenshtein Transformer
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #138
Neural Machine Translation with Soft Prototype
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #139
Paraphrase Generation with Latent Bag of Words
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #140
Unified Language Model Pre-training for Natural Language Understanding and Generation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #141
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #142
Adaptive Influence Maximization with Myopic Feedback
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #143
Conditional Structure Generation through Graph Variational Generative Adversarial Nets
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #144
GOT: An Optimal Transport framework for Graph comparison
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #145
KerGM: Kernelized Graph Matching
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #146
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #147
Variational Graph Recurrent Neural Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #148
vGraph: A Generative Model for Joint Community Detection and Node Representation Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #149
Learning Deep Bilinear Transformation for Fine-grained Image Representation
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #150
Learning Disentangled Representation for Robust Person Re-identification
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #151
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #152
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #153
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #154
Deep Leakage from Gradients
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #155
Defending Neural Backdoors via Generative Distribution Modeling
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #156
Differential Privacy Has Disparate Impact on Model Accuracy
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #157
Differentially Private Covariance Estimation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #158
Differentially Private Markov Chain Monte Carlo
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #159
Elliptical Perturbations for Differential Privacy
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #160
Oblivious Sampling Algorithms for Private Data Analysis
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #161
Practical Differentially Private Top-k Selection with Pay-what-you-get Composition
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #162
Privacy Amplification by Mixing and Diffusion Mechanisms
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #163
Private Stochastic Convex Optimization with Optimal Rates
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #164
Code Generation as a Dual Task of Code Summarization
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #165
Compiler Auto-Vectorization with Imitation Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #166
Learning Transferable Graph Exploration
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #167
Neural Attribution for Semantic Bug-Localization in Student Programs
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #168
Program Synthesis and Semantic Parsing with Learned Code Idioms
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #169
SPoC: Search-based Pseudocode to Code
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #170
Write, Execute, Assess: Program Synthesis with a REPL
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #171
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #172
muSSP: Efficient Min-cost Flow Algorithm for Multi-object Tracking
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #173
Region-specific Diffeomorphic Metric Mapping
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #174
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #175
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #176
Recurrent Space-time Graph Neural Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #177
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #178
Park: An Open Platform for Learning-Augmented Computer Systems
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #179
STREETS: A Novel Camera Network Dataset for Traffic Flow
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #180
A Step Toward Quantifying Independently Reproducible Machine Learning Research
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #181
GENO -- GENeric Optimization for Classical Machine Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #182
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #183
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #184
End to end learning and optimization on graphs
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #185
On the Downstream Performance of Compressed Word Embeddings
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #186
Quantum Embedding of Knowledge for Reasoning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #187
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #188
Embedding Symbolic Knowledge into Deep Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #189
Spherical Text Embedding
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #190
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #191
Episodic Memory in Lifelong Language Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #192
Generalization of Reinforcement Learners with Working and Episodic Memory
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #193
Large Memory Layers with Product Keys
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #194
Ordered Memory
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #195
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #196
Are deep ResNets provably better than linear predictors?
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #197
Efficient Rematerialization for Deep Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #198
Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #199
How to Initialize your Network? Robust Initialization for WeightNorm & ResNets
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #200
Lookahead Optimizer: k steps forward, 1 step back
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #201
Global Convergence of Gradient Descent for Deep Linear Residual Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #202
Piecewise Strong Convexity of Neural Networks
[
Paper]
[
3 min Video]
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #203
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #204
A Primal Dual Formulation For Deep Learning With Constraints
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #205
Surfing: Iterative Optimization Over Incrementally Trained Deep Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #206
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #207
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #208
An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #209
Bayesian Optimization with Unknown Search Space
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #210
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #211
Communication-Efficient Distributed Blockwise Momentum SGD with Error-Feedback
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #212
Distributed Low-rank Matrix Factorization With Exact Consensus
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #213
Efficient Algorithms for Smooth Minimax Optimization
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #214
Momentum-Based Variance Reduction in Non-Convex SGD
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #215
Provable Non-linear Inductive Matrix Completion
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #216
Semi-flat minima and saddle points by embedding neural networks to overparameterization
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #217
Shadowing Properties of Optimization Algorithms
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #218
Power analysis of knockoff filters for correlated designs
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #219
Concentration of risk measures: A Wasserstein distance approach
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #220
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #221
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #222
Discrimination in Online Markets: Effects of Social Bias on Learning from Reviews and Policy Design
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #223
Distinguishing Distributions When Samples Are Strategically Transformed
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #224
Manipulating a Learning Defender and Ways to Counteract
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #225
Prior-Free Dynamic Auctions with Low Regret Buyers
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #226
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #227
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #228
A General Framework for Symmetric Property Estimation
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #229
Generalization Bounds in the Predict-then-Optimize Framework
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #230
Generalization Error Analysis of Quantized Compressive Learning
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #231
Implicit Regularization of Accelerated Methods in Hilbert Spaces
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #232
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #233
Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #234
PAC-Bayes Un-Expected Bernstein Inequality
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #235
Private Testing of Distributions via Sample Permutations
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #236
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #237
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #238
Theoretical Analysis of Adversarial Learning: A Minimax Approach
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #239
Unified Sample-Optimal Property Estimation in Near-Linear Time
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #240
Gradient Dynamics of Shallow Univariate ReLU Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #241
Kernel quadrature with DPPs
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #242
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #243
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #244
On the Expressive Power of Deep Polynomial Neural Networks
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #245
On the Inductive Bias of Neural Tangent Kernels
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #246
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs