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Poster
Accounting for network effects in neuronal responses using L1 regularized point process models
Placeholder
Sun Dec 05 04:00 PM -- 08:00 PM (PST) @ NIPS Registration Desk, 3rd Floor Hyatt
Registration Desk
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Spike timing-dependent plasticity as dynamic filter
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Direct Loss Minimization for Structured Prediction
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A Computational Decision Theory for Interactive Assistants
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Occlusion Detection and Motion Estimation with Convex Optimization
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Empirical Risk Minimization with Approximations of Probabilistic Grammars
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Probabilistic Belief Revision with Structural Constraints
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Functional form of motion priors in human motion perception
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multitask Learning without Label Correspondences
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Beyond Actions: Discriminative Models for Contextual Group Activities
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Fast Large-scale Mixture Modeling with Component-specific Data Partitions
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Layer-wise analysis of deep networks with Gaussian kernels
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Generative Local Metric Learning for Nearest Neighbor Classification
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Learning Kernels with Radiuses of Minimum Enclosing Balls
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Why are some word orders more common than others? A uniform information density account
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Mixture of time-warped trajectory models for movement decoding
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Group Sparse Coding with a Laplacian Scale Mixture Prior
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
PAC-Bayesian Model Selection for Reinforcement Learning
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Adaptive Multi-Task Lasso: with Application to eQTL Detection
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Decoding Ipsilateral Finger Movements from ECoG Signals in Humans
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
An Approximate Inference Approach to Temporal Optimization in Optimal Control
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Inference with Multivariate Heavy-Tails in Linear Models
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Efficient Relational Learning with Hidden Variable Detection
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Heavy-Tailed Process Priors for Selective Shrinkage
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
On the Theory of Learnining with Privileged Information
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Short-term memory in neuronal networks through dynamical compressed sensing
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
The Maximal Causes of Natural Scenes are Edge Filters
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A unified model of short-range and long-range motion perception
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Random Conic Pursuit for Semidefinite Programming
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sidestepping Intractable Inference with Structured Ensemble Cascades
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Convex Multiple-Instance Learning by Estimating Likelihood Ratio
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Regularized estimation of image statistics by Score Matching
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Towards Property-Based Classification of Clustering Paradigms
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
MAP Estimation for Graphical Models by Likelihood Maximization
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Structural epitome: a way to summarize one’s visual experience
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Energy Disaggregation via Discriminative Sparse Coding
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Batch Bayesian Optimization via Simulation Matching
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Generalized roof duality and bisubmodular functions
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Size Matters: Metric Visual Search Constraints from Monocular Metadata
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Nonparametric Bayesian Policy Priors for Reinforcement Learning
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
b-Bit Minwise Hashing for Estimating Three-Way Similarities
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Fast detection of multiple change-points shared by many signals using group LARS
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Empirical Bernstein Inequalities for U-Statistics
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
An Alternative to Low-level-Sychrony-Based Methods for Speech Detection
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Basis Construction from Power Series Expansions of Value Functions
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Co-regularization Based Semi-supervised Domain Adaptation
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sparse Inverse Covariance Selection via Alternating Linearization Methods
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Two-Layer Generalization Analysis for Ranking Using Rademacher Average
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Error Propagation for Approximate Policy and Value Iteration
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine
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Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Getting lost in space: Large sample analysis of the resistance distance
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Placeholder
Mon Dec 06 08:00 AM -- 06:00 PM (PST) @ Oxford Room
Internet Cafe
Placeholder
Mon Dec 06 08:00 AM -- 06:00 PM (PST) @ Registration Desk, 3rd Floor Hyatt
Registration Desk
Tutorial
Mon Dec 06 09:30 AM -- 11:30 AM (PST) @ Regency E/F
High-dimensional Statistics: Prediction, Association and Causal Inference
Tutorial
Mon Dec 06 09:30 AM -- 11:30 AM (PST)
Reinforcement Learning for Embodied Cognition
Tutorial
Mon Dec 06 01:00 PM -- 03:00 PM (PST) @ Regency E/F
Optimization Algorithms in Machine Learning
Tutorial
Mon Dec 06 01:00 PM -- 03:00 PM (PST) @ Regency D
Reinforcement Learning in Humans and Other Animals
Tutorial
Mon Dec 06 03:30 PM -- 05:30 PM (PST) @ Regency D
Vision-Based Control, Control-Based Vision, and the Information Knot That Ties Them
Tutorial
Mon Dec 06 03:30 PM -- 05:30 PM (PST) @ Regency E/F
Latent Factor Models for Relational Arrays and Network Data
Talk
Mon Dec 06 06:15 PM -- 06:30 PM (PST) @ Regency Ballroom
Opening Remarks and Awards
Session
Mon Dec 06 06:30 PM -- 06:55 PM (PST)
Spotlights Session 1
Spotlight
Mon Dec 06 06:30 PM -- 06:35 PM (PST) @ Regency Ballroom
Learning from Candidate Labeling Sets
Spotlight
Mon Dec 06 06:35 PM -- 06:40 PM (PST) @ Regency Ballroom
Why are some word orders more common than others? A uniform information density account
Spotlight
Mon Dec 06 06:40 PM -- 06:45 PM (PST) @ Regency Ballroom
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
Spotlight
Mon Dec 06 06:45 PM -- 06:50 PM (PST) @ Regency Ballroom
b-Bit Minwise Hashing for Estimating Three-Way Similarities
Spotlight
Mon Dec 06 06:50 PM -- 06:55 PM (PST) @ Regency Ballroom
Getting lost in space: Large sample analysis of the resistance distance
Session
Mon Dec 06 07:00 PM -- 11:59 PM (PST) @ 2nd and 3rd Floors, Hyatt
Poster Session and Reception
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Worst-case bounds on the quality of max-product fixed-points
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Efficient Minimization of Decomposable Submodular Functions
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning invariant features using the Transformed Indian Buffet Process
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Factorized Latent Spaces with Structured Sparsity
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Lifted Inference Seen from the Other Side : The Tractable Features
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Static Analysis of Binary Executables Using Structural SVMs
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Large-Scale Matrix Factorization with Missing Data under Additional Constraints
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Avoiding False Positive in Multi-Instance Learning
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Structured sparsity-inducing norms through submodular functions
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
An analysis on negative curvature induced by singularity in multi-layer neural-network learning
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A biologically plausible network for the computation of orientation dominance
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Movement extraction by detecting dynamics switches and repetitions
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Extended Bayesian Information Criteria for Gaussian Graphical Models
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Bayesian Framework for Figure-Ground Interpretation
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Global seismic monitoring as probabilistic inference
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning Convolutional Feature Hierarchies for Visual Recognition
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inference and communication in the game of Password
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Approximate Inference by Compilation to Arithmetic Circuits
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Evaluating neuronal codes for inference using Fisher information
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A rational decision making framework for inhibitory control
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Transduction with Matrix Completion: Three Birds with One Stone
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning to localise sounds with spiking neural networks
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Causal discovery in multiple models from different experiments
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Evaluation of Rarity of Fingerprints in Forensics
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Near-Optimal Bayesian Active Learning with Noisy Observations
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Over-complete representations on recurrent neural networks can support persistent percepts
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Exact learning curves for Gaussian process regression on large random graphs
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Decomposing Isotonic Regression for Efficiently Solving Large Problems
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Improving Human Judgments by Decontaminating Sequential Dependencies
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Multi-View Active Learning in the Non-Realizable Case
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Active Learning Applied to Patient-Adaptive Heartbeat Classification
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Probabilistic Inference and Differential Privacy
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
MAP estimation in Binary MRFs via Bipartite Multi-cuts
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inductive Regularized Learning of Kernel Functions
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Discriminative Clustering by Regularized Information Maximization
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Individualized ROI Optimization via Maximization of Group-wise Consistency of Structural and Functional Profiles
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Permutation Complexity Bound on Out-Sample Error
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Optimal learning rates for Kernel Conjugate Gradient regression
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Joint Cascade Optimization Using A Product Of Boosted Classifiers
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning concept graphs from text with stick-breaking priors
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Practical Large-Scale Optimization for Max-norm Regularization
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Pose-Sensitive Embedding by Nonlinear NCA Regression
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Semi-Supervised Learning with Adversarially Missing Label Information
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Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories
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Placeholder
Tue Dec 07 07:30 AM -- 09:00 AM (PST) @ Perspectives Level, 34th Floor Hyatt
Breakfast
Placeholder
Tue Dec 07 08:00 AM -- 06:00 PM (PST) @ Registration Desk, 3rd Floor Hyatt
Registration Desk
Placeholder
Tue Dec 07 08:00 AM -- 06:00 PM (PST) @ Oxford Room
Internet Cafe
Placeholder
Tue Dec 07 08:00 AM -- 09:00 AM (PST) @ Regency A, Conference Level
Breakfast
Invited Talk
Tue Dec 07 08:30 AM -- 09:20 AM (PST) @ Regency Ballroom
How Does the Brain Compute and Compare Values at the Time of Decision-Making?
Session
Tue Dec 07 08:30 AM -- 09:40 AM (PST)
Oral Session 1
Oral
Tue Dec 07 09:20 AM -- 09:40 AM (PST) @ Regency Ballroom
Over-complete representations on recurrent neural networks can support persistent percepts
Session
Tue Dec 07 09:40 AM -- 10:00 AM (PST)
Spotlights Session 2
Spotlight
Tue Dec 07 09:40 AM -- 09:45 AM (PST) @ Regency Ballroom
Improving Human Judgments by Decontaminating Sequential Dependencies
Spotlight
Tue Dec 07 09:45 AM -- 09:50 AM (PST) @ Regency Ballroom
Learning to localise sounds with spiking neural networks
Spotlight
Tue Dec 07 09:50 AM -- 09:55 AM (PST) @ Regency Ballroom
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system
Spotlight
Tue Dec 07 09:55 AM -- 10:00 AM (PST) @ Regency Ballroom
Attractor Dynamics with Synaptic Depression
Oral
Tue Dec 07 10:00 AM -- 10:20 AM (PST) @ Regency Ballroom
A rational decision making framework for inhibitory control
Session
Tue Dec 07 10:00 AM -- 10:20 AM (PST)
Oral Session 2
Break
Tue Dec 07 10:20 AM -- 10:50 AM (PST) @ Regency Ballroom
Break
Oral
Tue Dec 07 10:50 AM -- 11:10 AM (PST) @ Regency Ballroom
A Theory of Multiclass Boosting
Session
Tue Dec 07 10:50 AM -- 11:10 AM (PST)
Oral Session 3
Session
Tue Dec 07 11:10 AM -- 11:30 AM (PST)
Spotlights Session 3
Spotlight
Tue Dec 07 11:10 AM -- 11:15 AM (PST) @ Regency Ballroom
Copula Processes
Spotlight
Tue Dec 07 11:15 AM -- 11:20 AM (PST) @ Regency Ballroom
A biologically plausible network for the computation of orientation dominance
Spotlight
Tue Dec 07 11:20 AM -- 11:25 AM (PST) @ Regency Ballroom
Learning Convolutional Feature Hierarchies for Visual Recognition
Spotlight
Tue Dec 07 11:25 AM -- 11:30 AM (PST) @ Regency Ballroom
LSTD with Random Projections
Oral
Tue Dec 07 11:30 AM -- 11:50 AM (PST) @ Regency Ballroom
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
Session
Tue Dec 07 11:30 AM -- 11:50 AM (PST)
Oral Session 4
Session
Tue Dec 07 11:50 AM -- 12:10 PM (PST)
Spotlights Session 4
Spotlight
Tue Dec 07 11:50 AM -- 11:55 AM (PST) @ Regency Ballroom
Kernel Descriptors for Visual Recognition
Spotlight
Tue Dec 07 11:55 AM -- 12:00 PM (PST) @ Regency Ballroom
Minimum Average Cost Clustering
Spotlight
Tue Dec 07 12:00 PM -- 12:05 PM (PST) @ Regency Ballroom
Identifying Dendritic Processing
Spotlight
Tue Dec 07 12:05 PM -- 12:10 PM (PST) @ Regency Ballroom
Probabilistic Inference and Differential Privacy
Break
Tue Dec 07 12:10 PM -- 02:00 PM (PST) @ Regency Ballroom
Lunch
Invited Talk
Tue Dec 07 02:00 PM -- 02:50 PM (PST) @ Regency Ballroom
Machine Learning with Human Intelligence: Principled Corner Cutting (PC2)
Session
Tue Dec 07 02:00 PM -- 03:10 PM (PST)
Oral Session 5
Oral
Tue Dec 07 02:50 PM -- 03:10 PM (PST) @ Regency Ballroom
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
Session
Tue Dec 07 03:10 PM -- 03:30 PM (PST)
Spotlights Session 5
Spotlight
Tue Dec 07 03:10 PM -- 03:15 PM (PST) @ Regency Ballroom
Trading off Mistakes and Don't-Know Predictions
Spotlight
Tue Dec 07 03:15 PM -- 03:20 PM (PST) @ Regency Ballroom
Exact learning curves for Gaussian process regression on large random graphs
Spotlight
Tue Dec 07 03:20 PM -- 03:25 PM (PST) @ Regency Ballroom
Synergies in learning words and their referents
Spotlight
Tue Dec 07 03:25 PM -- 03:30 PM (PST) @ Regency Ballroom
Learning concept graphs from text with stick-breaking priors
Oral
Tue Dec 07 03:30 PM -- 03:50 PM (PST) @ Regency Ballroom
Structured sparsity-inducing norms through submodular functions
Session
Tue Dec 07 03:30 PM -- 03:50 PM (PST)
Oral Session 6
Break
Tue Dec 07 03:50 PM -- 04:20 PM (PST) @ Regency Ballroom
Break
Oral
Tue Dec 07 04:20 PM -- 04:40 PM (PST) @ Regency Ballroom
Semi-Supervised Learning with Adversarially Missing Label Information
Session
Tue Dec 07 04:20 PM -- 05:00 PM (PST)
Oral Session 7
Oral
Tue Dec 07 04:40 PM -- 05:00 PM (PST) @ Regency Ballroom
MAP estimation in Binary MRFs via Bipartite Multi-cuts
Session
Tue Dec 07 05:00 PM -- 05:20 PM (PST)
Spotlights Session 6
Spotlight
Tue Dec 07 05:00 PM -- 05:05 PM (PST) @ Regency Ballroom
Efficient Minimization of Decomposable Submodular Functions
Spotlight
Tue Dec 07 05:05 PM -- 05:10 PM (PST) @ Regency Ballroom
Worst-case bounds on the quality of max-product fixed-points
Spotlight
Tue Dec 07 05:10 PM -- 05:15 PM (PST) @ Regency Ballroom
Learning To Count Objects in Images
Spotlight
Tue Dec 07 05:15 PM -- 05:20 PM (PST) @ Regency Ballroom
Learning invariant features using the Transformed Indian Buffet Process
Oral
Tue Dec 07 05:20 PM -- 05:40 PM (PST) @ Regency Ballroom
A Dirty Model for Multi-task Learning
Session
Tue Dec 07 05:20 PM -- 05:40 PM (PST)
Oral Session 8
Session
Tue Dec 07 05:40 PM -- 06:00 PM (PST)
Spotlights Session 7
Spotlight
Tue Dec 07 05:40 PM -- 05:45 PM (PST) @ Regency Ballroom
Multiple Kernel Learning and the SMO Algorithm
Spotlight
Tue Dec 07 05:45 PM -- 05:50 PM (PST) @ Regency Ballroom
Variational Inference over Combinatorial Spaces
Spotlight
Tue Dec 07 05:50 PM -- 05:55 PM (PST) @ Regency Ballroom
Inductive Regularized Learning of Kernel Functions
Spotlight
Tue Dec 07 05:55 PM -- 06:00 PM (PST) @ Regency Ballroom
Probabilistic Deterministic Infinite Automata
Demonstration
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
A framework for evaluating and designing 'attention mechanism' implementations based on tracking of human eye movements
Demonstration
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
MetaOptimize: A Q+A site for machine learning
Demonstration
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
Project Emporia: News Recommendation using Graphical Models
Demonstration
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
NeuFlow: a dataflow processor for convolutional nets and other real-time algorithms
Demonstration
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
Haptic Information Presentation Through Vibro Tactile
Demonstration
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
mldata.org - machine learning data and benchmark
Session
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
Demonstrations
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Switched Latent Force Models for Movement Segmentation
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Linear readout from a neural population with partial correlation data
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Lower Bounds on Rate of Convergence of Cutting Plane Methods
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Linear Complementarity for Regularized Policy Evaluation and Improvement
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Markov Decision Processes under Bandit Feedback
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
On the Convexity of Latent Social Network Inference
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Sphere Embedding: An Application to Part-of-Speech Induction
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Sample Complexity of Testing the Manifold Hypothesis
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Probabilistic latent variable models for distinguishing between cause and effect
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Evidence-Specific Structures for Rich Tractable CRFs
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
The LASSO risk: asymptotic results and real world examples
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Multiple Tasks using Manifold Regularization
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Generating more realistic images using gated MRF's
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Global Analytic Solution for Variational Bayesian Matrix Factorization
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Efficient Optimization for Discriminative Latent Class Models
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Approximate inference in continuous time Gaussian-Jump processes
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Brain covariance selection: better individual functional connectivity models using population prior
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
New Adaptive Algorithms for Online Classification
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Learning in The Manifold of Low-Rank Matrices
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Identifying graph-structured activation patterns in networks
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Shadow Dirichlet for Restricted Probability Modeling
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Implicit encoding of prior probabilities in optimal neural populations
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Variational bounds for mixed-data factor analysis
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning to combine foveal glimpses with a third-order Boltzmann machine
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Slice sampling covariance hyperparameters of latent Gaussian models
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
More data means less inference: A pseudo-max approach to structured learning
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Phoneme Recognition with Large Hierarchical Reservoirs
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Networks of Stochastic Differential Equations
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Reduction from Apprenticeship Learning to Classification
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A novel family of non-parametric cumulative based divergences for point processes
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Extensions of Generalized Binary Search to Group Identification and Exponential Costs
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Guaranteed Rank Minimization via Singular Value Projection
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Moreau-Yosida Regularization for Grouped Tree Structure Learning
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Active Learning by Querying Informative and Representative Examples
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Family of Penalty Functions for Structured Sparsity
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Novel Kernel for Learning a Neuron Model from Spike Train Data
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Using body-anchored priors for identifying actions in single images
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Simultaneous Object Detection and Ranking with Weak Supervision
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Robust Clustering as Ensembles of Affinity Relations
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Large Margin Learning of Upstream Scene Understanding Models
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Distributionally Robust Markov Decision Processes
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Multivariate Dyadic Regression Trees for Sparse Learning Problems
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Tight Sample Complexity of Large-Margin Learning
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Label Embedding Trees for Large Multi-Class Tasks
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Exact inference and learning for cumulative distribution functions on loopy graphs
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Classification with Specificity Constraints
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Spatial and anatomical regularization of SVM for brain image analysis
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Feature Construction for Inverse Reinforcement Learning
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Discriminative Latent Model of Image Region and Object Tag Correspondence
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Tree-Structured Stick Breaking for Hierarchical Data
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Functional Geometry Alignment and Localization of Brain Areas
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Accounting for network effects in neuronal responses using L1 regularized point process models
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Construction of Dependent Dirichlet Processes based on Poisson Processes
[
PDF]
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Universal Consistency of Multi-Class Support Vector Classification
[
PDF]
Placeholder
Wed Dec 08 07:30 AM -- 09:00 AM (PST) @ Perspectives Level, 34th Floor Hyatt
Breakfast
Placeholder
Wed Dec 08 08:00 AM -- 06:00 PM (PST) @ Conference Level
Registration Desk
Placeholder
Wed Dec 08 08:00 AM -- 06:00 PM (PST) @ Oxford Room
Internet Cafe
Placeholder
Wed Dec 08 08:00 AM -- 09:00 AM (PST) @ Regency A
Breakfast
Invited Talk
Wed Dec 08 08:30 AM -- 09:20 AM (PST) @ Regency Ballroom
The Interplay of Machine Learning and Mechanism Design
Session
Wed Dec 08 08:30 AM -- 09:40 AM (PST)
Oral Session 9
Oral
Wed Dec 08 09:20 AM -- 09:40 AM (PST) @ Regency Ballroom
Linear Complementarity for Regularized Policy Evaluation and Improvement
Session
Wed Dec 08 09:40 AM -- 10:00 AM (PST)
Spotlights Session 8
Spotlight
Wed Dec 08 09:40 AM -- 09:45 AM (PST) @ Regency Ballroom
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
Spotlight
Wed Dec 08 09:45 AM -- 09:50 AM (PST) @ Regency Ballroom
Online Classification with Specificity Constraints
Spotlight
Wed Dec 08 09:50 AM -- 09:55 AM (PST) @ Regency Ballroom
Exact inference and learning for cumulative distribution functions on loopy graphs
Spotlight
Wed Dec 08 09:55 AM -- 10:00 AM (PST) @ Regency Ballroom
Global Analytic Solution for Variational Bayesian Matrix Factorization
Oral
Wed Dec 08 10:00 AM -- 10:20 AM (PST) @ Regency Ballroom
The Multidimensional Wisdom of Crowds
Session
Wed Dec 08 10:00 AM -- 10:20 AM (PST)
Oral Session 10
Break
Wed Dec 08 10:20 AM -- 10:50 AM (PST) @ Regency Ballroom
Break
Oral
Wed Dec 08 10:50 AM -- 11:10 AM (PST) @ Regency Ballroom
Construction of Dependent Dirichlet Processes based on Poisson Processes
Session
Wed Dec 08 10:50 AM -- 11:10 AM (PST)
Oral Session 11
Session
Wed Dec 08 11:10 AM -- 11:30 AM (PST)
Spotlights Session 9
Spotlight
Wed Dec 08 11:10 AM -- 11:15 AM (PST) @ Regency Ballroom
Throttling Poisson Processes
Spotlight
Wed Dec 08 11:15 AM -- 11:20 AM (PST) @ Regency Ballroom
Graph-Valued Regression
Spotlight
Wed Dec 08 11:20 AM -- 11:25 AM (PST) @ Regency Ballroom
Switched Latent Force Models for Movement Segmentation
Spotlight
Wed Dec 08 11:25 AM -- 11:30 AM (PST) @ Regency Ballroom
Online Markov Decision Processes under Bandit Feedback
Oral
Wed Dec 08 11:30 AM -- 11:50 AM (PST) @ Regency Ballroom
Slice sampling covariance hyperparameters of latent Gaussian models
Session
Wed Dec 08 11:30 AM -- 11:50 AM (PST)
Oral Session 12
Session
Wed Dec 08 11:50 AM -- 12:10 PM (PST)
Spotlights Session 10
Spotlight
Wed Dec 08 11:50 AM -- 11:55 AM (PST) @ Regency Ballroom
Distributed Dual Averaging In Networks
Spotlight
Wed Dec 08 11:55 AM -- 12:00 PM (PST) @ Regency Ballroom
A Family of Penalty Functions for Structured Sparsity
Spotlight
Wed Dec 08 12:00 PM -- 12:05 PM (PST) @ Regency Ballroom
Guaranteed Rank Minimization via Singular Value Projection
Spotlight
Wed Dec 08 12:05 PM -- 12:10 PM (PST) @ Regency Ballroom
Online Learning for Latent Dirichlet Allocation
Break
Wed Dec 08 12:10 PM -- 02:00 PM (PST) @ Regency Ballroom
Lunch
Invited Talk (Posner Lecture)
Wed Dec 08 02:00 PM -- 02:50 PM (PST) @ Regency Ballroom
Statistical Inference of Protein Structure and Function
Session
Wed Dec 08 02:00 PM -- 03:10 PM (PST)
Oral Session 13
Oral
Wed Dec 08 02:50 PM -- 03:10 PM (PST) @ Regency Ballroom
Tree-Structured Stick Breaking for Hierarchical Data
Session
Wed Dec 08 03:10 PM -- 03:30 PM (PST)
Spotlights Session 11
Spotlight
Wed Dec 08 03:10 PM -- 03:15 PM (PST) @ Regency Ballroom
Structured Determinantal Point Processes
Spotlight
Wed Dec 08 03:15 PM -- 03:20 PM (PST) @ Regency Ballroom
Supervised Clustering
Spotlight
Wed Dec 08 03:20 PM -- 03:25 PM (PST) @ Regency Ballroom
Online Learning in The Manifold of Low-Rank Matrices
Spotlight
Wed Dec 08 03:25 PM -- 03:30 PM (PST) @ Regency Ballroom
Sample Complexity of Testing the Manifold Hypothesis
Oral
Wed Dec 08 03:30 PM -- 03:50 PM (PST) @ Regency Ballroom
Identifying graph-structured activation patterns in networks
Session
Wed Dec 08 03:30 PM -- 03:50 PM (PST)
Oral Session 14
Break
Wed Dec 08 03:50 PM -- 04:20 PM (PST) @ Regency Ballroom
Break
Oral
Wed Dec 08 04:20 PM -- 04:40 PM (PST) @ Regency Ballroom
Phoneme Recognition with Large Hierarchical Reservoirs
Session
Wed Dec 08 04:20 PM -- 05:00 PM (PST)
Oral Session 15
Oral
Wed Dec 08 04:40 PM -- 05:00 PM (PST) @ Regency Ballroom
Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch
Session
Wed Dec 08 05:00 PM -- 05:20 PM (PST)
Spotlights Session 12
Spotlight
Wed Dec 08 05:00 PM -- 05:05 PM (PST) @ Regency Ballroom
Functional Geometry Alignment and Localization of Brain Areas
Spotlight
Wed Dec 08 05:05 PM -- 05:10 PM (PST) @ Regency Ballroom
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures
Spotlight
Wed Dec 08 05:10 PM -- 05:15 PM (PST) @ Regency Ballroom
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient
Spotlight
Wed Dec 08 05:15 PM -- 05:20 PM (PST) @ Regency Ballroom
Shadow Dirichlet for Restricted Probability Modeling
Oral
Wed Dec 08 05:20 PM -- 05:40 PM (PST) @ Regency Ballroom
On the Convexity of Latent Social Network Inference
Session
Wed Dec 08 05:20 PM -- 05:40 PM (PST)
Oral Session 16
Session
Wed Dec 08 05:40 PM -- 06:00 PM (PST)
Spotlights Session 13
Spotlight
Wed Dec 08 05:40 PM -- 05:45 PM (PST) @ Regency Ballroom
Learning from Logged Implicit Exploration Data
Spotlight
Wed Dec 08 05:45 PM -- 05:50 PM (PST) @ Regency Ballroom
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication
Spotlight
Wed Dec 08 05:50 PM -- 05:55 PM (PST) @ Regency Ballroom
Feature Set Embedding for Incomplete Data
Spotlight
Wed Dec 08 05:55 PM -- 06:00 PM (PST) @ Regency Ballroom
More data means less inference: A pseudo-max approach to structured learning
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
The SHOGUN Machine Learning Toolbox
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
Platform to Share Feature Extraction Methods
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
Globby: It's a Search Engine with a Sorting View
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
BCI Demonstration using a Dry-Electrode
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
Visual Object Recognition with NN Convolutional & Spiking; Test on Traffic Signs
Session
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
Demonstrations
Placeholder
Thu Dec 09 07:30 AM -- 09:00 AM (PST) @ Perspectives Level, 34th Floor Hyatt
Breakfast
Placeholder
Thu Dec 09 08:00 AM -- 11:00 AM (PST) @ Oxford Room
Internet Cafe
Placeholder
Thu Dec 09 08:00 AM -- 11:00 AM (PST) @ Registration Desk, 3rd Floor Hyatt
Registration Desk
Placeholder
Thu Dec 09 08:00 AM -- 09:00 AM (PST) @ Regency A
Breakfast
Invited Talk
Thu Dec 09 09:00 AM -- 09:50 AM (PST) @ Regency Ballroom
Perceptual Bases for Rules of Thumb in Photography
Session
Thu Dec 09 09:00 AM -- 10:10 AM (PST)
Oral Session 17
Oral
Thu Dec 09 09:50 AM -- 10:10 AM (PST) @ Regency Ballroom
Learning to combine foveal glimpses with a third-order Boltzmann machine
Break
Thu Dec 09 10:10 AM -- 10:40 AM (PST) @ Regency Ballroom
Break
Invited Talk (Posner Lecture)
Thu Dec 09 10:40 AM -- 11:30 AM (PST) @ Regency Ballroom
How to Grow a Mind: Statistics, Structure and Abstraction
Session
Thu Dec 09 10:40 AM -- 11:50 AM (PST)
Oral Session 18
Oral
Thu Dec 09 11:30 AM -- 11:50 AM (PST) @ Regency Ballroom
Humans Learn Using Manifolds, Reluctantly
Session
Thu Dec 09 02:00 PM -- 05:00 PM (PST) @ 3rd Floor Hyatt Regency, Vancouver
The Sam Roweis Symposium
Talk
Thu Dec 09 02:00 PM -- 02:30 PM (PST)
Unifying Views in Unsupervised Learning
Talk
Thu Dec 09 03:00 PM -- 03:30 PM (PST)
A Probabilistic Approach to Data Visualization
Placeholder
Thu Dec 09 04:00 PM -- 08:00 PM (PST) @ Registration Desk, Westin Lobby, Whistler
Registration Desk
Placeholder
Thu Dec 09 07:30 PM -- 09:00 PM (PST) @ Whistler Westin Emerald Ballroom
Reception
Placeholder
Thu Dec 09 07:30 PM -- 07:45 PM (PST)
Opening Remarks
Placeholder
Fri Dec 10 06:30 AM -- 08:00 AM (PST) @ Westin Lobby
Breakfast
Placeholder
Fri Dec 10 07:00 AM -- 11:00 AM (PST) @ Whistler Westin Lobby
Registration Desk
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Emerald A
Optimization for Machine Learning
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Cheakmus
Deep Learning and Unsupervised Feature Learning
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe B
Machine Learning in Computational Biology
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt Currie North
Monte Carlo Methods for Bayesian Inference in Modern Day Applications
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt Currie South
Robust Statistical Learning
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine BC
Beyond classification: Machine Learning for next generation Computer Vision challenges
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe A
Practical Application of Sparse Modeling: Open Issues and New Directions
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Black Tusk
Decision Making with Multiple Imperfect Decision Makers
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Glacier
Machine Learning for Assistive Technologies
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine DE
Coarse-to-Fine Learning and Inference
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Nordic
Tensors, Kernels, and Machine Learning
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine A
Modeling Human Communication Dynamics
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Diamond Head
Machine Learning in Online Advertising
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Callaghan
Computational Social Science and the Wisdom of Crowds
Placeholder
Fri Dec 10 03:30 PM -- 06:00 PM (PST) @ Whistler Westin Lobby
Registration Desk
Placeholder
Sat Dec 11 06:30 AM -- 08:00 AM (PST) @ Westin Lobby
Breakfast
Placeholder
Sat Dec 11 07:00 AM -- 11:00 AM (PST) @ Whistler Westin Lobby
Registration Desk
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt Currie South
Learning on Cores, Clusters, and Clouds
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe A
Learning and Planning from Batch Time Series Data
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Diamond Head
Numerical Mathematics Challenges in Machine Learning
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe B
Predictive Models in Personalized Medicine
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Cheakmus
Discrete Optimization in Machine Learning: Structures, Algorithms and Applications
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine A
Machine Learning for Social Computing
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Glacier
Charting Chemical Space: Challenges and Opportunities for AI and Machine Learning
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine DE
Challenges of Data Visualization
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine BC
Low-rank Methods for Large-scale Machine Learning
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Black Tusk
Machine Learning meets Computational Photography
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Emerald A
Transfer Learning Via Rich Generative Models.
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Nordic
Networks Across Disciplines: Theory and Applications
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Callaghan
Advances in Activity-Dependent Synaptic Plasticity
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt Currie North
New Directions in Multiple Kernel Learning
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Sat Dec 11 07:30 PM -- 10:30 PM (PST) @ Westin Emerald Ballroom
Workshops Banquet