Skip to yearly menu bar Skip to main content


(100 events)   Timezone:  
Show all
Toggle Poster Visibility
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning Convolutional Feature Hierarchies for Visual Recognition
In Poster Session
koray kavukcuoglu · Pierre Sermanet · Y-Lan Boureau · Karol Gregor · Michael Mathieu · Yann LeCun
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Variational Inference over Combinatorial Spaces
In Poster Session
Alexandre Bouchard-Côté · Michael Jordan
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Multiple Kernel Learning and the SMO Algorithm
In Poster Session
S.V.N. Vishwanathan · Zhaonan sun · Nawanol T Ampornpunt · Manik Varma
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Robust PCA via Outlier Pursuit
In Poster Session
Huan Xu · Constantine Caramanis · Sujay Sanghavi
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Active Learning Applied to Patient-Adaptive Heartbeat Classification
In Poster Session
Jenna Wiens · John Guttag
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning To Count Objects in Images
In Poster Session
Victor Lempitsky · Andrew Zisserman
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Kernel Descriptors for Visual Recognition
In Poster Session
Liefeng Bo · Xiaofeng Ren · Dieter Fox
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Evaluating neuronal codes for inference using Fisher information
In Poster Session
Ralf Haefner · Matthias Bethge
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A rational decision making framework for inhibitory control
In Poster Session
Pradeep Shenoy · Rajesh PN Rao · Angela Yu
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning to localise sounds with spiking neural networks
In Poster Session
Dan F Goodman · Romain Brette
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Smoothness, Low Noise and Fast Rates
In Poster Session
Nati Srebro · Karthik Sridharan · Ambuj Tewari
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Trading off Mistakes and Don't-Know Predictions
In Poster Session
Amin Sayedi · Morteza Zadimoghaddam · Avrim Blum
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Probabilistic Inference and Differential Privacy
In Poster Session
Oliver Williams · Frank McSherry
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Probabilistic Deterministic Infinite Automata
In Poster Session
David Pfau · Nicholas Bartlett · Frank Wood
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
In Poster Session
Sasha Rakhlin · Karthik Sridharan · Ambuj Tewari
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Theory of Multiclass Boosting
In Poster Session
Indraneel Mukherjee · Robert E Schapire
[ PDF] 
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
In Poster Session
Sylvain Chevallier · Helene Paugam-Moisy · Michele Sebag
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
In Poster Session
Yao-Liang Yu · Min Yang · Linli Xu · Martha White · Dale Schuurmans
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Near-Optimal Bayesian Active Learning with Noisy Observations
In Poster Session
Daniel Golovin · Andreas Krause · Debajyoti Ray
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Exact learning curves for Gaussian process regression on large random graphs
In Poster Session
Matthew J Urry · Peter Sollich
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Deep Coding Network
In Poster Session
Yuanqing Lin · Tong Zhang · Shenghuo Zhu · Kai Yu
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Constructing Skill Trees for Reinforcement Learning Agents from Demonstration Trajectories
In Poster Session
George Konidaris · Scott R Kuindersma · Andrew G Barto · Roderic A Grupen
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
In Poster Session
Alekh Agarwal · Sahand N Negahban · Martin J Wainwright
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Network Flow Algorithms for Structured Sparsity
In Poster Session
Julien Mairal · Rodolphe Jenatton · Guillaume R Obozinski · Francis Bach
[ PDF] 
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
In Poster Session
Eiji Mizutani · Stuart Dreyfus
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Bayesian Framework for Figure-Ground Interpretation
In Poster Session
Vicky Froyen · Jacob Feldman · Manish Singh
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inference and communication in the game of Password
In Poster Session
Yang Xu · Charles Kemp
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Evaluation of Rarity of Fingerprints in Forensics
In Poster Session
Chang Su · Sargur N Srihari
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Minimum Average Cost Clustering
In Poster Session
Kiyohito Nagano · Yoshinobu Kawahara · Satoru Iwata
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Improvements to the Sequence Memoizer
In Poster Session
Jan Gasthaus · Yee Whye Teh
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics
In Poster Session
Kanaka Rajan · L F Abbott · Haim Sompolinsky
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Joint Cascade Optimization Using A Product Of Boosted Classifiers
In Poster Session
Leonidas Lefakis · François Fleuret
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Improving Human Judgments by Decontaminating Sequential Dependencies
In Poster Session
Michael Mozer · Harold Pashler · Matthew Wilder · Robert Lindsey · Matt Jones · Michael Jones
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Pose-Sensitive Embedding by Nonlinear NCA Regression
In Poster Session
Graham Taylor · Rob Fergus · George Williams · Ian Spiro · Christoph Bregler
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Multi-View Active Learning in the Non-Realizable Case
In Poster Session
Wei Wang · Zhi-Hua Zhou
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Subgraph Detection Using Eigenvector L1 Norms
In Poster Session
Benjamin A Miller · Nadya T Bliss · Patrick J Wolfe
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Link Discovery using Graph Feature Tracking
In Poster Session
Emile Richard · Nicolas Baskiotis · Theos Evgeniou · Nicolas Vayatis
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development
In Poster Session
Diane Hu · Laurens van der Maaten · Youngmin Cho · Lawrence Saul · Sorin Lerner
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Structured sparsity-inducing norms through submodular functions
In Poster Session
Francis Bach
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks
In Poster Session
Dirk Husmeier · Frank Dondelinger · Sophie Lebre
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A biologically plausible network for the computation of orientation dominance
In Poster Session
Kritika Muralidharan · Nuno Vasconcelos
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Movement extraction by detecting dynamics switches and repetitions
In Poster Session
Silvia Chiappa · Jan Peters
[ PDF] 
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
In Poster Session
Anand Singh · Renaud Jolivet · Pierre J Magistretti · Bruno Weber
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Copula Processes
In Poster Session
Andrew Wilson · Zoubin Ghahramani
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Unsupervised Kernel Dimension Reduction
In Poster Session
Meihong Wang · Fei Sha · Michael Jordan
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Global seismic monitoring as probabilistic inference
In Poster Session
Nimar Arora · Stuart J Russell · Paul Kidwell · Erik Sudderth
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Approximate Inference by Compilation to Arithmetic Circuits
In Poster Session
Daniel Lowd · Pedro Domingos
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Self-Paced Learning for Latent Variable Models
In Poster Session
M. Pawan Kumar · Benjamin D Packer · Daphne Koller
[ PDF] 
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
In Poster Session
Felipe Gerhard · Wulfram Gerstner
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
LSTD with Random Projections
In Poster Session
Mohammad Ghavamzadeh · Alessandro Lazaric · Odalric-Ambrym Maillard · Remi Munos
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Causal discovery in multiple models from different experiments
In Poster Session
Tom Claassen · Tom Heskes
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
In Poster Session
Prateek Jain · Sudheendra Vijayanarasimhan · Kristen Grauman
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Avoiding False Positive in Multi-Instance Learning
In Poster Session
Yanjun Han · Qing Tao · Jue Wang
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
The Neural Costs of Optimal Control
In Poster Session
Samuel J Gershman · Robert C Wilson
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Static Analysis of Binary Executables Using Structural SVMs
In Poster Session
Nikos Karampatziakis
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Semi-Supervised Learning with Adversarially Missing Label Information
In Poster Session
Umar Syed · Ben Taskar
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning Bounds for Importance Weighting
In Poster Session
Corinna Cortes · Yishay Mansour · Mehryar Mohri
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Practical Large-Scale Optimization for Max-norm Regularization
In Poster Session
Jason D Lee · Benjamin Recht · Russ Salakhutdinov · Nati Srebro · Joel A Tropp
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Large Margin Multi-Task Metric Learning
In Poster Session
Shibin Parameswaran · Kilian Q Weinberger
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Optimal learning rates for Kernel Conjugate Gradient regression
In Poster Session
Gilles Blanchard · Nicole Krämer
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Identifying Dendritic Processing
In Poster Session
Aurel A Lazar · Yevgeniy B Slutskiy
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations
In Poster Session
Danial Lashkari · Ramesh Sridharan · Polina Golland
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors
In Poster Session
Chiuso Alessandro c/o Dip. I Informazione · Gianluigi Pillonetto
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Gaussian Process Preference Elicitation
In Poster Session
Edwin Bonilla · Shengbo Guo · Scott Sanner
[ PDF] 
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
In Poster Session
Kaiming Li · Lei Guo · Carlos Faraco · Dajiang Zhu · Fan Deng · Tuo Zhang · Xi Jiang · Degang Zhang · Hanbo Chen · Xintao Hu · Steve Miller · tianming Liu
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Discriminative Clustering by Regularized Information Maximization
In Poster Session
Ryan G Gomes · Andreas Krause · Pietro Perona
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Inductive Regularized Learning of Kernel Functions
In Poster Session
Prateek Jain · Brian Kulis · Inderjit Dhillon
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Synergies in learning words and their referents
In Poster Session
Mark Johnson · Katherine Demuth · Michael C Frank · Bevan K Jones
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Attractor Dynamics with Synaptic Depression
In Poster Session
C. C. Alan Fung · K. Y. Michael Wong · He Wang · Si Wu
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Implicit Differentiation by Perturbation
In Poster Session
Justin Domke
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Lifted Inference Seen from the Other Side : The Tractable Features
In Poster Session
Abhay Jha · Vibhav Gogate · Alexandra Meliou · Dan Suciu
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Factorized Latent Spaces with Structured Sparsity
In Poster Session
Yangqing Jia · Mathieu Salzmann · Trevor Darrell
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning invariant features using the Transformed Indian Buffet Process
In Poster Session
Joseph L Austerweil · Tom Griffiths
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Efficient Minimization of Decomposable Submodular Functions
In Poster Session
Peter G Stobbe · Andreas Krause
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach
In Poster Session
Ning Chen · Jun Zhu · Eric Xing
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Worst-case bounds on the quality of max-product fixed-points
In Poster Session
Meritxell Vinyals · Jesús Cerquides · Alessandro Farinelli · Juan A Rodríguez-Aguilar
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
In Poster Session
Lauren A Hannah · Warren B Powell · David Blei
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Variable margin losses for classifier design
In Poster Session
Hamed Masnadi-Shirazi · Nuno Vasconcelos
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Joint Analysis of Time-Evolving Binary Matrices and Associated Documents
In Poster Session
Eric X Wang · Dehong Liu · Jorge G Silva · David B Dunson · Lawrence Carin
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
MAP estimation in Binary MRFs via Bipartite Multi-cuts
In Poster Session
Sashank Jakkam Reddi · Sunita Sarawagi · Sundar Vishwanathan
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction
In Poster Session
Tamir Hazan · Raquel Urtasun
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Probabilistic Multi-Task Feature Selection
In Poster Session
Yu Zhang · Dit-Yan Yeung · Qian Xu
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
(RF)^2 -- Random Forest Random Field
In Poster Session
Nadia C Payet · Sinisa Todorovic
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Improving the Asymptotic Performance of Markov Chain Monte-Carlo by Inserting Vortices
In Poster Session
Yi Sun · Faustino Gomez · Jürgen Schmidhuber
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Decomposing Isotonic Regression for Efficiently Solving Large Problems
In Poster Session
Ronny Luss · Saharon Rosset · Moni Shahar
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation
In Poster Session
Mathieu Salzmann · Raquel Urtasun
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Over-complete representations on recurrent neural networks can support persistent percepts
In Poster Session
Shaul Druckmann · Dmitri B Chklovskii
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform
In Poster Session
Siwei Lyu
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Random Projections for $k$-means Clustering
In Poster Session
Christos Boutsidis · Anastasios Zouzias · Petros Drineas
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Transduction with Matrix Completion: Three Birds with One Stone
In Poster Session
Andrew B Goldberg · Jerry Zhu · Benjamin Recht · Junming Sui · Rob Nowak
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Towards Holistic Scene Understanding: Feedback Enabled Cascaded Classification Models
In Poster Session
Congcong Li · Adarsh P Kowdle · Ashutosh Saxena · Tsuhan Chen
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach
In Poster Session
Alessandro Bergamo · Lorenzo Torresani
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Large-Scale Matrix Factorization with Missing Data under Additional Constraints
In Poster Session
Kaushik Mitra · Sameer Sheorey · Rama Chellappa
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Extended Bayesian Information Criteria for Gaussian Graphical Models
In Poster Session
Rina Foygel · Mathias Drton
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Permutation Complexity Bound on Out-Sample Error
In Poster Session
Malik Magdon-Ismail
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Tiled convolutional neural networks
In Poster Session
Quoc V. Le · Jiquan Ngiam · Zhenghao Chen · Daniel Jin hao Chia · Pang Wei Koh · Andrew Y Ng
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Gaussian sampling by local perturbations
In Poster Session
George Papandreou · Alan Yuille
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
A Dirty Model for Multi-task Learning
In Poster Session
Ali Jalali · Pradeep Ravikumar · Sujay Sanghavi · Chao Ruan
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning concept graphs from text with stick-breaking priors
In Poster Session
America Chambers · Padhraic Smyth · Mark Steyvers
[ PDF] 
Poster
Tue Dec 07 12:00 AM -- 12:00 AM (PST)
Learning the context of a category
In Poster Session
Daniel Navarro
[ PDF]