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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)
Empirical Bernstein Inequalities for U-Statistics
In Poster Session and Reception
Thomas Peel · Sandrine Anthoine · Liva Ralaivola
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Short-term memory in neuronal networks through dynamical compressed sensing
In Poster Session and Reception
Surya Ganguli · Haim Sompolinsky
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Double Q-learning
In Poster Session and Reception
Hado P van Hasselt
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Active Estimation of F-Measures
In Poster Session and Reception
Christoph Sawade · Niels Landwehr · Tobias Scheffer
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Functional form of motion priors in human motion perception
In Poster Session and Reception
HongJing Lu · Tungyou Lin · Alan L Lee · Luminita Vese · Alan L Yuille
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
MAP Estimation for Graphical Models by Likelihood Maximization
In Poster Session and Reception
Akshat Kumar · Shlomo Zilberstein
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A unified model of short-range and long-range motion perception
In Poster Session and Reception
Shuang Wu · Xuming He · HongJing Lu · Alan L Yuille
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Fast detection of multiple change-points shared by many signals using group LARS
In Poster Session and Reception
Jean-Philippe Vert · Kevin Bleakley
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Fast Large-scale Mixture Modeling with Component-specific Data Partitions
In Poster Session and Reception
Bo Thiesson · Chong Wang
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model
In Poster Session and Reception
Sebastian C Millner · Andreas Grübl · Karlheinz Meier · Johannes Schemmel · Marc-Olivier Schwartz
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Getting lost in space: Large sample analysis of the resistance distance
In Poster Session and Reception
Ulrike von Luxburg · Agnes Radl · Matthias Hein
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Heavy-Tailed Process Priors for Selective Shrinkage
In Poster Session and Reception
Fabian L Wauthier · Michael Jordan
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Parametric Bandits: The Generalized Linear Case
In Poster Session and Reception
Sarah Filippi · Olivier Cappé · Aurélien Garivier · Csaba Szepesvari
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A Computational Decision Theory for Interactive Assistants
In Poster Session and Reception
Alan Fern · Prasad Tadepalli
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Estimation of Renyi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs
In Poster Session and Reception
David Pal · Barnabas Poczos · Csaba Szepesvari
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
In Poster Session and Reception
Ling Huang · Jinzhu Jia · Bin Yu · Byung-Gon Chun · Petros Maniatis · Mayur Naik
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
The Maximal Causes of Natural Scenes are Edge Filters
In Poster Session and Reception
Jose G Puertas · Jörg Bornschein · Jörg Lücke
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings
In Poster Session and Reception
Hai-Son P Le · Ziv Bar-Joseph
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multiparty Differential Privacy via Aggregation of Locally Trained Classifiers
In Poster Session and Reception
Manas A Pathak · Shantanu Rane · Bhiksha Raj
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Probabilistic Belief Revision with Structural Constraints
In Poster Session and Reception
Peter B Jones · Venkatesh Saligrama · Sanjoy K Mitter
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Bootstrapping Apprenticeship Learning
In Poster Session and Reception
Abdeslam Boularias · Brahim Chaib-draa
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Random Conic Pursuit for Semidefinite Programming
In Poster Session and Reception
Ariel Kleiner · ali rahimi · Michael Jordan
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
In Poster Session and Reception
Li-Jia Li · Hao Su · Eric Xing · Li Fei-Fei
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
In Poster Session and Reception
Deqing Sun · Erik Sudderth · Michael J Black
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Two-Layer Generalization Analysis for Ranking Using Rademacher Average
In Poster Session and Reception
Wei Chen · Tie-Yan Liu · Zhi-Ming Ma
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Learning from Candidate Labeling Sets
In Poster Session and Reception
Roger Luo · Francesco Orabona
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Size Matters: Metric Visual Search Constraints from Monocular Metadata
In Poster Session and Reception
Mario J Fritz · Kate Saenko · Trevor Darrell
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Towards Property-Based Classification of Clustering Paradigms
In Poster Session and Reception
Margareta Ackerman · Shai Ben-David · David R Loker
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Parallelized Stochastic Gradient Descent
In Poster Session and Reception
Martin A Zinkevich · Markus Weimer · Alex Smola · Lihong Li
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Inference with Multivariate Heavy-Tails in Linear Models
In Poster Session and Reception
Danny Bickson · Carlos Guestrin
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A Bayesian Approach to Concept Drift
In Poster Session and Reception
Stephen H Bach · Mark Maloof
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Nonparametric Bayesian Policy Priors for Reinforcement Learning
In Poster Session and Reception
Finale P Doshi-Velez · David Wingate · Nicholas Roy · Josh Tenenbaum
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Occlusion Detection and Motion Estimation with Convex Optimization
In Poster Session and Reception
Alper Ayvaci · Michalis Raptis · Stefano Soatto
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sidestepping Intractable Inference with Structured Ensemble Cascades
In Poster Session and Reception
David J Weiss · Benjamin J Sapp · Ben Taskar
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Layer-wise analysis of deep networks with Gaussian kernels
In Poster Session and Reception
Grégoire Montavon · Mikio L Braun · Klaus-Robert Müller
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
An Approximate Inference Approach to Temporal Optimization in Optimal Control
In Poster Session and Reception
Konrad C Rawlik · Marc Toussaint · Sethu Vijayakumar
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Spectral Regularization for Support Estimation
In Poster Session and Reception
Ernesto De Vito · Lorenzo Rosasco · Alessandro Toigo
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Reverse Multi-Label Learning
In Poster Session and Reception
James Petterson · Tiberio Caetano
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Basis Construction from Power Series Expansions of Value Functions
In Poster Session and Reception
Sridhar Mahadevan · Bo Liu
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition
In Poster Session and Reception
Serhat S Bucak · Rong Jin · Anil K Jain
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Boosting Classifier Cascades
In Poster Session and Reception
Mohammad J Saberian · Nuno Vasconcelos
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference
In Poster Session and Reception
Aurelie Lozano · Vikas Sindhwani
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Repeated Games against Budgeted Adversaries
In Poster Session and Reception
Jacob D Abernethy · Manfred K. Warmuth
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Scrambled Objects for Least-Squares Regression
In Poster Session and Reception
Odalric-Ambrym Maillard · Remi Munos
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Mixture of time-warped trajectory models for movement decoding
In Poster Session and Reception
Elaine A Corbett · Eric J Perreault · Konrad Koerding
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Agnostic Active Learning Without Constraints
In Poster Session and Reception
Alina Beygelzimer · Daniel Hsu · John Langford · Tong Zhang
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Monte-Carlo Planning in Large POMDPs
In Poster Session and Reception
David Silver · Joel Veness
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
CUR from a Sparse Optimization Viewpoint
In Poster Session and Reception
Jacob Bien · Ya Xu · Michael W Mahoney
[ PDF] 
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
In Poster Session and Reception
Achintya Kundu · Vikram M Tankasali · Chiranjib Bhattacharyya · Aharon Ben-Tal
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Co-regularization Based Semi-supervised Domain Adaptation
In Poster Session and Reception
Hal Daumé III · Abhishek Kumar · Avishek Saha
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates
In Poster Session and Reception
Ken Takiyama · Masato Okada
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Structural epitome: a way to summarize one’s visual experience
In Poster Session and Reception
Nebojsa Jojic · Alessandro Perina · Vittorio Murino
[ PDF] 
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
In Poster Session and Reception
Luke Maurits · Daniel Navarro · Amy F Perfors
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Learning Kernels with Radiuses of Minimum Enclosing Balls
In Poster Session and Reception
Kun Gai · Guangyun Chen · Changshui Zhang
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multi-Stage Dantzig Selector
In Poster Session and Reception
Ji Liu · Peter Wonka · Jieping Ye
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Generative Local Metric Learning for Nearest Neighbor Classification
In Poster Session and Reception
Yung-Kyun Noh · Byoung-Tak Zhang · Daniel Lee
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Bayesian Action-Graph Games
In Poster Session and Reception
Albert Xin Jiang · Kevin Leyton-Brown
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
PAC-Bayesian Model Selection for Reinforcement Learning
In Poster Session and Reception
Mahdi Milani Fard · Joelle Pineau
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Spike timing-dependent plasticity as dynamic filter
In Poster Session and Reception
Joscha T Schmiedt · Christian Albers · Klaus R Pawelzik
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Energy Disaggregation via Discriminative Sparse Coding
In Poster Session and Reception
J. Zico Kolter · Siddarth Batra · Andrew Y Ng
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine
In Poster Session and Reception
George Dahl · Marc'Aurelio Ranzato · Abdel-rahman Mohamed · Geoffrey E Hinton
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Optimal Web-Scale Tiering as a Flow Problem
In Poster Session and Reception
Gilbert Leung · Novi Quadrianto · Alex Smola · Kostas Tsioutsiouliklis
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Empirical Risk Minimization with Approximations of Probabilistic Grammars
In Poster Session and Reception
Shay Cohen · Noah A Smith
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Gated Softmax Classification
In Poster Session and Reception
Roland Memisevic · Christopher Zach · Geoffrey E Hinton · Marc Pollefeys
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Decoding Ipsilateral Finger Movements from ECoG Signals in Humans
In Poster Session and Reception
Yuzong Liu · Mohit Sharma · Charles M Gaona · Jonathan D Breshears · jarod Roland · zachary V Freudenburg · Kilian Q Weinberger · Eric C Leuthardt
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Group Sparse Coding with a Laplacian Scale Mixture Prior
In Poster Session and Reception
Pierre J Garrigues · Bruno Olshausen
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Adaptive Multi-Task Lasso: with Application to eQTL Detection
In Poster Session and Reception
Seunghak Lee · Jun Zhu · Eric Xing
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Auto-Regressive HMM Inference with Incomplete Data for Short-Horizon Wind Forecasting
In Poster Session and Reception
Chris Barber · Joe Bockhorst · Paul Roebber
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sparse Inverse Covariance Selection via Alternating Linearization Methods
In Poster Session and Reception
Katya Scheinberg · Shiqian Ma · Donald Goldfarb
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Beyond Actions: Discriminative Models for Contextual Group Activities
In Poster Session and Reception
Tian Lan · Yang Wang · Weilong Yang · Greg Mori
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sufficient Conditions for Generating Group Level Sparsity in a Robust Minimax Framework
In Poster Session and Reception
Hongbo Zhou · Qiang Cheng
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Direct Loss Minimization for Structured Prediction
In Poster Session and Reception
David A McAllester · Tamir Hazan · Joseph Keshet
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Hallucinations in Charles Bonnet Syndrome Induced by Homeostasis: a Deep Boltzmann Machine Model
In Poster Session and Reception
David Reichert · Peggy Series · Amos Storkey
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
In Poster Session and Reception
Felix V Agakov · Paul McKeigue · Jon Krohn · Amos Storkey
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains
In Poster Session and Reception
Martha White · Adam M White
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Multitask Learning without Label Correspondences
In Poster Session and Reception
Novi Quadrianto · Alex Smola · Tiberio Caetano · S.V.N. Vishwanathan · James Petterson
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Reward Design via Online Gradient Ascent
In Poster Session and Reception
Jonathan D Sorg · Satinder Singh · Richard L Lewis
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
A New Probabilistic Model for Rank Aggregation
In Poster Session and Reception
Tao Qin · Xiubo Geng · Tie-Yan Liu
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
An Alternative to Low-level-Sychrony-Based Methods for Speech Detection
In Poster Session and Reception
Paul L Ruvolo · javier r movellan
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Deterministic Single-Pass Algorithm for LDA
In Poster Session and Reception
Issei Sato · Kenichi Kurihara · Hiroshi Nakagawa
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Non-Stochastic Bandit Slate Problems
In Poster Session and Reception
Satyen Kale · Lev Reyzin · Robert E Schapire
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Convex Multiple-Instance Learning by Estimating Likelihood Ratio
In Poster Session and Reception
Fuxin Li · Cristian Sminchisescu
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Efficient Relational Learning with Hidden Variable Detection
In Poster Session and Reception
Ni Lao · Jun Zhu · Liu Xinwang · Yandong Liu · William Cohen
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
On the Theory of Learnining with Privileged Information
In Poster Session and Reception
Dmitry Pechyony · Vladimir Vapnik
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Regularized estimation of image statistics by Score Matching
In Poster Session and Reception
Diederik Kingma · Yann LeCun
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning
In Poster Session and Reception
Matthias Broecheler · Lise Getoor
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
b-Bit Minwise Hashing for Estimating Three-Way Similarities
In Poster Session and Reception
Ping Li · Arnd C König · Wenhao Gui
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Generalized roof duality and bisubmodular functions
In Poster Session and Reception
Vladimir Kolmogorov
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models
In Poster Session and Reception
Han Liu · Kathryn Roeder · Larry Wasserman
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Batch Bayesian Optimization via Simulation Matching
In Poster Session and Reception
Javad Azimi · Alan Fern · Xiaoli Fern
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Error Propagation for Approximate Policy and Value Iteration
In Poster Session and Reception
Amir-massoud Farahmand · Remi Munos · Csaba Szepesvari
[ PDF] 
Poster
Mon Dec 06 12:00 AM -- 12:00 AM (PST)
Predictive State Temporal Difference Learning
In Poster Session and Reception
Byron Boots · Geoffrey Gordon
[ PDF] 
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
Peter Bühlmann
Tutorial
Mon Dec 06 09:30 AM -- 11:30 AM (PST)
Reinforcement Learning for Embodied Cognition
Dana Ballard
Tutorial
Mon Dec 06 01:00 PM -- 03:00 PM (PST) @ Regency D
Reinforcement Learning in Humans and Other Animals
Nathaniel D Daw
Tutorial
Mon Dec 06 01:00 PM -- 03:00 PM (PST) @ Regency E/F
Optimization Algorithms in Machine Learning
Stephen Wright
Tutorial
Mon Dec 06 03:30 PM -- 05:30 PM (PST) @ Regency E/F
Latent Factor Models for Relational Arrays and Network Data
Peter Hoff
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
Stefano Soatto
Talk
Mon Dec 06 06:15 PM -- 06:30 PM (PST) @ Regency Ballroom
Opening Remarks and Awards
Richard Zemel · Terrence Sejnowski · John Shawe-Taylor
Session
Mon Dec 06 06:30 PM -- 06:55 PM (PST)
Spotlights Session 1
Jerry Zhu
Spotlight
Mon Dec 06 06:30 PM -- 06:35 PM (PST) @ Regency Ballroom
Learning from Candidate Labeling Sets
In Spotlights Session 1
Roger Luo · Francesco Orabona
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
In Spotlights Session 1
Luke Maurits · Daniel Navarro · Amy F Perfors
Spotlight
Mon Dec 06 06:40 PM -- 06:45 PM (PST) @ Regency Ballroom
Layered image motion with explicit occlusions, temporal consistency, and depth ordering
In Spotlights Session 1
Deqing Sun · Erik Sudderth · Michael J Black
Spotlight
Mon Dec 06 06:45 PM -- 06:50 PM (PST) @ Regency Ballroom
b-Bit Minwise Hashing for Estimating Three-Way Similarities
In Spotlights Session 1
Ping Li · Arnd C König · Wenhao Gui
Spotlight
Mon Dec 06 06:50 PM -- 06:55 PM (PST) @ Regency Ballroom
Getting lost in space: Large sample analysis of the resistance distance
In Spotlights Session 1
Ulrike von Luxburg · Agnes Radl · Matthias Hein
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)
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)
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)
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)
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)
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)
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)
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)
Structured sparsity-inducing norms through submodular functions
In Poster Session
Francis Bach
[ 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)
Probabilistic Inference and Differential Privacy
In Poster Session
Oliver Williams · Frank McSherry
[ 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 · Deb Ray
[ 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)
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)
Copula Processes
In Poster Session
Andrew Wilson · Zoubin Ghahramani
[ 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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Learning invariant features using the Transformed Indian Buffet Process
In Poster Session
Joe L Austerweil · Tom Griffiths
[ 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)
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)
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)
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)
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)
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)
Gaussian sampling by local perturbations
In Poster Session
George Papandreou · Alan L Yuille
[ 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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Improving Human Judgments by Decontaminating Sequential Dependencies
In Poster Session
Mike Mozer · Harold Pashler · Matthew Wilder · Robert Lindsey · Matt Jones · Michael Jones
[ 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)
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)
Learning the context of a category
In Poster Session
Daniel Navarro
[ 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)
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)
(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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Global seismic monitoring as probabilistic inference
In Poster Session
Nim 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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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 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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
Implicit Differentiation by Perturbation
In Poster Session
Justin Domke
[ 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)
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)
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)
A Theory of Multiclass Boosting
In Poster Session
Indraneel Mukherjee · Robert E Schapire
[ PDF] 
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?
In Oral Session 1
Antonio Rangel
Session
Tue Dec 07 08:30 AM -- 09:40 AM (PST)
Oral Session 1
Bill Triggs
Oral
Tue Dec 07 09:20 AM -- 09:40 AM (PST) @ Regency Ballroom
Over-complete representations on recurrent neural networks can support persistent percepts
In Oral Session 1
Shaul Druckmann · Dmitri B Chklovskii
Session
Tue Dec 07 09:40 AM -- 10:00 AM (PST)
Spotlights Session 2
Bill Triggs
Spotlight
Tue Dec 07 09:40 AM -- 09:45 AM (PST) @ Regency Ballroom
Improving Human Judgments by Decontaminating Sequential Dependencies
In Spotlights Session 2
Mike Mozer · Harold Pashler · Matthew Wilder · Robert Lindsey · Matt Jones · Michael Jones
Spotlight
Tue Dec 07 09:45 AM -- 09:50 AM (PST) @ Regency Ballroom
Learning to localise sounds with spiking neural networks
In Spotlights Session 2
Dan F Goodman · Romain Brette
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
In Spotlights Session 2
Sylvain Chevallier · Helene Paugam-Moisy · Michele Sebag
Spotlight
Tue Dec 07 09:55 AM -- 10:00 AM (PST) @ Regency Ballroom
Attractor Dynamics with Synaptic Depression
In Spotlights Session 2
C. C. Alan Fung · K. Y. Michael Wong · He Wang · Si Wu
Oral
Tue Dec 07 10:00 AM -- 10:20 AM (PST) @ Regency Ballroom
A rational decision making framework for inhibitory control
In Oral Session 2
Pradeep Shenoy · Rajesh PN Rao · Angela Yu
Session
Tue Dec 07 10:00 AM -- 10:20 AM (PST)
Oral Session 2
Wee Sun Lee
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
In Oral Session 3
Indraneel Mukherjee · Robert E Schapire
Session
Tue Dec 07 10:50 AM -- 11:10 AM (PST)
Oral Session 3
Ben Taskar
Session
Tue Dec 07 11:10 AM -- 11:30 AM (PST)
Spotlights Session 3
Ben Taskar
Spotlight
Tue Dec 07 11:10 AM -- 11:15 AM (PST) @ Regency Ballroom
Copula Processes
In Spotlights Session 3
Andrew Wilson · Zoubin Ghahramani
Spotlight
Tue Dec 07 11:15 AM -- 11:20 AM (PST) @ Regency Ballroom
A biologically plausible network for the computation of orientation dominance
In Spotlights Session 3
Kritika Muralidharan · Nuno Vasconcelos
Spotlight
Tue Dec 07 11:20 AM -- 11:25 AM (PST) @ Regency Ballroom
Learning Convolutional Feature Hierarchies for Visual Recognition
In Spotlights Session 3
koray kavukcuoglu · Pierre Sermanet · Y-Lan Boureau · Karol Gregor · Michael Mathieu · Yann LeCun
Spotlight
Tue Dec 07 11:25 AM -- 11:30 AM (PST) @ Regency Ballroom
LSTD with Random Projections
In Spotlights Session 3
Mohammad Ghavamzadeh · Alessandro Lazaric · Odalric-Ambrym Maillard · Remi Munos
Oral
Tue Dec 07 11:30 AM -- 11:50 AM (PST) @ Regency Ballroom
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
In Oral Session 4
Sasha Rakhlin · Karthik Sridharan · Ambuj Tewari
Session
Tue Dec 07 11:30 AM -- 11:50 AM (PST)
Oral Session 4
Ofer Dekel
Session
Tue Dec 07 11:50 AM -- 12:10 PM (PST)
Spotlights Session 4
Ofer Dekel
Spotlight
Tue Dec 07 11:50 AM -- 11:55 AM (PST) @ Regency Ballroom
Kernel Descriptors for Visual Recognition
In Spotlights Session 4
Liefeng Bo · Xiaofeng Ren · Dieter Fox
Spotlight
Tue Dec 07 11:55 AM -- 12:00 PM (PST) @ Regency Ballroom
Minimum Average Cost Clustering
In Spotlights Session 4
Kiyohito Nagano · Yoshinobu Kawahara · Satoru Iwata
Spotlight
Tue Dec 07 12:00 PM -- 12:05 PM (PST) @ Regency Ballroom
Identifying Dendritic Processing
In Spotlights Session 4
Aurel A Lazar · Yevgeniy B Slutskiy
Spotlight
Tue Dec 07 12:05 PM -- 12:10 PM (PST) @ Regency Ballroom
Probabilistic Inference and Differential Privacy
In Spotlights Session 4
Oliver Williams · Frank McSherry
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)
In Oral Session 5
Xiao-Li Meng
Session
Tue Dec 07 02:00 PM -- 03:10 PM (PST)
Oral Session 5
Iain Murray
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
In Oral Session 5
Alekh Agarwal · Sahand N Negahban · Martin J Wainwright
Session
Tue Dec 07 03:10 PM -- 03:30 PM (PST)
Spotlights Session 5
Iain Murray
Spotlight
Tue Dec 07 03:10 PM -- 03:15 PM (PST) @ Regency Ballroom
Trading off Mistakes and Don't-Know Predictions
In Spotlights Session 5
Amin Sayedi · Avrim Blum · Morteza Zadimoghaddam
Spotlight
Tue Dec 07 03:15 PM -- 03:20 PM (PST) @ Regency Ballroom
Exact learning curves for Gaussian process regression on large random graphs
In Spotlights Session 5
Matthew J Urry · Peter Sollich
Spotlight
Tue Dec 07 03:20 PM -- 03:25 PM (PST) @ Regency Ballroom
Synergies in learning words and their referents
In Spotlights Session 5
Mark Johnson · Katherine Demuth · Michael C Frank · Bevan K Jones
Spotlight
Tue Dec 07 03:25 PM -- 03:30 PM (PST) @ Regency Ballroom
Learning concept graphs from text with stick-breaking priors
In Spotlights Session 5
America Chambers · Padhraic Smyth · Mark Steyvers
Oral
Tue Dec 07 03:30 PM -- 03:50 PM (PST) @ Regency Ballroom
Structured sparsity-inducing norms through submodular functions
In Oral Session 6
Francis Bach
Session
Tue Dec 07 03:30 PM -- 03:50 PM (PST)
Oral Session 6
Matthias Seeger
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
In Oral Session 7
Umar Syed · Ben Taskar
Session
Tue Dec 07 04:20 PM -- 05:00 PM (PST)
Oral Session 7
Raquel Urtasun
Oral
Tue Dec 07 04:40 PM -- 05:00 PM (PST) @ Regency Ballroom
MAP estimation in Binary MRFs via Bipartite Multi-cuts
In Oral Session 7
Sashank Jakkam Reddi · Sunita Sarawagi · Sundar Vishwanathan
Session
Tue Dec 07 05:00 PM -- 05:20 PM (PST)
Spotlights Session 6
Raquel Urtasun
Spotlight
Tue Dec 07 05:00 PM -- 05:05 PM (PST) @ Regency Ballroom
Efficient Minimization of Decomposable Submodular Functions
In Spotlights Session 6
Peter G Stobbe · Andreas Krause
Spotlight
Tue Dec 07 05:05 PM -- 05:10 PM (PST) @ Regency Ballroom
Worst-case bounds on the quality of max-product fixed-points
In Spotlights Session 6
Meritxell Vinyals · Jesús Cerquides · Alessandro Farinelli · Juan A Rodríguez-Aguilar
Spotlight
Tue Dec 07 05:10 PM -- 05:15 PM (PST) @ Regency Ballroom
Learning To Count Objects in Images
In Spotlights Session 6
Victor Lempitsky · Andrew Zisserman
Spotlight
Tue Dec 07 05:15 PM -- 05:20 PM (PST) @ Regency Ballroom
Learning invariant features using the Transformed Indian Buffet Process
In Spotlights Session 6
Joe L Austerweil · Tom Griffiths
Oral
Tue Dec 07 05:20 PM -- 05:40 PM (PST) @ Regency Ballroom
A Dirty Model for Multi-task Learning
In Oral Session 8
Ali Jalali · Pradeep Ravikumar · Sujay Sanghavi · Chao Ruan
Session
Tue Dec 07 05:20 PM -- 05:40 PM (PST)
Oral Session 8
Rich Caruana
Session
Tue Dec 07 05:40 PM -- 06:00 PM (PST)
Spotlights Session 7
Rich Caruana
Spotlight
Tue Dec 07 05:40 PM -- 05:45 PM (PST) @ Regency Ballroom
Multiple Kernel Learning and the SMO Algorithm
In Spotlights Session 7
S.V.N. Vishwanathan · Zhaonan sun · Nawanol T Ampornpunt · Manik Varma
Spotlight
Tue Dec 07 05:45 PM -- 05:50 PM (PST) @ Regency Ballroom
Variational Inference over Combinatorial Spaces
In Spotlights Session 7
Alexandre Bouchard-Côté · Michael Jordan
Spotlight
Tue Dec 07 05:50 PM -- 05:55 PM (PST) @ Regency Ballroom
Inductive Regularized Learning of Kernel Functions
In Spotlights Session 7
Prateek Jain · Brian Kulis · Inderjit Dhillon
Spotlight
Tue Dec 07 05:55 PM -- 06:00 PM (PST) @ Regency Ballroom
Probabilistic Deterministic Infinite Automata
In Spotlights Session 7
David Pfau · Nicholas Bartlett · Frank Wood
Session
Tue Dec 07 07:00 PM -- 11:59 PM (PST)
Poster Session
Demonstration
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
mldata.org - machine learning data and benchmark
In Demonstrations
Cheng Soon Ong
Demonstration
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
Haptic Information Presentation Through Vibro Tactile
In Demonstrations
Manoj A Prasad
Demonstration
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
MetaOptimize: A Q+A site for machine learning
In Demonstrations
Joseph Turian
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
In Demonstrations
Yann LeCun
Demonstration
Tue Dec 07 07:30 PM -- 11:59 PM (PST) @ Georgia A
Project Emporia: News Recommendation using Graphical Models
In Demonstrations
Jurgen Van Gael
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
In Demonstrations
Dmitry Chichkov
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)
Policy gradients in linearly-solvable MDPs
In Poster Session
Emanuel Todorov
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Classification with Specificity Constraints
In Poster Session
Andrey Bernstein · Shie Mannor · Nahum Shimkin
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake
In Poster Session
Stefan Harmeling · Michael Hirsch · Bernhard Schölkopf
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Random Projection Trees Revisited
In Poster Session
Aman Dhesi · Puru Kar
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Tree-Structured Stick Breaking for Hierarchical Data
In Poster Session
Ryan Adams · Zoubin Ghahramani · Michael Jordan
[ 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
In Poster Session
Matthias Hein · Thomas Bühler
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization
In Poster Session
Feiping Nie · Heng Huang · Xiao Cai · Chris Ding
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Active Instance Sampling via Matrix Partition
In Poster Session
Yuhong Guo
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Graph-Valued Regression
In Poster Session
Han Liu · Xi Chen · John Lafferty · Larry Wasserman
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Novel Kernel for Learning a Neuron Model from Spike Train Data
In Poster Session
Nicholas K Fisher · Arunava Banerjee
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups
In Poster Session
Sofia Mosci · Silvia Villa · Alessandro Verri · Lorenzo Rosasco
[ 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
In Poster Session
Russ Salakhutdinov · Nati Srebro
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
The LASSO risk: asymptotic results and real world examples
In Poster Session
Mohsen Bayati · José Bento · Andrea Montanari
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Copula Bayesian Networks
In Poster Session
Gal Elidan
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Fractionally Predictive Spiking Neurons
In Poster Session
Sander M Bohte · Jaldert Rombouts
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Sample Complexity of Testing the Manifold Hypothesis
In Poster Session
Hariharan Narayanan · Sanjoy K Mitter
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Lower Bounds on Rate of Convergence of Cutting Plane Methods
In Poster Session
Xinhua Zhang · Ankan Saha · S.V.N. Vishwanathan
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Construction of Dependent Dirichlet Processes based on Poisson Processes
In Poster Session
Dahua Lin · Eric Grimson · John Fisher III
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Linear readout from a neural population with partial correlation data
In Poster Session
Adrien Wohrer · Ranulfo Romo · Christian K Machens
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Active Learning by Querying Informative and Representative Examples
In Poster Session
Sheng-Jun Huang · Rong Jin · Zhi-Hua Zhou
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Efficient Markov Networks
In Poster Session
Vibhav Gogate · William A Webb · Pedro Domingos
[ 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
In Poster Session
Yi-Da Wu · Shi-Jie Lin · Hsin Chen
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Throttling Poisson Processes
In Poster Session
Uwe Dick · Peter Haider · Thomas Vanck · Michael Brückner · Tobias Scheffer
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Learning for Latent Dirichlet Allocation
In Poster Session
Matthew D. Hoffman · David Blei · Francis Bach
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Multiple Tasks using Manifold Regularization
In Poster Session
Arvind Agarwal · Hal Daumé III · Samuel Gerber
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
New Adaptive Algorithms for Online Classification
In Poster Session
Francesco Orabona · Yacov Crammer
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Simultaneous Object Detection and Ranking with Weak Supervision
In Poster Session
Matthew B Blaschko · Andrea Vedaldi · Andrew Zisserman
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Estimating Spatial Layout of Rooms using Volumetric Reasoning about Objects and Surfaces
In Poster Session
David C Lee · Abhinav Gupta · Martial Hebert · Takeo Kanade
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication
In Poster Session
Guy D Isely · Chris J Hillar · Fritz Sommer
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Label Embedding Trees for Large Multi-Class Tasks
In Poster Session
Samy Bengio · Jason E Weston · David Grangier
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Using body-anchored priors for identifying actions in single images
In Poster Session
Leonid Karlinsky · Michael Dinerstein · Shimon Ullman
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
On Herding and the Perceptron Cycling Theorem
In Poster Session
Andrew E Gelfand · Yutian Chen · Laurens van der Maaten · Max Welling
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Effects of Synaptic Weight Diffusion on Learning in Decision Making Networks
In Poster Session
Kentaro Katahira · Kazuo Okanoya · Masato Okada
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Rates of convergence for the cluster tree
In Poster Session
Kamalika Chaudhuri · Sanjoy Dasgupta
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Robust Clustering as Ensembles of Affinity Relations
In Poster Session
Hairong Liu · Longin Jan J Latecki · shuicheng yan
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A POMDP Extension with Belief-dependent Rewards
In Poster Session
Mauricio A Araya · Olivier Buffet · Vincent Thomas · François Charpillet
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Generating more realistic images using gated MRF's
In Poster Session
Marc'Aurelio Ranzato · Volodymyr Mnih · Geoffrey E Hinton
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Worst-Case Linear Discriminant Analysis
In Poster Session
Yu Zhang · Dit-Yan Yeung
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Switched Latent Force Models for Movement Segmentation
In Poster Session
Mauricio A Alvarez · Jan Peters · Bernhard Schölkopf · Neil D Lawrence
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
On the Convexity of Latent Social Network Inference
In Poster Session
Seth A Myers · Jure Leskovec
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Efficient Optimization for Discriminative Latent Class Models
In Poster Session
Armand Joulin · Francis Bach · Jean A Ponce
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Learning in The Manifold of Low-Rank Matrices
In Poster Session
Uri Shalit · Daphna Weinshall · Gal Chechik
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning to combine foveal glimpses with a third-order Boltzmann machine
In Poster Session
Hugo Larochelle · Geoffrey E Hinton
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
t-logistic regression
In Poster Session
Nan Ding · S.V.N. Vishwanathan
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Slice sampling covariance hyperparameters of latent Gaussian models
In Poster Session
Iain Murray · Ryan Adams
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
More data means less inference: A pseudo-max approach to structured learning
In Poster Session
David Sontag · Ofer Meshi · Tommi Jaakkola · Amir Globerson
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Phoneme Recognition with Large Hierarchical Reservoirs
In Poster Session
Fabian Triefenbach · Azarakhsh Jalalvand · Benjamin Schrauwen · Jean-Pierre Martens
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A novel family of non-parametric cumulative based divergences for point processes
In Poster Session
Sohan Seth · Il Memming Park · Austin J Brockmeier · Mulugeta Semework · John S Choi · Joseph T Francis · Jose C Principe
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Family of Penalty Functions for Structured Sparsity
In Poster Session
Charles A Micchelli · Jean M Morales · Massimiliano Pontil
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
The Multidimensional Wisdom of Crowds
In Poster Session
Peter Welinder · Steve Branson · Serge Belongie · Pietro Perona
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Evidence-Specific Structures for Rich Tractable CRFs
In Poster Session
Anton Chechetka · Carlos Guestrin
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Exact inference and learning for cumulative distribution functions on loopy graphs
In Poster Session
Jim C Huang · Nebojsa Jojic · Christopher Meek
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Feature Transitions with Saccadic Search: Size, Color, and Orientation Are Not Alike
In Poster Session
Stella X Yu
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Distributionally Robust Markov Decision Processes
In Poster Session
Huan Xu · Shie Mannor
[ 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
In Poster Session
Ryan C Kelly · Matthew A Smith · Rob E Robert · Tai Sing Lee
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Discriminative Latent Model of Image Region and Object Tag Correspondence
In Poster Session
Yang Wang · Greg Mori
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Brain covariance selection: better individual functional connectivity models using population prior
In Poster Session
Gaël Varoquaux · Alex Gramfort · Jean-Baptiste Poline · Bertrand Thirion
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Moreau-Yosida Regularization for Grouped Tree Structure Learning
In Poster Session
Jun Liu · Jieping Ye
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Distributed Dual Averaging In Networks
In Poster Session
John Duchi · Alekh Agarwal · Martin J Wainwright
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning via Gaussian Herding
In Poster Session
Yacov Crammer · Daniel Lee
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Epitome driven 3-D Diffusion Tensor image segmentation: on extracting specific structures
In Poster Session
Kamiya Motwani · Nagesh Adluru · Chris Hinrichs · andrew L Alexander · Vikas Singh
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Identifying graph-structured activation patterns in networks
In Poster Session
James L Sharpnack · Aarti Singh
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks
In Poster Session
Ali Shojaie · George Michailidis
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI
In Poster Session
Morten Mørup · Kristoffer H Madsen · Anne-Marie Dogonowski · hartwig R Siebner · Lars K Hansen
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Universal Kernels on Non-Standard Input Spaces
In Poster Session
Andreas Christmann · Ingo Steinwart
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Implicit encoding of prior probabilities in optimal neural populations
In Poster Session
Deep Ganguli · Eero Simoncelli
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient
In Poster Session
Jie Tang · Pieter Abbeel
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Feature Set Embedding for Incomplete Data
In Poster Session
David Grangier · Iain Melvin
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Extensions of Generalized Binary Search to Group Identification and Exponential Costs
In Poster Session
Gowtham Bellala · Suresh Bhavnani · Clay Scott
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Word Features for Latent Dirichlet Allocation
In Poster Session
James Petterson · Alex Smola · Tiberio Caetano · Wray L Buntine · Shravan M Narayanamurthy
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Supervised Clustering
In Poster Session
Pranjal Awasthi · Reza Zadeh
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Multivariate Dyadic Regression Trees for Sparse Learning Problems
In Poster Session
Han Liu · Xi Chen
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives
In Poster Session
Taehwan Kim · Greg Shakhnarovich · Raquel Urtasun
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Large Margin Learning of Upstream Scene Understanding Models
In Poster Session
Jun Zhu · Li-Jia Li · Li Fei-Fei · Eric Xing
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch
In Poster Session
Zeeshan Syed · John Guttag
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Tight Sample Complexity of Large-Margin Learning
In Poster Session
Sivan Sabato · Nati Srebro · Naftali Tishby
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Feature Construction for Inverse Reinforcement Learning
In Poster Session
Sergey Levine · Zoran Popovic · Vladlen Koltun
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Humans Learn Using Manifolds, Reluctantly
In Poster Session
Bryan R Gibson · Jerry Zhu · Timothy T Rogers · Chuck Kalish · Joseph Harrison
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Universal Consistency of Multi-Class Support Vector Classification
In Poster Session
Tobias Glasmachers
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Networks of Stochastic Differential Equations
In Poster Session
José Bento · Morteza Ibrahimi · Andrea Montanari
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
A Reduction from Apprenticeship Learning to Classification
In Poster Session
Umar Syed · Robert E Schapire
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Structured Determinantal Point Processes
In Poster Session
Alex Kulesza · Ben Taskar
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Probabilistic latent variable models for distinguishing between cause and effect
In Poster Session
Joris M Mooij · Oliver Stegle · Dominik Janzing · Kun Zhang · Bernhard Schölkopf
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Approximate inference in continuous time Gaussian-Jump processes
In Poster Session
Manfred Opper · Andreas Ruttor · Guido Sanguinetti
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Functional Geometry Alignment and Localization of Brain Areas
In Poster Session
Georg Langs · Yanmei Tie · Laura Rigolo · Alexandra Golby · Polina Golland
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Segmentation as Maximum-Weight Independent Set
In Poster Session
william brendel · Sinisa Todorovic
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Guaranteed Rank Minimization via Singular Value Projection
In Poster Session
Prateek Jain · Raghu Meka · Inderjit Dhillon
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Global Analytic Solution for Variational Bayesian Matrix Factorization
In Poster Session
Shinichi Nakajima · Masashi Sugiyama · Ryota Tomioka
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning from Logged Implicit Exploration Data
In Poster Session
Alexander L Strehl · John Langford · Lihong Li · Sham M Kakade
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Sphere Embedding: An Application to Part-of-Speech Induction
In Poster Session
Yariv Maron · Michael T Lamar · Elie L Bienenstock
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Shadow Dirichlet for Restricted Probability Modeling
In Poster Session
Bela A Frigyik · Maya R Gupta · Yihua Chen
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Variational bounds for mixed-data factor analysis
In Poster Session
Emtiyaz Khan · Benjamin Marlin · Guillaume Bouchard · Kevin Murphy
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
In Poster Session
Paolo Viappiani · Craig E Boutilier
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Online Markov Decision Processes under Bandit Feedback
In Poster Session
Gergely Neu · András György · Csaba Szepesvari · András Antos
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Natural Policy Gradient Methods with Parameter-based Exploration for Control Tasks
In Poster Session
Atsushi Miyamae · Yuichi Nagata · Isao Ono · Shigenobu Kobayashi
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Spatial and anatomical regularization of SVM for brain image analysis
In Poster Session
Remi Cuingnet · Marie Chupin · Habib Benali · Olivier Colliot
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Random Walk Approach to Regret Minimization
In Poster Session
Hariharan Narayanan · Sasha Rakhlin
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Linear Complementarity for Regularized Policy Evaluation and Improvement
In Poster Session
Jeff Johns · Christopher Painter-Wakefield · Ron Parr
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
In Poster Session
Yi Zhang · Jeff Schneider
[ PDF] 
Poster
Wed Dec 08 12:00 AM -- 12:00 AM (PST)
Dynamic Infinite Relational Model for Time-varying Relational Data Analysis
In Poster Session
Katsuhiko Ishiguro · Tomoharu Iwata · Naonori Ueda · Josh Tenenbaum
[ 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 -- 09:00 AM (PST) @ Regency A
Breakfast
Placeholder
Wed Dec 08 08:00 AM -- 06:00 PM (PST) @ Oxford Room
Internet Cafe
Invited Talk
Wed Dec 08 08:30 AM -- 09:20 AM (PST) @ Regency Ballroom
The Interplay of Machine Learning and Mechanism Design
In Oral Session 9
David Parkes
Session
Wed Dec 08 08:30 AM -- 09:40 AM (PST)
Oral Session 9
Pascal Poupart
Oral
Wed Dec 08 09:20 AM -- 09:40 AM (PST) @ Regency Ballroom
Linear Complementarity for Regularized Policy Evaluation and Improvement
In Oral Session 9
Jeff Johns · Christopher Painter-Wakefield · Ron Parr
Session
Wed Dec 08 09:40 AM -- 10:00 AM (PST)
Spotlights Session 8
Pascal Poupart
Spotlight
Wed Dec 08 09:40 AM -- 09:45 AM (PST) @ Regency Ballroom
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
In Spotlights Session 8
Paolo Viappiani · Craig E Boutilier
Spotlight
Wed Dec 08 09:45 AM -- 09:50 AM (PST) @ Regency Ballroom
Online Classification with Specificity Constraints
In Spotlights Session 8
Andrey Bernstein · Shie Mannor · Nahum Shimkin
Spotlight
Wed Dec 08 09:50 AM -- 09:55 AM (PST) @ Regency Ballroom
Exact inference and learning for cumulative distribution functions on loopy graphs
In Spotlights Session 8
Jim C Huang · Nebojsa Jojic · Christopher Meek
Spotlight
Wed Dec 08 09:55 AM -- 10:00 AM (PST) @ Regency Ballroom
Global Analytic Solution for Variational Bayesian Matrix Factorization
In Spotlights Session 8
Shinichi Nakajima · Masashi Sugiyama · Ryota Tomioka
Oral
Wed Dec 08 10:00 AM -- 10:20 AM (PST) @ Regency Ballroom
The Multidimensional Wisdom of Crowds
In Oral Session 10
Peter Welinder · Steve Branson · Serge Belongie · Pietro Perona
Session
Wed Dec 08 10:00 AM -- 10:20 AM (PST)
Oral Session 10
Li Fei-Fei
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
In Oral Session 11
Dahua Lin · Eric Grimson · John Fisher III
Session
Wed Dec 08 10:50 AM -- 11:10 AM (PST)
Oral Session 11
Katherine Heller
Session
Wed Dec 08 11:10 AM -- 11:30 AM (PST)
Spotlights Session 9
Katherine Heller
Spotlight
Wed Dec 08 11:10 AM -- 11:15 AM (PST) @ Regency Ballroom
Throttling Poisson Processes
In Spotlights Session 9
Uwe Dick · Peter Haider · Tobias Scheffer
Spotlight
Wed Dec 08 11:15 AM -- 11:20 AM (PST) @ Regency Ballroom
Graph-Valued Regression
In Spotlights Session 9
Han Liu · Xi Chen · John Lafferty · Larry Wasserman
Spotlight
Wed Dec 08 11:20 AM -- 11:25 AM (PST) @ Regency Ballroom
Switched Latent Force Models for Movement Segmentation
In Spotlights Session 9
Mauricio A Alvarez · Jan Peters · Bernhard Schölkopf · Neil D Lawrence
Spotlight
Wed Dec 08 11:25 AM -- 11:30 AM (PST) @ Regency Ballroom
Online Markov Decision Processes under Bandit Feedback
In Spotlights Session 9
Gergely Neu · András György · András Antos · Csaba Szepesvari
Oral
Wed Dec 08 11:30 AM -- 11:50 AM (PST) @ Regency Ballroom
Slice sampling covariance hyperparameters of latent Gaussian models
In Oral Session 12
Iain Murray · Ryan Adams
Session
Wed Dec 08 11:30 AM -- 11:50 AM (PST)
Oral Session 12
Nando de Freitas
Session
Wed Dec 08 11:50 AM -- 12:10 PM (PST)
Spotlights Session 10
Nando de Freitas
Spotlight
Wed Dec 08 11:50 AM -- 11:55 AM (PST) @ Regency Ballroom
Distributed Dual Averaging In Networks
In Spotlights Session 10
John Duchi · Alekh Agarwal · Martin J Wainwright
Spotlight
Wed Dec 08 11:55 AM -- 12:00 PM (PST) @ Regency Ballroom
A Family of Penalty Functions for Structured Sparsity
In Spotlights Session 10
Charles A Micchelli · Jean M Morales · Massimiliano Pontil
Spotlight
Wed Dec 08 12:00 PM -- 12:05 PM (PST) @ Regency Ballroom
Guaranteed Rank Minimization via Singular Value Projection
In Spotlights Session 10
Prateek Jain · Raghu Meka · Inderjit Dhillon
Spotlight
Wed Dec 08 12:05 PM -- 12:10 PM (PST) @ Regency Ballroom
Online Learning for Latent Dirichlet Allocation
In Spotlights Session 10
Matthew D. Hoffman · David Blei · Francis Bach
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
In Oral Session 13
Michael Jordan
Session
Wed Dec 08 02:00 PM -- 03:10 PM (PST)
Oral Session 13
Nati Srebro
Oral
Wed Dec 08 02:50 PM -- 03:10 PM (PST) @ Regency Ballroom
Tree-Structured Stick Breaking for Hierarchical Data
In Oral Session 13
Ryan Adams · Zoubin Ghahramani · Michael Jordan
Session
Wed Dec 08 03:10 PM -- 03:30 PM (PST)
Spotlights Session 11
Nati Srebro
Spotlight
Wed Dec 08 03:10 PM -- 03:15 PM (PST) @ Regency Ballroom
Structured Determinantal Point Processes
In Spotlights Session 11
Alex Kulesza · Ben Taskar
Spotlight
Wed Dec 08 03:15 PM -- 03:20 PM (PST) @ Regency Ballroom
Supervised Clustering
In Spotlights Session 11
Pranjal Awasthi · Reza Zadeh
Spotlight
Wed Dec 08 03:20 PM -- 03:25 PM (PST) @ Regency Ballroom
Online Learning in The Manifold of Low-Rank Matrices
In Spotlights Session 11
Uri Shalit · Daphna Weinshall · Gal Chechik
Spotlight
Wed Dec 08 03:25 PM -- 03:30 PM (PST) @ Regency Ballroom
Sample Complexity of Testing the Manifold Hypothesis
In Spotlights Session 11
Hariharan Narayanan · Sanjoy K Mitter
Oral
Wed Dec 08 03:30 PM -- 03:50 PM (PST) @ Regency Ballroom
Identifying graph-structured activation patterns in networks
In Oral Session 14
James L Sharpnack · Aarti Singh
Session
Wed Dec 08 03:30 PM -- 03:50 PM (PST)
Oral Session 14
Pradeep Ravikumar
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
In Oral Session 15
Fabian Triefenbach · Azarakhsh Jalalvand · Benjamin Schrauwen · Jean-Pierre Martens
Session
Wed Dec 08 04:20 PM -- 05:00 PM (PST)
Oral Session 15
Irina Rish
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
In Oral Session 15
Zeeshan Syed · John Guttag
Session
Wed Dec 08 05:00 PM -- 05:20 PM (PST)
Spotlights Session 12
Irina Rish
Spotlight
Wed Dec 08 05:00 PM -- 05:05 PM (PST) @ Regency Ballroom
Functional Geometry Alignment and Localization of Brain Areas
In Spotlights Session 12
Georg Langs · Yanmei Tie · Laura Rigolo · Alexandra Golby · Polina Golland
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
In Spotlights Session 12
Kamiya Motwani · Nagesh Adluru · Chris Hinrichs · Vikas Singh
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
In Spotlights Session 12
Jie Tang · Pieter Abbeel
Spotlight
Wed Dec 08 05:15 PM -- 05:20 PM (PST) @ Regency Ballroom
Shadow Dirichlet for Restricted Probability Modeling
In Spotlights Session 12
Bela A Frigyik · Maya R Gupta · Yihua Chen
Oral
Wed Dec 08 05:20 PM -- 05:40 PM (PST) @ Regency Ballroom
On the Convexity of Latent Social Network Inference
In Oral Session 16
Seth A Myers · Jure Leskovec
Session
Wed Dec 08 05:20 PM -- 05:40 PM (PST)
Oral Session 16
Kilian Q Weinberger
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
In Spotlights Session 13
Alex Strehl · Lihong Li · John Langford · Sham M Kakade
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
In Spotlights Session 13
Guy D Isely · Chris J Hillar · Fritz Sommer
Spotlight
Wed Dec 08 05:50 PM -- 05:55 PM (PST) @ Regency Ballroom
Feature Set Embedding for Incomplete Data
In Spotlights Session 13
David Grangier · Iain Melvin
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
In Spotlights Session 13
David Sontag · Ofer Meshi · Tommi Jaakkola · Amir Globerson
Session
Wed Dec 08 07:00 PM -- 11:59 PM (PST)
Poster Session
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
Platform to Share Feature Extraction Methods
In Demonstrations
François Fleuret
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
BCI Demonstration using a Dry-Electrode
In Demonstrations
Achim Hornecker
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
The SHOGUN Machine Learning Toolbox
In Demonstrations
Soeren Sonnenburg
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
Visual Object Recognition with NN Convolutional & Spiking; Test on Traffic Signs
In Demonstrations
Vincent de Ladurantaye
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
Stochastic Matlab
In Demonstrations
David Wingate
Demonstration
Wed Dec 08 07:30 PM -- 11:59 PM (PST) @ Georgia A
Globby: It's a Search Engine with a Sorting View
In Demonstrations
Novi Quadrianto
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) @ Registration Desk, 3rd Floor Hyatt
Registration Desk
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Thu Dec 09 08:00 AM -- 09:00 AM (PST) @ Regency A
Breakfast
Placeholder
Thu Dec 09 08:00 AM -- 11:00 AM (PST) @ Oxford Room
Internet Cafe
Invited Talk
Thu Dec 09 09:00 AM -- 09:50 AM (PST) @ Regency Ballroom
Perceptual Bases for Rules of Thumb in Photography
In Oral Session 17
Martin S Banks
Session
Thu Dec 09 09:00 AM -- 10:10 AM (PST)
Oral Session 17
Rob Fergus
Oral
Thu Dec 09 09:50 AM -- 10:10 AM (PST) @ Regency Ballroom
Learning to combine foveal glimpses with a third-order Boltzmann machine
In Oral Session 17
Hugo Larochelle · Geoffrey E Hinton
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
In Oral Session 18
Josh Tenenbaum
Session
Thu Dec 09 10:40 AM -- 11:50 AM (PST)
Oral Session 18
David Blei
Oral
Thu Dec 09 11:30 AM -- 11:50 AM (PST) @ Regency Ballroom
Humans Learn Using Manifolds, Reluctantly
In Oral Session 18
Bryan R Gibson · Jerry Zhu · Timothy T Rogers · Chuck Kalish · Joseph Harrison
Session
Thu Dec 09 02:00 PM -- 05:00 PM (PST) @ 3rd Floor Hyatt Regency, Vancouver
The Sam Roweis Symposium
Maneesh Sahani
Talk
Thu Dec 09 02:00 PM -- 02:30 PM (PST)
Unifying Views in Unsupervised Learning
In The Sam Roweis Symposium
Zoubin Ghahramani
Talk
Thu Dec 09 02:30 PM -- 03:00 PM (PST)
Manifold Learning
In The Sam Roweis Symposium
Lawrence Saul
Talk
Thu Dec 09 03:00 PM -- 03:30 PM (PST)
A Probabilistic Approach to Data Visualization
In The Sam Roweis Symposium
Geoffrey E Hinton
Placeholder
Thu Dec 09 04:00 PM -- 08:00 PM (PST) @ Registration Desk, Westin Lobby, Whistler
Registration Desk
Talk
Thu Dec 09 04:00 PM -- 04:30 PM (PST)
Learning Structural Sparsity
In The Sam Roweis Symposium
Yoram Singer
Talk
Thu Dec 09 04:30 PM -- 05:00 PM (PST)
Automating Astronomy
In The Sam Roweis Symposium
David W Hogg
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
Terrence Sejnowski · Neil D Lawrence
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) @ Hilton: Cheakmus
Deep Learning and Unsupervised Feature Learning
Honglak Lee · Marc'Aurelio Ranzato · Yoshua Bengio · Geoffrey E Hinton · Yann LeCun · Andrew Y Ng
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe B
Machine Learning in Computational Biology
Gunnar Rätsch · Jean-Philippe Vert · Tomer Hertz · Yanjun Qi
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Glacier
Machine Learning for Assistive Technologies
Jesse Hoey · Pascal Poupart · Thomas Ploetz
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Black Tusk
Decision Making with Multiple Imperfect Decision Makers
Miroslav Karny · Tatiana V. Guy · David H Wolpert
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Emerald A
Optimization for Machine Learning
Suvrit Sra · Sebastian Nowozin · Stephen Wright
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine A
Modeling Human Communication Dynamics
Louis-Philippe Morency · Daniel Gatica-Perez · Nigel G Ward
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Nordic
Tensors, Kernels, and Machine Learning
Tamara G Kolda · Vicente Malave · David F Gleich · Johan Suykens · Marco Signoretto · Andreas Argyriou
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Callaghan
Computational Social Science and the Wisdom of Crowds
Jenn Wortman Vaughan · Hanna Wallach
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
Ryan Adams · Mark A Girolami · Iain Murray
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Diamond Head
Machine Learning in Online Advertising
Jimi G Shanahan · Deepak Agarwal · Tao Qin · Tie-Yan Liu
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine DE
Coarse-to-Fine Learning and Inference
Ben Taskar · David J Weiss · Benjamin J Sapp · Slav Petrov
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt Currie South
Robust Statistical Learning
Pradeep Ravikumar · Constantine Caramanis · Sujay Sanghavi
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine BC
Beyond classification: Machine Learning for next generation Computer Vision challenges
Craig Saunders · Jakob Verbeek · Svetlana Lazebnik
Workshop
Fri Dec 10 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe A
Practical Application of Sparse Modeling: Open Issues and New Directions
Irina Rish · Alexandru Niculescu-Mizil · Guillermo Cecchi · Aurelie Lozano
Placeholder
Fri Dec 10 03:30 PM -- 06:00 PM (PST) @ Whistler Westin Lobby
Registration Desk
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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) @ Westin: Alpine DE
Challenges of Data Visualization
Barbara Hammer · Laurens van der Maaten · Fei Sha · Alex Smola
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine A
Machine Learning for Social Computing
Zenglin Xu · Irwin King · Shenghuo Zhu · Alan Qi · Rong Yan · John Yen
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine BC
Low-rank Methods for Large-scale Machine Learning
Arthur Gretton · Michael W Mahoney · Mehryar Mohri · Ameet S Talwalkar
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt Currie South
Learning on Cores, Clusters, and Clouds
Alekh Agarwal · Lawrence Cayton · Ofer Dekel · John Duchi · John Langford
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Glacier
Charting Chemical Space: Challenges and Opportunities for AI and Machine Learning
Pierre Baldi · Klaus-Robert Müller · Gisbert Schneider
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt Currie North
New Directions in Multiple Kernel Learning
Marius Kloft · Ulrich Rueckert · Cheng Soon Ong · Alain Rakotomamonjy · Soeren Sonnenburg · Francis Bach
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Nordic
Networks Across Disciplines: Theory and Applications
Edo M Airoldi · Anna Goldenberg · Jure Leskovec · Quaid Morris
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Black Tusk
Machine Learning meets Computational Photography
Stefan Harmeling · Michael Hirsch · Bill Freeman · Peyman Milanfar
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Cheakmus
Discrete Optimization in Machine Learning: Structures, Algorithms and Applications
Andreas Krause · Pradeep Ravikumar · Jeff Bilmes · Stefanie Jegelka
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Emerald A
Transfer Learning Via Rich Generative Models.
Russ Salakhutdinov · Ryan Adams · Josh Tenenbaum · Zoubin Ghahramani · Tom Griffiths
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Diamond Head
Numerical Mathematics Challenges in Machine Learning
Matthias Seeger · Suvrit Sra
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Callaghan
Advances in Activity-Dependent Synaptic Plasticity
Paul W Munro
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe B
Predictive Models in Personalized Medicine
Faisal Farooq · Glenn Fung · Romer Rosales · Shipeng Yu · Jude W Shavlik · Balaji R Krishnapuram · Raju Kucherlapati
Workshop
Sat Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe A
Learning and Planning from Batch Time Series Data
Dan Lizotte · Michael Bowling · Susan Murphy · Joelle Pineau · Sandeep Vijan
Placeholder
Sat Dec 11 07:30 PM -- 10:30 PM (PST) @ Westin Emerald Ballroom
Workshops Banquet