Skip to yearly menu bar Skip to main content


(468 events)   Timezone:  
Toggle Poster Visibility
Placeholder
Sun Dec 06 04:00 PM -- 08:00 PM (PST) @ 3rd Floor, Hyatt Regency Vancouver
Registration Desk
Break
Mon Dec 07 07:30 AM -- 09:00 AM (PST) @ Regency A
Breakfast - Regency A, Conference Level
Placeholder
Mon Dec 07 08:00 AM -- 06:00 PM (PST) @ Queen Charlotte, Oxford
Registration Desk, Internet Cafe
Placeholder
Mon Dec 07 08:00 AM -- 06:00 PM (PST) @ Queen Charlotte
Registration Desk, Internet Cafe
Tutorial
Mon Dec 07 09:30 AM -- 11:30 AM (PST) @ Regency D
Understanding Visual Scenes
Antonio Torralba
Tutorial
Mon Dec 07 09:30 AM -- 11:30 AM (PST) @ Regency E/F
Making Very Large-Scale Linear Algebraic Computations Possible Via Randomization
Gunnar Martinsson
Break
Mon Dec 07 11:30 AM -- 01:00 PM (PST)
Lunch Break
Tutorial
Mon Dec 07 01:00 PM -- 03:00 PM (PST) @ Regency E/F
Model-Based Reinforcement Learning
Michael L Littman
Tutorial
Mon Dec 07 01:00 PM -- 03:00 PM (PST) @ Regency D
Sparse Methods for Machine Learning: Theory and Algorithms
Francis Bach
Break
Mon Dec 07 03:00 PM -- 03:30 PM (PST)
Break
Tutorial
Mon Dec 07 03:30 PM -- 05:30 PM (PST) @ Regency E/F
Deep Learning in Natural Language Processing
Ronan Collobert · Jason E Weston
Tutorial
Mon Dec 07 03:30 PM -- 05:30 PM (PST) @ Regency D
Sequential Monte-Carlo Methods
Arnaud Doucet · Nando de Freitas
Session
Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Regency Ballroom
Opening Remarks and Awards
Session
Mon Dec 07 06:30 PM -- 06:50 PM (PST)
Spotlights
Spotlight
Mon Dec 07 06:33 PM -- 06:34 PM (PST)
Learning to Rank by Optimizing NDCG Measure
In Spotlights
Hamed Valizadegan · Rong Jin · Ruofei Zhang · Jianchang Mao
Spotlight
Mon Dec 07 06:34 PM -- 06:35 PM (PST)
On Learning Rotations
In Spotlights
Raman Arora
Spotlight
Mon Dec 07 06:35 PM -- 06:36 PM (PST)
Sparsistent Learning of Varying-coefficient Models with Structural Changes
In Spotlights
Mladen Kolar · Le Song · Eric Xing
Spotlight
Mon Dec 07 06:36 PM -- 06:37 PM (PST)
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
In Spotlights
Stefan Klampfl · Wolfgang Maass
Spotlight
Mon Dec 07 06:37 PM -- 06:38 PM (PST)
Heavy-Tailed Symmetric Stochastic Neighbor Embedding
In Spotlights
Zhirong Yang · Irwin King · Zenglin Xu · Erkki Oja
Spotlight
Mon Dec 07 06:38 PM -- 06:39 PM (PST)
Spatial Normalized Gamma Processes
In Spotlights
Vinayak Rao · Yee Whye Teh
Spotlight
Mon Dec 07 06:39 PM -- 06:40 PM (PST)
Rethinking LDA: Why Priors Matter
In Spotlights
Hanna Wallach · David Mimno · Andrew McCallum
Spotlight
Mon Dec 07 06:40 PM -- 06:41 PM (PST)
Nonparametric Latent Feature Models for Link Prediction
In Spotlights
Kurt T Miller · Tom Griffiths · Michael Jordan
Spotlight
Mon Dec 07 06:41 PM -- 06:42 PM (PST)
A Fast, Consistent Kernel Two-Sample Test
In Spotlights
Arthur Gretton · Kenji Fukumizu · Zaid Harchaoui · Bharath Sriperumbudur
Spotlight
Mon Dec 07 06:42 PM -- 06:43 PM (PST)
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
In Spotlights
Amarnag Subramanya · Jeffrey A Bilmes
Spotlight
Mon Dec 07 06:43 PM -- 06:44 PM (PST)
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
In Spotlights
Sundeep Rangan · Alyson Fletcher · Vivek K Goyal
Spotlight
Mon Dec 07 06:44 PM -- 06:45 PM (PST)
Fast Learning from Non-i.i.d. Observations
In Spotlights
Ingo Steinwart · Andreas Christmann
Spotlight
Mon Dec 07 06:45 PM -- 06:46 PM (PST)
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
In Spotlights
Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
The Wisdom of Crowds in the Recollection of Order Information
In Poster Session
Mark Steyvers · Michael D Lee · Brent Miller · Pernille Hemmer
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
In Poster Session
Matthew B Blaschko · Jacquelyn A Shelton · Andreas Bartels
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Toward Provably Correct Feature Selection in Arbitrary Domains
In Poster Session
Dimitris Margaritis
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Rethinking LDA: Why Priors Matter
In Poster Session
Hanna Wallach · David Mimno · Andrew McCallum
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning to Rank by Optimizing NDCG Measure
In Poster Session
Hamed Valizadegan · Rong Jin · Ruofei Zhang · Jianchang Mao
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Conditional Neural Fields
In Poster Session
Jian Peng · Liefeng Bo · Jinbo Xu
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Bayesian Analysis of Dynamics in Free Recall
In Poster Session
Richard Socher · Samuel J Gershman · Adler Perotte · Per Sederberg · David Blei · Kenneth Norman
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
On Learning Rotations
In Poster Session
Raman Arora
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Nonparametric Latent Feature Models for Link Prediction
In Poster Session
Kurt T Miller · Tom Griffiths · Michael Jordan
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Ranking Measures and Loss Functions in Learning to Rank
In Poster Session
Wei Chen · Tie-Yan Liu · Yanyan Lan · Zhi-Ming Ma · Hang Li
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Robust Nonparametric Regression with Metric-Space Valued Output
In Poster Session
Matthias Hein
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Semi-supervised Learning using Sparse Eigenfunction Bases
In Poster Session
Kaushik Sinha · Mikhail Belkin
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Modeling Social Annotation Data with Content Relevance using a Topic Model
In Poster Session
Tomoharu Iwata · Takeshi Yamada · Naonori Ueda
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Generalized Natural Actor-Critic Algorithm
In Poster Session
Tetsuro Morimura · Eiji Uchibe · Junichiro Yoshimoto · Kenji Doya
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Variational Inference for the Nested Chinese Restaurant Process
In Poster Session
Chong Wang · David Blei
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Gaussian process regression with Student-t likelihood
In Poster Session
Jarno Vanhatalo · Pasi Jylänki · Aki Vehtari
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning models of object structure
In Poster Session
Joseph Schlecht · Kobus Barnard
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Breaking Boundaries Between Induction Time and Diagnosis Time Active Information Acquisition
In Poster Session
Ashish Kapoor · Eric Horvitz
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Optimal context separation of spiking haptic signals by second-order somatosensory neurons
In Poster Session
Romain Brasselet · Roland Johansson · Angelo Arleo
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Compressed Least-Squares Regression
In Poster Session
Odalric-Ambrym Maillard · Remi Munos
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Manifold Embeddings for Model-Based Reinforcement Learning under Partial Observability
In Poster Session
Keith Bush · Joelle Pineau
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Modelling Relational Data using Bayesian Clustered Tensor Factorization
In Poster Session
Ilya Sutskever · Russ Salakhutdinov · Josh Tenenbaum
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Streaming k-means approximation
In Poster Session
Nir Ailon · Ragesh Jaiswal · Claire Monteleoni
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning a Small Mixture of Trees
In Poster Session
M. Pawan Kumar · Daphne Koller
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
DUOL: A Double Updating Approach for Online Learning
In Poster Session
Peilin Zhao · Steven Chu-Hong Hoi · Rong Jin
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Nonparametric Bayesian Texture Learning and Synthesis
In Poster Session
Leo Zhu · Yuanhao Chen · Bill Freeman · Antonio Torralba
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation
In Poster Session
Hamid R Maei · Csaba Szepesvari · Shalabh Batnaghar · Doina Precup · David Silver · Richard Sutton
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Unsupervised Feature Selection for the $k$-means Clustering Problem
In Poster Session
Christos Boutsidis · Michael W Mahoney · Petros Drineas
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Structured output regression for detection with partial truncation
In Poster Session
Andrea Vedaldi · Andrew Zisserman
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sparse and Locally Constant Gaussian Graphical Models
In Poster Session
Jean Honorio · Luis E Ortiz · Dimitris Samaras · Nikos Paragios · Rita Goldstein
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording
In Poster Session
Zhi Yang · Qi Zhao · Edward Keefer · Wentai Liu
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Dirichlet-Bernoulli Alignment: A Generative Model for Multi-Class Multi-Label Multi-Instance Corpora
In Poster Session
Shuang Yang · Hongyuan Zha · Bao-Gang Hu
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes
In Poster Session
Kian Ming A Chai
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise
In Poster Session
Jacob Whitehill · Paul L Ruvolo · Ting-fan Wu · Jacob Bergsma · javier r movellan
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Stochastic approximation method for inference in probabilistic graphical models
In Poster Session
Peter Carbonetto · Matthew King · Firas Hamze
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
In Poster Session
John Wright · Arvind G Balasubramanian · Shankar Rao · Yigang Peng · Yi Ma
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning with Compressible Priors
In Poster Session
Volkan Cevher
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Polynomial Semantic Indexing
In Poster Session
Bing Bai · Jason E Weston · David Grangier · Ronan Collobert · Kunihiko Sadamasa · Yanjun Qi · Corinna Cortes · Mehryar Mohri
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds
In Poster Session
Paris Smaragdis · Madhusudana Shashanka · Bhiksha Raj
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Measuring model complexity with the prior predictive
In Poster Session
Wolf Vanpaemel
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
AUC optimization and the two-sample problem
In Poster Session
Stéphan Clémençon · Nicolas Vayatis · Marine Depecker
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
In Poster Session
Shakir Mohamed · David A Knowles · Zoubin Ghahramani · Finale P Doshi-Velez
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Which graphical models are difficult to learn?
In Poster Session
Andrea Montanari · José Bento
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Heavy-Tailed Symmetric Stochastic Neighbor Embedding
In Poster Session
Zhirong Yang · Irwin King · Zenglin Xu · Erkki Oja
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Optimal Scoring for Unsupervised Learning
In Poster Session
Zhihua Zhang · guang dai
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Estimating image bases for visual image reconstruction from human brain activity
In Poster Session
Yusuke Fujiwara · Yoichi Miyawaki · Yukiyasu Kamitani
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Biologically Plausible Model for Rapid Natural Scene Identification
In Poster Session
Sennay Ghebreab · H.Scholte Steven · Victor Lamme · Arnold Smeulders
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Asymptotically Optimal Regularization in Smooth Parametric Models
In Poster Session
Percy Liang · Francis Bach · Guillaume Bouchard · Michael Jordan
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sequential effects reflect parallel learning of multiple environmental regularities
In Poster Session
Matthew Wilder · Matt Jones · Michael Mozer
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies
In Poster Session
Arno Onken · Steffen Grünewälder · Klaus H Obermayer
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
In Poster Session
Sundeep Rangan · Alyson Fletcher · Vivek K Goyal
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Spatial Normalized Gamma Processes
In Poster Session
Vinayak Rao · Yee Whye Teh
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
In Poster Session
Yang Wang · Gholamreza Haffari · Shaojun Wang · Greg Mori
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Non-stationary continuous dynamic Bayesian networks
In Poster Session
Marco Grzegorczyk · Dirk Husmeier
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
A Fast, Consistent Kernel Two-Sample Test
In Poster Session
Arthur Gretton · Kenji Fukumizu · Zaid Harchaoui · Bharath Sriperumbudur
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Positive Semidefinite Metric Learning with Boosting
In Poster Session
Chunhua Shen · Junae Kim · Lei Wang · Anton van den Hengel
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Distribution-Calibrated Hierarchical Classification
In Poster Session
Ofer Dekel
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
On Invariance in Hierarchical Models
In Poster Session
Jake Bouvrie · Lorenzo Rosasco · Tomaso Poggio
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks
In Poster Session
Stefan Klampfl · Wolfgang Maass
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity
In Poster Session
Bryan Conroy · Ben Singer · James Haxby · Peter J Ramadge
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Streaming Pointwise Mutual Information
In Poster Session
Benjamin Van Durme · Ashwin Lall
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Free energy score space
In Poster Session
Alessandro Perina · Marco Cristani · Umberto Castellani · Vittorio Murino · Nebojsa Jojic
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models
In Poster Session
Jing Gao · Feng Liang · Wei Fan · Yizhou Sun · Jiawei Han
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Multiple Incremental Decremental Learning of Support Vector Machines
In Poster Session
Masayuki Karasuyama · Ichiro Takeuchi
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Matrix Completion from Power-Law Distributed Samples
In Poster Session
Raghu Meka · Prateek Jain · Inderjit Dhillon
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Code-specific policy gradient rules for spiking neurons
In Poster Session
Henning Sprekeler · Guillaume Hennequin · Wulfram Gerstner
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
On the Algorithmics and Applications of a Mixed-norm based Kernel Learning Formulation
In Poster Session
Saketha Nath Jagarlapudi · dinesh govindaraj · Raman S · Chiranjib Bhattacharyya · Aharon Ben-Tal · K. R. Ramakrishnan
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
White Functionals for Anomaly Detection in Dynamical Systems
In Poster Session
Marco Cuturi · Jean-Philippe Vert · Alexandre d'Aspremont
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Distribution Matching for Transduction
In Poster Session
Novi Quadrianto · James Petterson · Alexander Smola
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification
In Poster Session
Amarnag Subramanya · Jeffrey A Bilmes
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Sparsistent Learning of Varying-coefficient Models with Structural Changes
In Poster Session
Mladen Kolar · Le Song · Eric Xing
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
The "tree-dependent components" of natural scenes are edge filters
In Poster Session
Daniel Zoran · Yair Weiss
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization
In Poster Session
Lin Xiao
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Bayesian estimation of orientation preference maps
In Poster Session
Jakob H Macke · Sebastian Gerwinn · Leonard White · Matthias Kaschube · Matthias Bethge
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Fast Learning from Non-i.i.d. Observations
In Poster Session
Ingo Steinwart · Andreas Christmann
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Nash Equilibria of Static Prediction Games
In Poster Session
Michael Brückner · Tobias Scheffer
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Solving Stochastic Games
In Poster Session
Liam MacDermed · Charles Isbell
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Beyond Convexity: Online Submodular Minimization
In Poster Session
Elad Hazan · Satyen Kale
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
An Online Algorithm for Large Scale Image Similarity Learning
In Poster Session
Gal Chechik · Uri Shalit · Varun Sharma · Samy Bengio
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Rank-Approximate Nearest Neighbor Search: Retaining Meaning and Speed in High Dimensions
In Poster Session
Parikshit Ram · Dongryeol Lee · Hua Ouyang · Alexander Gray
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
In Poster Session
Tom Ouyang · Randall Davis
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
In Poster Session
Tao Hu · Anthony Leonardo · Dmitri B Chklovskii
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Improving Existing Fault Recovery Policies
In Poster Session
Guy Shani · Christopher Meek
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Monte Carlo Sampling for Regret Minimization in Extensive Games
In Poster Session
Marc Lanctot · Kevin G Waugh · Martin A Zinkevich · Michael Bowling
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Zero-shot Learning with Semantic Output Codes
In Poster Session
Mark M Palatucci · Dean Pomerleau · Geoffrey E Hinton · Tom Mitchell
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Individuation, Identification and Object Discovery
In Poster Session
Charles Kemp · Alan Jern · Fei Xu
[ PDF] 
Poster
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Periodic Step Size Adaptation for Single Pass On-line Learning
In Poster Session
Chun-Nan Hsu · Yu-Ming Chang · Hanshen Huang · Yuh-Jye Lee
[ PDF] 
Session
Mon Dec 07 07:00 PM -- 11:59 PM (PST)
Poster Session
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
The IID: A Natively Probabilistic Reconfigurable Computer
In Demonstrations
Vikash Mansinghka
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Activity Recognition and Human Gait Recognition
In Demonstrations
Jordan W Frank
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Causality Workbench
In Demonstrations
Isabelle Guyon
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Vision Toolkit for Image Recognition
In Demonstrations
Jamie Niemasik
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Demonstration of the TreeRank Software
In Demonstrations
Marine Depecker
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Car Detector trained with the Quantum Adiabatic Algorithm
In Demonstrations
Hartmut Neven
Demonstration
Tue Dec 08 12:00 AM -- 12:00 AM (PST)
Automatically Adaptable Spike Sorting Software
In Demonstrations
Jorge A Gamez de Leon
Break
Tue Dec 08 07:30 AM -- 09:00 AM (PST) @ Regency A - Conference Level
Breakfast
Placeholder
Tue Dec 08 08:00 AM -- 06:00 PM (PST) @ Queen Charlotte, Oxford
Registration Desk, Internet Cafe
Invited Talk
Tue Dec 08 08:30 AM -- 10:10 AM (PST)
Relative Entropy
In Oral Session 1: Information Theory and Estimation
Sergio Verdu
Session
Tue Dec 08 08:30 AM -- 10:10 AM (PST)
Oral Session 1: Information Theory and Estimation
Rob Nowak
Oral
Tue Dec 08 09:30 AM -- 09:50 AM (PST)
Multi-Label Prediction via Compressed Sensing
In Oral Session 1: Information Theory and Estimation
Daniel Hsu · Sham M Kakade · John Langford · Tong Zhang
Oral
Tue Dec 08 09:50 AM -- 10:10 AM (PST)
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
In Oral Session 1: Information Theory and Estimation
Sahand N Negahban · Pradeep Ravikumar · Martin J Wainwright · Bin Yu
Break
Tue Dec 08 10:10 AM -- 10:40 AM (PST)
Break
Oral
Tue Dec 08 10:40 AM -- 11:00 AM (PST)
An Additive Latent Feature Model for Transparent Object Recognition
In Oral Session 2: Images and Codes
Mario J Fritz · Michael J Black · Gary R Bradski · Trevor Darrell
Session
Tue Dec 08 10:40 AM -- 12:00 PM (PST)
Oral Session 2: Images and Codes
Bill Triggs
Oral
Tue Dec 08 11:00 AM -- 11:20 AM (PST)
Semi-Supervised Learning in Gigantic Image Collections
In Oral Session 2: Images and Codes
Rob Fergus · Yair Weiss · Antonio Torralba
Oral
Tue Dec 08 11:20 AM -- 11:40 AM (PST)
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
In Oral Session 2: Images and Codes
Mingyuan Zhou · Haojun Chen · John Paisley · Lu Ren · Guillermo Sapiro · Larry Carin
Oral
Tue Dec 08 11:40 AM -- 12:00 PM (PST)
Locality-Sensitive Binary Codes from Shift-Invariant Kernels
In Oral Session 2: Images and Codes
Maxim Raginsky · Svetlana Lazebnik
Break
Tue Dec 08 12:00 PM -- 02:00 PM (PST)
Lunch Break
Session
Tue Dec 08 12:30 PM -- 01:45 PM (PST) @ Stanley Room (34th floor)
Debate on Future Publication Models for the NIPS Community
Yoshua Bengio
Invited Talk
Tue Dec 08 02:00 PM -- 03:00 PM (PST)
Deep Learning with Multiplicative Interactions
In Oral Session 3: Deep Learning and Network Models
Geoffrey E Hinton
Session
Tue Dec 08 02:00 PM -- 03:20 PM (PST)
Oral Session 3: Deep Learning and Network Models
Aaron Courville
Oral
Tue Dec 08 03:00 PM -- 03:20 PM (PST)
Discriminative Network Models of Schizophrenia
In Oral Session 3: Deep Learning and Network Models
Guillermo Cecchi · Irina Rish · Benjamin Thyreau · Bertrand Thirion · Marion Plaze · Jean-Luc Martinot · Marie Laure Paillere-Martinot · Jean-Baptiste Poline
Session
Tue Dec 08 03:20 PM -- 03:40 PM (PST)
Spotlights
Spotlight
Tue Dec 08 03:24 PM -- 03:25 PM (PST)
Kernels and learning curves for Gaussian process regression on random graphs
In Spotlights
Peter Sollich · Matthew J Urry · Camille Coti
Spotlight
Tue Dec 08 03:25 PM -- 03:26 PM (PST)
Robust Value Function Approximation Using Bilinear Programming
In Spotlights
Marek Petrik · Shlomo Zilberstein
Spotlight
Tue Dec 08 03:26 PM -- 03:27 PM (PST)
Analysis of SVM with Indefinite Kernels
In Spotlights
Yiming Ying · Colin I Campbell · Mark A Girolami
Spotlight
Tue Dec 08 03:27 PM -- 03:28 PM (PST)
Boosting with Spatial Regularization
In Spotlights
Zhen James Xiang · Yongxin Xi · Uri Hasson · Peter J Ramadge
Spotlight
Tue Dec 08 03:28 PM -- 03:29 PM (PST)
Abstraction and Relational learning
In Spotlights
Charles Kemp · Alan Jern
Spotlight
Tue Dec 08 03:29 PM -- 03:30 PM (PST)
Probabilistic Relational PCA
In Spotlights
Wu-Jun Li · Dit-Yan Yeung · Zhihua Zhang
Spotlight
Tue Dec 08 03:30 PM -- 03:31 PM (PST)
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
In Spotlights
Chong Wang · David Blei
Spotlight
Tue Dec 08 03:31 PM -- 03:32 PM (PST)
A joint maximum-entropy model for binary neural population patterns and continuous signals
In Spotlights
Sebastian Gerwinn · Philipp Berens · Matthias Bethge
Spotlight
Tue Dec 08 03:32 PM -- 03:33 PM (PST)
Efficient Bregman Range Search
In Spotlights
Lawrence Cayton
Spotlight
Tue Dec 08 03:33 PM -- 03:34 PM (PST)
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
In Spotlights
Yusuke Watanabe · Kenji Fukumizu
Spotlight
Tue Dec 08 03:34 PM -- 03:35 PM (PST)
Online Learning of Assignments
In Spotlights
Matthew Streeter · Daniel Golovin · Andreas Krause
Spotlight
Tue Dec 08 03:35 PM -- 03:36 PM (PST)
Linear-time Algorithms for Pairwise Statistical Problems
In Spotlights
Parikshit Ram · Dongryeol Lee · William B March · Alexander Gray
Break
Tue Dec 08 03:40 PM -- 04:10 PM (PST)
Break
Oral
Tue Dec 08 04:10 PM -- 04:30 PM (PST)
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning
In Oral Session 4: Cognitive Science and EEG Analysis
Anne Hsu · Tom Griffiths
Session
Tue Dec 08 04:10 PM -- 05:10 PM (PST)
Oral Session 4: Cognitive Science and EEG Analysis
Charles Kemp
Oral
Tue Dec 08 04:30 PM -- 04:50 PM (PST)
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
In Oral Session 4: Cognitive Science and EEG Analysis
Edward Vul · Michael C Frank · George Alvarez · Josh Tenenbaum
Oral
Tue Dec 08 04:50 PM -- 05:10 PM (PST)
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
In Oral Session 4: Cognitive Science and EEG Analysis
Wenming Zheng · Zhouchen Lin
Session
Tue Dec 08 05:10 PM -- 05:30 PM (PST)
Spotlights
Spotlight
Tue Dec 08 05:13 PM -- 05:14 PM (PST)
Indian Buffet Processes with Power-law Behavior
In Spotlights
Yee Whye Teh · Dilan Gorur
Spotlight
Tue Dec 08 05:14 PM -- 05:15 PM (PST)
Submodularity Cuts and Applications
In Spotlights
Yoshinobu Kawahara · Kiyohito Nagano · Koji Tsuda · Jeffrey A Bilmes
Spotlight
Tue Dec 08 05:15 PM -- 05:16 PM (PST)
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
In Spotlights
Ruben Coen-Cagli · Peter Dayan · Odelia Schwartz
Spotlight
Tue Dec 08 05:16 PM -- 05:17 PM (PST)
STDP enables spiking neurons to detect hidden causes of their inputs
In Spotlights
Bernhard Nessler · Michael Pfeiffer · Wolfgang Maass
Spotlight
Tue Dec 08 05:17 PM -- 05:18 PM (PST)
3D Object Recognition with Deep Belief Nets
In Spotlights
Vinod Nair · Geoffrey E Hinton
Spotlight
Tue Dec 08 05:18 PM -- 05:19 PM (PST)
Maximum likelihood trajectories for continuous-time Markov chains
In Spotlights
Theodore Perkins
Spotlight
Tue Dec 08 05:19 PM -- 05:20 PM (PST)
Time-Varying Dynamic Bayesian Networks
In Spotlights
Le Song · Mladen Kolar · Eric Xing
Spotlight
Tue Dec 08 05:20 PM -- 05:21 PM (PST)
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations
In Spotlights
Peter Orbanz
Spotlight
Tue Dec 08 05:21 PM -- 05:22 PM (PST)
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
In Spotlights
Michael Wick · Khashayar Rohanimanesh · Sameer Singh · Andrew McCallum
Spotlight
Tue Dec 08 05:22 PM -- 05:23 PM (PST)
Riffled Independence for Ranked Data
In Spotlights
Jonathan Huang · Carlos Guestrin
Spotlight
Tue Dec 08 05:23 PM -- 05:24 PM (PST)
A Smoothed Approximate Linear Program
In Spotlights
Vijay Desai · Vivek Farias · Ciamac C Moallemi
Spotlight
Tue Dec 08 05:24 PM -- 05:25 PM (PST)
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
In Spotlights
Alexandre Bouchard-Côté · Slav Petrov · Dan Klein
Spotlight
Tue Dec 08 05:25 PM -- 05:26 PM (PST)
Subject independent EEG-based BCI decoding
In Spotlights
Siamac Fazli · Cristian Grozea · Márton Danóczy · Benjamin Blankertz · Florin Popescu · Klaus-Robert Müller
Break
Tue Dec 08 05:30 PM -- 07:30 PM (PST)
Dinner Break
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
In Poster Session
Lei Wu · Rong Jin · Steven Chu-Hong Hoi · Jianke Zhu · Nenghai Yu
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning
In Poster Session
Anne Hsu · Tom Griffiths
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
On the Convergence of the Concave-Convex Procedure
In Poster Session
Bharath Sriperumbudur · Gert Lanckriet
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Factor Modeling for Advertisement Targeting
In Poster Session
Ye Chen · Michael Kapralov · Dmitry Pavlov · John Canny
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Kernels and learning curves for Gaussian process regression on random graphs
In Poster Session
Peter Sollich · Matthew J Urry · Camille Coti
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
In Poster Session
Michael Wick · Khashayar Rohanimanesh · Sameer Singh · Andrew McCallum
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Statistical Models of Linear and Nonlinear Contextual Interactions in Early Visual Processing
In Poster Session
Ruben Coen-Cagli · Peter Dayan · Odelia Schwartz
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
STDP enables spiking neurons to detect hidden causes of their inputs
In Poster Session
Bernhard Nessler · Michael Pfeiffer · Wolfgang Maass
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Fast, smooth and adaptive regression in metric spaces
In Poster Session
Samory Kpotufe
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A Smoothed Approximate Linear Program
In Poster Session
Vijay Desai · Vivek Farias · Ciamac C Moallemi
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
In Poster Session
Chonghai Hu · James Kwok · Weike Pan
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Explaining human multiple object tracking as resource-constrained approximate inference in a dynamic probabilistic model
In Poster Session
Edward Vul · Michael C Frank · George Alvarez · Josh Tenenbaum
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Label Selection on Graphs
In Poster Session
Andrew Guillory · Jeffrey A Bilmes
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A Neural Implementation of the Kalman Filter
In Poster Session
Robert C Wilson · Leif Finkel
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Adapting to the Shifting Intent of Search Queries
In Poster Session
Umar Syed · Aleksandrs Slivkins · Nina Mishra
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Slow Learners are Fast
In Poster Session
Martin A Zinkevich · Alexander Smola · John Langford
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Riffled Independence for Ranked Data
In Poster Session
Jonathan Huang · Carlos Guestrin
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Construction of Nonparametric Bayesian Models from Parametric Bayes Equations
In Poster Session
Peter Orbanz
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation
In Poster Session
Shuheng Zhou
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Efficient and Accurate Lp-Norm Multiple Kernel Learning
In Poster Session
Marius Kloft · Ulf Brefeld · Soeren Sonnenburg · Pavel Laskov · Klaus-Robert Müller · Alexander Zien
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
In Poster Session
Kwang In Kim · Florian Steinke · Matthias Hein
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
3D Object Recognition with Deep Belief Nets
In Poster Session
Vinod Nair · Geoffrey E Hinton
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Time-Varying Dynamic Bayesian Networks
In Poster Session
Le Song · Mladen Kolar · Eric Xing
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction
In Poster Session
Aurelie Lozano · Grzegorz M Swirszcz · Naoki Abe
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Group Sparse Coding
In Poster Session
Samy Bengio · Fernando Pereira · Yoram Singer · Dennis Strelow
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning in Markov Random Fields using Tempered Transitions
In Poster Session
Russ Salakhutdinov
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Maximum likelihood trajectories for continuous-time Markov chains
In Poster Session
Theodore Perkins
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonlinear Learning using Local Coordinate Coding
In Poster Session
Kai Yu · Tong Zhang · Yihong Gong
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Adaptive Design Optimization in Experiments with People
In Poster Session
Daniel Cavagnaro · Mark Pitt · Jay Myung
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Clustering sequence sets for motif discovery
In Poster Session
Jong Kyoung Kim · Seungjin Choi
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning Non-Linear Combinations of Kernels
In Poster Session
Corinna Cortes · Mehryar Mohri · Afshin Rostamizadeh
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonparametric Greedy Algorithms for the Sparse Learning Problem
In Poster Session
Han Liu · Xi Chen
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Discriminative Network Models of Schizophrenia
In Poster Session
Guillermo Cecchi · Irina Rish · Benjamin Thyreau · Bertrand Thirion · Marion Plaze · Jean-Luc Martinot · Marie Laure Paillere-Martinot · Jean-Baptiste Poline
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Bayesian Sparse Factor Models and DAGs Inference and Comparison
In Poster Session
Ricardo Henao · Ole Winther
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out
In Poster Session
yicong meng · Bertram E Shi
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection
In Poster Session
Roy Anati · Kostas Daniilidis
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Noisy Generalized Binary Search
In Poster Session
Rob Nowak
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Submodularity Cuts and Applications
In Poster Session
Yoshinobu Kawahara · Kiyohito Nagano · Koji Tsuda · Jeffrey A Bilmes
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions
In Poster Session
Bangpeng Yao · Dirk B Walther · Diane M Beck · Fei-Fei Li
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Indian Buffet Processes with Power-law Behavior
In Poster Session
Yee Whye Teh · Dilan Gorur
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
In Poster Session
Miguel Lazaro-Gredilla · Anibal R Figueiras-Vidal
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
In Poster Session
Feng Yan · Ningyi XU · Yuan Qi
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
The Infinite Partially Observable Markov Decision Process
In Poster Session
Finale P Doshi-Velez
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Linear-time Algorithms for Pairwise Statistical Problems
In Poster Session
Parikshit Ram · Dongryeol Lee · William B March · Alexander Gray
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Online Learning of Assignments
In Poster Session
Matthew Streeter · Daniel Golovin · Andreas Krause
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Linearly constrained Bayesian matrix factorization for blind source separation
In Poster Session
Mikkel N Schmidt
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Additive Latent Feature Model for Transparent Object Recognition
In Poster Session
Mario J Fritz · Michael J Black · Gary R Bradski · Trevor Darrell
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Measuring Invariances in Deep Networks
In Poster Session
Ian Goodfellow · Quoc V. Le · Andrew M Saxe · Andrew Y Ng
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Semi-Supervised Learning in Gigantic Image Collections
In Poster Session
Rob Fergus · Yair Weiss · Antonio Torralba
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Speaker Comparison with Inner Product Discriminant Functions
In Poster Session
William Campbell · Zahi N Karam · Douglas E Sturim
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Directed Regression
In Poster Session
Yi-Hao Kao · Benjamin Van Roy · Xiang Yan
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Matrix Completion from Noisy Entries
In Poster Session
Raghunandan Keshavan · Andrea Montanari · Sewoong Oh
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Graph Zeta Function in the Bethe Free Energy and Loopy Belief Propagation
In Poster Session
Yusuke Watanabe · Kenji Fukumizu
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A Gaussian Tree Approximation for Integer Least-Squares
In Poster Session
Jacob Goldberger · Amir Leshem
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
$L_1$-Penalized Robust Estimation for a Class of Inverse Problems Arising in Multiview Geometry
In Poster Session
Arnak Dalalyan · Renaud Keriven
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Regularized Distance Metric Learning:Theory and Algorithm
In Poster Session
Rong Jin · Shijun Wang · Yang Zhou
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Conditional Random Fields with High-Order Features for Sequence Labeling
In Poster Session
Nan Ye · Wee Sun Lee · Hai Leong Chieu · Dan Wu
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Human Rademacher Complexity
In Poster Session
Jerry Zhu · Timothy T Rogers · Bryan R Gibson
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Sensitivity analysis in HMMs with application to likelihood maximization
In Poster Session
Pierre-Arnaud Coquelin · Romain Deguest · Remi Munos
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Efficient Bregman Range Search
In Poster Session
Lawrence Cayton
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Data-driven calibration of linear estimators with minimal penalties
In Poster Session
Sylvain Arlot · Francis Bach
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
In Poster Session
Chong Wang · David Blei
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Abstraction and Relational learning
In Poster Session
Charles Kemp · Alan Jern
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Local Rules for Global MAP: When Do They Work ?
In Poster Session
Kyomin Jung · Pushmeet Kohli · Devavrat Shah
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A joint maximum-entropy model for binary neural population patterns and continuous signals
In Poster Session
Sebastian Gerwinn · Philipp Berens · Matthias Bethge
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Probabilistic Relational PCA
In Poster Session
Wu-Jun Li · Dit-Yan Yeung · Zhihua Zhang
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Robust Value Function Approximation Using Bilinear Programming
In Poster Session
Marek Petrik · Shlomo Zilberstein
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Boosting with Spatial Regularization
In Poster Session
Zhen James Xiang · Yongxin Xi · Uri Hasson · Peter J Ramadge
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Exponential Family Graph Matching and Ranking
In Poster Session
James Petterson · Tiberio Caetano · Julian J McAuley · Jin Yu
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
No evidence for active sparsification in the visual cortex
In Poster Session
Pietro Berkes · Ben White · Jozsef Fiser
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Analysis of SVM with Indefinite Kernels
In Poster Session
Yiming Ying · Colin I Campbell · Mark A Girolami
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Multi-Label Prediction via Compressed Sensing
In Poster Session
Daniel Hsu · Sham M Kakade · John Langford · Tong Zhang
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations
In Poster Session
Mingyuan Zhou · Haojun Chen · John Paisley · Lu Ren · Guillermo Sapiro · Lawrence Carin
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Locality-sensitive binary codes from shift-invariant kernels
In Poster Session
Maxim Raginsky · Svetlana Lazebnik
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A General Projection Property for Distribution Families
In Poster Session
Yao-Liang Yu · Yuxi Li · Dale Schuurmans · Csaba Szepesvari
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
In Poster Session
Tomasz Malisiewicz · Alexei A Efros
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
In Poster Session
Wenming Zheng · Zhouchen Lin
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Compositionality of optimal control laws
In Poster Session
Emanuel Todorov
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Filtering Abstract Senses From Image Search Results
In Poster Session
Kate Saenko · Trevor Darrell
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
In Poster Session
Sahand N Negahban · Pradeep Ravikumar · Martin J Wainwright · Bin Yu
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Unsupervised feature learning for audio classification using convolutional deep belief networks
In Poster Session
Honglak Lee · Peter Pham · Yan Largman · Andrew Y Ng
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Nonlinear directed acyclic structure learning with weakly additive noise models
In Poster Session
Robert E Tillman · Arthur Gretton · Peter Spirtes
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Subject independent EEG-based BCI decoding
In Poster Session
Siamac Fazli · Cristian Grozea · Márton Danóczy · Benjamin Blankertz · Florin Popescu · Klaus-Robert Müller
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Efficient Recovery of Jointly Sparse Vectors
In Poster Session
Liang Sun · Jun Liu · Jianhui Chen · Jieping Ye
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference
In Poster Session
Marius Leordeanu · Martial Hebert · Rahul Sukthankar
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
In Poster Session
Alexandre Bouchard-Côté · Slav Petrov · Dan Klein
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Learning to Explore and Exploit in POMDPs
In Poster Session
Chenghui Cai · Xuejun Liao · Lawrence Carin
[ PDF] 
Poster
Tue Dec 08 07:00 PM -- 11:59 PM (PST)
Speeding up Magnetic Resonance Image Acquisition by Bayesian Multi-Slice Adaptive Compressed Sensing
In Poster Session
Matthias Seeger
[ PDF] 
Demonstration
Tue Dec 08 07:30 PM -- 11:59 PM (PST)
Demonstrations
Session
Tue Dec 08 07:30 PM -- 11:59 PM (PST)
Poster Session
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Curious George: An Attentive Semantic Robotic Vision System
In Demonstrations
Ankur Gupta
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
An FPGA-based Multi-Algorithm Learning and Classification Engine
In Demonstrations
Hari Cadambi
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Robust Speaker Recognition Using Approximate Bayesian Inference
In Demonstrations
Ciira Maina
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Nengo: Large-Scale Integrated Neural Modeling
In Demonstrations
Chris Eliasmith
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Monte: An Interactive Ssytem for Massively Parallel Probabilistic Programming
In Demonstrations
Vikash Mansinghka
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Deformed Lattice Detection in Real-World Images Using a Novel Mean-Shift Belief
In Demonstrations
Minwoo Park
Demonstration
Wed Dec 09 12:00 AM -- 12:00 AM (PST)
Real-Time Adaptive Face Recognition
In Demonstrations
Branislav Kveton
Break
Wed Dec 09 07:30 AM -- 09:00 AM (PST) @ Regency Ballroom - Conference Level
Breakfast
Placeholder
Wed Dec 09 08:00 AM -- 06:00 PM (PST) @ Queen Charlotte, Oxford
Registration Desk, Internet Cafe
Invited Talk
Wed Dec 09 08:30 AM -- 09:30 AM (PST)
The Rat Vibrissal Array as a Model Sensorimotor System
In Oral Session 5: Neuroscience
Mitra Hartmann
Session
Wed Dec 09 08:30 AM -- 10:10 AM (PST)
Oral Session 5: Neuroscience
Tai Sing Lee
Oral
Wed Dec 09 09:30 AM -- 09:50 AM (PST)
Functional Network Reorganization In Motor Cortex Can Be Explained by Reward-Modulated Hebbian Learning
In Oral Session 5: Neuroscience
Robert Legenstein · Steven Chase · Andrew B Schwartz · Wolfgang Maass
Oral
Wed Dec 09 09:50 AM -- 10:10 AM (PST)
Know Thy Neighbour: A Normative Theory of Synaptic Depression
In Oral Session 5: Neuroscience
Jean-Pascal Pfister · Peter Dayan · Mate Lengyel
Break
Wed Dec 09 10:10 AM -- 10:40 AM (PST)
Break
Oral
Wed Dec 09 10:40 AM -- 11:00 AM (PST)
Efficient Learning using Forward-Backward Splitting
In Oral Session 6: Theory, Optimization and Games
John Duchi · Yoram Singer
Session
Wed Dec 09 10:40 AM -- 12:00 PM (PST)
Oral Session 6: Theory, Optimization and Games
Ben Taskar
Oral
Wed Dec 09 11:00 AM -- 11:20 AM (PST)
On Stochastic and Worst-case Models for Investing
In Oral Session 6: Theory, Optimization and Games
Elad Hazan · Satyen Kale
Oral
Wed Dec 09 11:20 AM -- 11:40 AM (PST)
Bootstrapping from Game Tree Search
In Oral Session 6: Theory, Optimization and Games
Joel Veness · David Silver · William Uther · Alan Blair
Oral
Wed Dec 09 11:40 AM -- 12:00 PM (PST)
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
In Oral Session 6: Theory, Optimization and Games
Bharath Sriperumbudur · Kenji Fukumizu · Arthur Gretton · Gert Lanckriet · Bernhard Schölkopf
Break
Wed Dec 09 12:00 PM -- 02:00 PM (PST)
Lunch Break
Invited Talk
Wed Dec 09 02:00 PM -- 03:00 PM (PST)
Learning and Inference in Low-Level Vision
In Oral session 7: Vision and Inference
Yair Weiss
Session
Wed Dec 09 02:00 PM -- 03:20 PM (PST)
Oral session 7: Vision and Inference
Antonio Torralba
Oral
Wed Dec 09 03:00 PM -- 03:20 PM (PST)
An LP View of the M-Best MAP Problem
In Oral session 7: Vision and Inference
Menachem Fromer · Amir Globerson
Session
Wed Dec 09 03:20 PM -- 03:40 PM (PST)
Spotlights
Spotlight
Wed Dec 09 03:23 PM -- 03:24 PM (PST)
Quantification and the language of thought
In Spotlights
Charles Kemp
Spotlight
Wed Dec 09 03:24 PM -- 03:25 PM (PST)
Fast Image Deconvolution using Hyper-Laplacian Priors
In Spotlights
Dilip Krishnan · Rob Fergus
Spotlight
Wed Dec 09 03:25 PM -- 03:26 PM (PST)
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
In Spotlights
Gideon S Mann · Ryan McDonald · Mehryar Mohri · Nathan Silberman · Dan Walker
Spotlight
Wed Dec 09 03:26 PM -- 03:27 PM (PST)
A Data-Driven Approach to Modeling Choice
In Spotlights
Vivek Farias · Srikanth Jagabathula · Devavrat Shah
Spotlight
Wed Dec 09 03:27 PM -- 03:28 PM (PST)
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
In Spotlights
Boaz Nadler · Nati Srebro · Xueyuan Zhou
Spotlight
Wed Dec 09 03:28 PM -- 03:29 PM (PST)
Region-based Segmentation and Object Detection
In Spotlights
Stephen Gould · Tianshi Gao · Daphne Koller
Spotlight
Wed Dec 09 03:29 PM -- 03:30 PM (PST)
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
In Spotlights
Manqi Zhao · Venkatesh Saligrama
Spotlight
Wed Dec 09 03:30 PM -- 03:31 PM (PST)
Adaptive Regularization of Weight Vectors
In Spotlights
Yacov Crammer · Alex Kulesza · Mark Dredze
Spotlight
Wed Dec 09 03:31 PM -- 03:32 PM (PST)
Adaptive Regularization for Transductive Support Vector Machine
In Spotlights
Zenglin Xu · Rong Jin · Jianke Zhu · Irwin King · Michael R Lyu · Zhirong Yang
Spotlight
Wed Dec 09 03:32 PM -- 03:33 PM (PST)
Variational Gaussian-process factor analysis for modeling spatio-temporal data
In Spotlights
Jaakko Luttinen · Alexander Ilin
Spotlight
Wed Dec 09 03:33 PM -- 03:34 PM (PST)
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
In Spotlights
Michael Mozer · Harold Pashler · Nicholas Cepeda · Robert Lindsey · Edward Vul
Spotlight
Wed Dec 09 03:34 PM -- 03:35 PM (PST)
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
In Spotlights
Xiao-Ming Wu · Anthony Man-Cho So · Zhenguo Li · Shuo-Yen Robert Li
Spotlight
Wed Dec 09 03:35 PM -- 03:36 PM (PST)
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
In Spotlights
Shuai Huang · Jing Li · Liang Sun · Jun Liu · Teresa Wu · Kewei Chen · Adam Fleisher · Eric Reiman · Jieping Ye
Break
Wed Dec 09 03:40 PM -- 04:10 PM (PST)
Break
Oral
Wed Dec 09 04:10 PM -- 04:30 PM (PST)
Reading Tea Leaves: How Humans Interpret Topic Models
In Oral session 8: Probabilistic Models and Kernels
Jonathan Chang · Jordan Boyd-Graber · Sean Gerrish · Chong Wang · David Blei
Session
Wed Dec 09 04:10 PM -- 05:10 PM (PST)
Oral session 8: Probabilistic Models and Kernels
Jon McAuliffe
Oral
Wed Dec 09 04:30 PM -- 04:50 PM (PST)
Sharing Features among Dynamical Systems with Beta Processes
In Oral session 8: Probabilistic Models and Kernels
Emily Fox · Erik Sudderth · Michael Jordan · Alan S Willsky
Oral
Wed Dec 09 04:50 PM -- 05:10 PM (PST)
Fast Subtree Kernels on Graphs
In Oral session 8: Probabilistic Models and Kernels
Nino Shervashidze · Karsten Borgwardt
Session
Wed Dec 09 05:10 PM -- 05:30 PM (PST)
Spotlights
Spotlight
Wed Dec 09 05:13 PM -- 05:14 PM (PST)
Tracking Dynamic Sources of Malicious Activity at Internet Scale
In Spotlights
Shobha Venkataraman · Avrim Blum · Dawn Song · Subhabrata Sen · Oliver Spatscheck
Spotlight
Wed Dec 09 05:14 PM -- 05:15 PM (PST)
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
In Spotlights
George Konidaris · Andrew G Barto
Spotlight
Wed Dec 09 05:15 PM -- 05:16 PM (PST)
Efficient Match Kernel between Sets of Features for Visual Recognition
In Spotlights
Liefeng Bo · Cristian Sminchisescu
Spotlight
Wed Dec 09 05:16 PM -- 05:17 PM (PST)
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
In Spotlights
Alyson Fletcher · Sundeep Rangan
Spotlight
Wed Dec 09 05:17 PM -- 05:18 PM (PST)
Learning to Hash with Binary Reconstructive Embeddings
In Spotlights
Brian Kulis · Trevor Darrell
Spotlight
Wed Dec 09 05:18 PM -- 05:19 PM (PST)
Perceptual Multistability as Markov Chain Monte Carlo Inference
In Spotlights
Samuel J Gershman · Edward Vul · Josh Tenenbaum
Spotlight
Wed Dec 09 05:19 PM -- 05:20 PM (PST)
Information-theoretic lower bounds on the oracle complexity of convex optimization
In Spotlights
Alekh Agarwal · Peter Bartlett · Pradeep Ravikumar · Martin J Wainwright
Spotlight
Wed Dec 09 05:20 PM -- 05:21 PM (PST)
Hierarchical Learning of Dimensional Biases in Human Categorization
In Spotlights
Katherine Heller · Adam Sanborn · Nick Chater
Spotlight
Wed Dec 09 05:21 PM -- 05:22 PM (PST)
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
In Spotlights
Garvesh Raskutti · Martin J Wainwright · Bin Yu
Spotlight
Wed Dec 09 05:22 PM -- 05:23 PM (PST)
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
In Spotlights
Lei ShiUpdateMe · Tom Griffiths
Spotlight
Wed Dec 09 05:23 PM -- 05:24 PM (PST)
Posterior vs Parameter Sparsity in Latent Variable Models
In Spotlights
Joao V Graca · Kuzman Ganchev · Ben Taskar · Fernando Pereira
Spotlight
Wed Dec 09 05:24 PM -- 05:25 PM (PST)
Structural inference affects depth perception in the context of potential occlusion
In Spotlights
Ian H Stevenson · Konrad Koerding
Spotlight
Wed Dec 09 05:25 PM -- 05:26 PM (PST)
Bilinear classifiers for visual recognition
In Spotlights
Hamed Pirsiavash · Deva Ramanan · Charless Fowlkes
Break
Wed Dec 09 05:30 PM -- 07:30 PM (PST)
Dinner Break
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory
In Poster Session
Michael Mozer · Harold Pashler · Nicholas Cepeda · Robert Lindsey · Edward Vul
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sharing Features among Dynamical Systems with Beta Processes
In Poster Session
Emily Fox · Erik Sudderth · Michael Jordan · Alan S Willsky
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Moments-based Permutation Tests
In Poster Session
Chunxiao Zhou · Huixia Judy Wang · Yongmei Michelle Wang
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming
In Poster Session
Xiao-Ming Wu · Anthony Man-Cho So · Zhenguo Li · Shuo-Yen Robert Li
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Localizing Bugs in Program Executions with Graphical Models
In Poster Session
Laura Dietz · Valentin Dallmeier · Andreas Zeller · Tobias Scheffer
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
An LP View of the M-best MAP problem
In Poster Session
Menachem Fromer · Amir Globerson
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Tracking Dynamic Sources of Malicious Activity at Internet Scale
In Poster Session
Shobha Venkataraman · Avrim Blum · Dawn Song · Subhabrata Sen · Oliver Spatscheck
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Skill Discovery in Continuous Reinforcement Learning Domains using Skill Chaining
In Poster Session
George Konidaris · Andrew G Barto
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
In Poster Session
Cosmin A Bejan · Matthew Titsworth · Andrew F Hickl · Sanda Harabagiu
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Who’s Doing What: Joint Modeling of Names and Verbs for Simultaneous Face and Pose Annotation
In Poster Session
Jie Luo · Barbara Caputo · Vittorio Ferrari
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Structural inference affects depth perception in the context of potential occlusion
In Poster Session
Ian H Stevenson · Konrad Koerding
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sparse Estimation Using General Likelihoods and Non-Factorial Priors
In Poster Session
David P Wipf · Sri Nagarajan
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Heterogeneous multitask learning with joint sparsity constraints
In Poster Session
Xiaolin Yang · Seyoung Kim · Eric Xing
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Information-theoretic lower bounds on the oracle complexity of convex optimization
In Poster Session
Alekh Agarwal · Peter Bartlett · Pradeep Ravikumar · Martin J Wainwright
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Maximin affinity learning of image segmentation
In Poster Session
Srinivas C Turaga · K Briggman · Moritz N Helmstaedter · Winfried Denk · H. Sebastian Seung
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning Label Embeddings for Nearest-Neighbor Multi-class Classification with an Application to Speech Recognition
In Poster Session
Natasha Singh-Miller · Michael Collins
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
In Poster Session
Gunhee Kim · Antonio Torralba
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Discrete MDL Predicts in Total Variation
In Poster Session
Marcus Hutter
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Exploring Functional Connectivities of the Human Brain using Multivariate Information Analysis
In Poster Session
Barry W Chai · Dirk B Walther · Diane M Beck · Fei-Fei Li
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Parameter-free Hedging Algorithm
In Poster Session
Kamalika Chaudhuri · Yoav Freund · Daniel Hsu
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism
In Poster Session
Aaron Courville · Douglas Eck · Yoshua Bengio
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Occlusive Components Analysis
In Poster Session
Jörg Lücke · Richard Turner · Maneesh Sahani · Marc Henniges
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bilinear classifiers for visual recognition
In Poster Session
Hamed Pirsiavash · Deva Ramanan · Charless Fowlkes
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Reading Tea Leaves: How Humans Interpret Topic Models
In Poster Session
Jonathan Chang · Jordan Boyd-Graber · Sean Gerrish · Chong Wang · David Blei
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
In Poster Session
Sanja Fidler · Marko Boben · Ales Leonardis
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Hierarchical Learning of Dimensional Biases in Human Categorization
In Poster Session
Katherine Heller · Adam Sanborn · Nick Chater
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
In Poster Session
Baback Moghaddam · Benjamin Marlin · Mohammad Emtiyaz Khan · Kevin Murphy
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Submanifold density estimation
In Poster Session
Arkadas Ozakin · Alexander Gray
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Quantification and the language of thought
In Poster Session
Charles Kemp
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Hierarchical Modeling of Local Image Features through $L_p$-Nested Symmetric Distributions
In Poster Session
Fabian H Sinz · Eero Simoncelli · Matthias Bethge
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
In Poster Session
Robert Legenstein · Steven Chase · Andrew B Schwartz · Wolfgang Maass
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Posterior vs Parameter Sparsity in Latent Variable Models
In Poster Session
Joao V Graca · Kuzman Ganchev · Ben Taskar · Fernando Pereira
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Neural Implementation of Hierarchical Bayesian Inference by Importance Sampling
In Poster Session
Lei ShiUpdateMe · Tom Griffiths
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sufficient Conditions for Agnostic Active Learnable
In Poster Session
Liwei Wang
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Neurometric function analysis of population codes
In Poster Session
Philipp Berens · Sebastian Gerwinn · Alexander S Ecker · Matthias Bethge
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Help or Hinder: Bayesian Models of Social Goal Inference
In Poster Session
Tomer D Ullman · Chris L Baker · Owen Macindoe · Owain Evans · Noah Goodman · Josh Tenenbaum
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Multi-Step Dyna Planning for Policy Evaluation and Control
In Poster Session
Hengshuai Yao · Richard Sutton · Shalabh Bhatnagar · Dongcui Diao · Csaba Szepesvari
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Potential-Based Agnostic Boosting
In Poster Session
Adam Kalai · Varun Kanade
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Sparse Metric Learning via Smooth Optimization
In Poster Session
Yiming Ying · Kaizhu Huang · Colin I Campbell
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models
In Poster Session
Gideon S Mann · Ryan McDonald · Mehryar Mohri · Nathan Silberman · Dan Walker
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Learning using Forward-Backward Splitting
In Poster Session
John Duchi · Yoram Singer
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bayesian Source Localization with the Multivariate Laplace Prior
In Poster Session
Marcel Van Gerven · Botond Cseke · Robert Oostenveld · Tom Heskes
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Manifold Regularization for SIR with Rate Root-n Convergence
In Poster Session
Wei Bian · Dacheng Tao
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
From PAC-Bayes Bounds to KL Regularization
In Poster Session
Pascal Germain · Alexandre Lacasse · Francois Laviolette · Mario Marchand · Sara Shanian
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Lower bounds on minimax rates for nonparametric regression with additive sparsity and smoothness
In Poster Session
Garvesh Raskutti · Martin J Wainwright · Bin Yu
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Time-rescaling methods for the estimation and assessment of non-Poisson neural encoding models
In Poster Session
Jonathan W Pillow
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Multi-Label Prediction via Sparse Infinite CCA
In Poster Session
Piyush Rai · Hal Daumé III
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation
In Poster Session
Lan Du · Lu Ren · David B Dunson · Lawrence Carin
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
On Stochastic and Worst-case Models for Investing
In Poster Session
Elad Hazan · Satyen Kale
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Ensemble Nystrom Method
In Poster Session
Sanjiv Kumar · Mehryar Mohri · Ameet S Talwalkar
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Modeling the spacing effect in sequential category learning
In Poster Session
HongJing Lu · Matthew Weiden · Alan Yuille
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Data-Driven Approach to Modeling Choice
In Poster Session
Vivek Farias · Srikanth Jagabathula · Devavrat Shah
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Fast Image Deconvolution using Hyper-Laplacian Priors
In Poster Session
Dilip Krishnan · Rob Fergus
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bootstrapping from Game Tree Search
In Poster Session
Joel Veness · David Silver · William Uther · Alan Blair
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
The Ordered Residual Kernel for Robust Motion Subspace Clustering
In Poster Session
Tat-Jun Chin · Hanzi Wang · David Suter
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bayesian Nonparametric Models on Decomposable Graphs
In Poster Session
Francois Caron · Arnaud Doucet
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data
In Poster Session
Boaz Nadler · Nati Srebro · Xueyuan Zhou
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Fast subtree kernels on graphs
In Poster Session
Nino Shervashidze · Karsten Borgwardt
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Anomaly Detection with Score functions based on Nearest Neighbor Graphs
In Poster Session
Manqi Zhao · Venkatesh Saligrama
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Statistical Consistency of Top-k Ranking
In Poster Session
fen xia · Tie-Yan Liu · Hang Li
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Region-based Segmentation and Object Detection
In Poster Session
Stephen Gould · Tianshi Gao · Daphne Koller
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Adaptive Regularization of Weight Vectors
In Poster Session
Yacov Crammer · Alex Kulesza · Mark Dredze
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Bayesian Belief Polarization
In Poster Session
Alan Jern · Kai-min K Chang · Charles Kemp
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Adaptive Regularization for Transductive Support Vector Machine
In Poster Session
Zenglin Xu · Rong Jin · Jianke Zhu · Irwin King · Michael R Lyu · Zhirong Yang
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Variational Gaussian-process factor analysis for modeling spatio-temporal data
In Poster Session
Jaakko Luttinen · Alexander Ilin
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Know Thy Neighbour: A Normative Theory of Synaptic Depression
In Poster Session
Jean-Pascal Pfister · Peter Dayan · Mate Lengyel
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning from Multiple Partially Observed Views - an Application to Multilingual Text Categorization
In Poster Session
Massih R Amini · Nicolas Usunier · Cyril Goutte
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data
In Poster Session
Shuai Huang · Jing Li · Liang Sun · Jun Liu · Teresa Wu · Kewei Chen · Adam Fleisher · Eric Reiman · Jieping Ye
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
A Game-Theoretic Approach to Hypergraph Clustering
In Poster Session
Samuel Rota Bulò · Marcello Pelillo
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Convex Relaxation of Mixture Regression with Efficient Algorithms
In Poster Session
Novi Quadrianto · Tiberio Caetano · John Lim · Dale Schuurmans
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
In Poster Session
Bharath Sriperumbudur · Kenji Fukumizu · Arthur Gretton · Gert Lanckriet · Bernhard Schölkopf
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Replicated Softmax: an Undirected Topic Model
In Poster Session
Russ Salakhutdinov · Geoffrey E Hinton
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Lattice Regression
In Poster Session
Eric K Garcia · Maya R Gupta
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning to Hash with Binary Reconstructive Embeddings
In Poster Session
Brian Kulis · Trevor Darrell
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Segmenting Scenes by Matching Image Composites
In Poster Session
Bryan C Russell · Alexei A Efros · Josef Sivic · Bill Freeman · Andrew Zisserman
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Efficient Match Kernel between Sets of Features for Visual Recognition
In Poster Session
Liefeng Bo · Cristian Sminchisescu
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks
In Poster Session
James Bergstra · Yoshua Bengio
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Complexity of Decentralized Control: Special Cases
In Poster Session
Martin Allen · Shlomo Zilberstein
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Perceptual Multistability as Markov Chain Monte Carlo Inference
In Poster Session
Samuel J Gershman · Edward Vul · Josh Tenenbaum
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis
In Poster Session
Alyson Fletcher · Sundeep Rangan
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Learning transport operators for image manifolds
In Poster Session
Jack Culpepper · Bruno Olshausen
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Kernel Methods for Deep Learning
In Poster Session
Youngmin Cho · Lawrence Saul
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Particle-based Variational Inference for Continuous Systems
In Poster Session
Alexander Ihler · Andrew Frank · Padhraic Smyth
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Canonical Time Warping for Alignment of Human Behavior
In Poster Session
Feng Zhou · Fernando D De la Torre
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs
In Poster Session
Andrew McCallum · Karl Schultz · Sameer Singh
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Approximating MAP by Compensating for Structural Relaxations
In Poster Session
Arthur Choi · Adnan Darwiche
[ PDF] 
Poster
Wed Dec 09 07:00 PM -- 11:59 PM (PST)
Strategy Grafting in Extensive Games
In Poster Session
Kevin G Waugh · Nolan Bard · Michael Bowling
[ PDF] 
Demonstration
Wed Dec 09 07:30 PM -- 11:59 PM (PST)
Demonstrations
Session
Wed Dec 09 07:30 PM -- 11:59 PM (PST)
Poster Session
Break
Thu Dec 10 07:30 AM -- 09:00 AM (PST) @ Regency A - Conference Level
Breakfast
Placeholder
Thu Dec 10 08:00 AM -- 11:00 AM (PST) @ Queen Charlotte
Registration Desk
Placeholder
Thu Dec 10 08:00 AM -- 12:00 PM (PST) @ Oxford
Internet Cafe
Invited Talk
Thu Dec 10 08:30 AM -- 09:30 AM (PST)
Bayesian Analysis of Markov Chains
In Oral session 9: Bayesian Analysis
Persi Diaconis
Session
Thu Dec 10 08:30 AM -- 09:50 AM (PST)
Oral session 9: Bayesian Analysis
Erik Sudderth
Oral
Thu Dec 10 09:30 AM -- 09:50 AM (PST)
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models
In Oral session 9: Bayesian Analysis
Baback Moghaddam · Benjamin Marlin · Mohammad Emtiyaz Khan · Kevin Murphy
Break
Thu Dec 10 09:50 AM -- 10:30 AM (PST)
Break
Oral
Thu Dec 10 10:30 AM -- 10:50 AM (PST)
Time-rescaling Methods for the Estimation and Assessment of Non-Poisson Neural Encoding Models
In Oral session 10: Neural Modeling and Imaging
Jonathan W Pillow
Session
Thu Dec 10 10:30 AM -- 11:50 AM (PST)
Oral session 10: Neural Modeling and Imaging
Arthur Gretton
Invited Talk
Thu Dec 10 10:50 AM -- 11:50 AM (PST)
Optogenetics: Development and Application
In Oral session 10: Neural Modeling and Imaging
Karl Deisseroth
Break
Thu Dec 10 11:50 AM -- 01:30 PM (PST)
Lunch Break
Mini Symposium
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Regency D
Machine Learning for Sustainability
In Mini Symposia
J. Zico Kolter · Thomas Dietterich · Andrew Y Ng
Mini Symposium
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Regency E/F
Partially Observable Reinforcement Learning
In Mini Symposia
Marcus Hutter · Will Uther · Pascal Poupart
Mini Symposium
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Regency A
Causality and Time Series Analysis
In Mini Symposia
Florin Popescu · Isabelle Guyon · Guido Nolte
Mini Symposium
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Regency B
Assistive Machine Learning for People with Disabilities
In Mini Symposia
Fernando Perez-Cruz · Emilio Parrado-Hernandez · David R Hardoon · Jaisiel Madrid-Sanchez
Mini Symposium
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Regency C
Machine Learning in Computational Biology
In Mini Symposia
Yanjun Qi · Jean-Philippe Vert · Gal Chechik · Alexander Zien · Tomer Hertz · William S Noble
Session
Thu Dec 10 01:30 PM -- 04:30 PM (PST) @ Hyatt Regency, Vancouver
Mini Symposia
Break
Thu Dec 10 02:50 PM -- 03:10 PM (PST)
Break
Placeholder
Thu Dec 10 05:00 PM -- 08:30 PM (PST) @ Westin Lobby, Whistler
Registration Desk
Placeholder
Thu Dec 10 09:30 PM -- 09:40 PM (PST) @ Emerald Ballroom, Westin, Whistler
Opening Remarks
Richard Zemel
Invited Talk
Thu Dec 10 09:40 PM -- 10:30 PM (PST) @ Westin: Emerald
Cognitive Dynamic Radio
Simon Haykin
Break
Fri Dec 11 06:30 AM -- 08:00 AM (PST) @ Westin Lobby, Whistler
Breakfast
Placeholder
Fri Dec 11 07:00 AM -- 11:00 AM (PST) @ Westin Lobby, Whistler
Registration Desk
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine DE
Machine Learning in Computational Biology
Gal Chechik · Tomer Hertz · William S Noble · Yanjun Qi · Jean-Philippe Vert · Alexander Zien
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Glacier
Statistical Machine Learning for Visual Analytics
Guy Lebanon · Fei Sha
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Cheakamus
Discrete Optimization in Machine Learning: Submodularity, Polyhedra and Sparsity
Andreas Krause · Pradeep Ravikumar · Jeffrey A Bilmes
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Emerald A
Adaptive Sensing, Active Learning, and Experimental Design
Rui M Castro · Nando de Freitas · Ruben Martinez-Cantin
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe B
Understanding Multiple Kernel Learning Methods
Brian McFee · Gert Lanckriet · Francis Bach · Nati Srebro
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine A
Normative electrophysiology: Explaining cellular properties of neurons from first principles
Jean-Pascal Pfister · Mate Lengyel
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie South
Clustering: Science or art? Towards principled approaches
Margareta Ackerman · Shai Ben-David · Avrim Blum · Isabelle Guyon · Ulrike von Luxburg · Robert Williamson · Reza Zadeh
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Nordic
Analyzing Networks and Learning With Graphs
Edo M Airoldi · Jure Leskovec · Jon Kleinberg · Josh Tenenbaum
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Callaghan
Applications for Topic Models: Text and Beyond
David Blei · Jordan Boyd-Graber · Jonathan Chang · Katherine Heller · Hanna Wallach
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie North
Large-Scale Machine Learning: Parallelism and Massive Datasets
Alexander Gray · Arthur Gretton · Alexander Smola · Joseph E Gonzalez · Carlos Guestrin
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine BC
Probabilistic Approaches for Control and Robotics
Marc Deisenroth · Hilbert J Kappen · Emo Todorov · Duy Nguyen-Tuong · Carl Edward Rasmussen · Jan Peters
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Black Tusk
The Curse of Dimensionality Problem: How Can the Brain Solve It?
Simon Haykin · Terrence Sejnowski · Steven W Zucker
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe A
Grammar Induction, Representation of Language and Language Learning
Alex Clark · Dorota Glowacka · John Shawe-Taylor · Yee Whye Teh · Chris J Watkins
Workshop
Fri Dec 11 07:30 AM -- 06:30 PM (PST) @ Hilton: Diamond Head
Advances in Ranking
Shivani Agarwal · Chris J Burges · Yacov Crammer
Break
Fri Dec 11 09:00 AM -- 09:30 AM (PST)
Coffee Break
Placeholder
Fri Dec 11 03:30 PM -- 06:45 PM (PST) @ Westin Lobby, Whistler
Registration Desk
Break
Fri Dec 11 05:00 PM -- 05:30 PM (PST)
Coffee Break
Break
Sat Dec 12 06:30 AM -- 08:00 AM (PST) @ Westin Lobby, Whistler
Breakfast
Placeholder
Sat Dec 12 07:00 AM -- 11:00 AM (PST) @ Westin Lobby, Whistler
Registration Desk
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Emerald A
Nonparametric Bayes
Dilan Gorur · Francois Caron · Yee Whye Teh · David B Dunson · Zoubin Ghahramani · Michael Jordan
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Callaghan
Transfer Learning for Structured Data
Sinno Jialin Pan · Ivor W Tsang · Le Song · Karsten Borgwardt · Qiang Yang
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Cheakamus
Deep Learning for Speech Recognition and Related Applications
Li Deng · Dong Yu · Geoffrey E Hinton
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie South
Manifolds, sparsity, and structured models: When can low-dimensional geometry really help?
Richard Baraniuk · Volkan Cevher · Mark A Davenport · Piotr Indyk · Bruno Olshausen · Michael B Wakin
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine A
Kernels for Multiple Outputs and Multi-task Learning: Frequentist and Bayesian Points of View
Mauricio A Alvarez · Lorenzo Rosasco · Neil D Lawrence
Workshop
Sat Dec 12 07:30 AM -- 10:00 PM (PST) @ Westin: Nordic
Connectivity Inference in Neuroimaging
Karl Friston · Moritz Grosse-Wentrup · Uta Noppeney · Bernhard Schölkopf
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine BC
Bounded-rational analyses of human cognition: Bayesian models, approximate inference, and the brain
Noah Goodman · Edward Vul · Tom Griffiths · Josh Tenenbaum
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie North
Approximate Learning of Large Scale Graphical Models
Russ Salakhutdinov · Amir Globerson · David Sontag
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Diamond Head
Learning with Orderings
Tiberio Caetano · Carlos Guestrin · Jonathan Huang · Risi Kondor · Guy Lebanon · Marina Meila
Workshop
Sat Dec 12 07:30 AM -- 07:00 PM (PST) @ Westin: Alpine DE
The Generative and Discriminative Learning Interface
Simon Lacoste-Julien · Percy Liang · Guillaume Bouchard
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Black Tusk
Analysis and Design of Algorithms for Interactive Machine Learning
Sumit Basu · Ashish Kapoor
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe B
Optimization for Machine Learning
Sebastian Nowozin · Suvrit Sra · S.V.N Vishwanthan · Stephen Wright
Workshop
Sat Dec 12 07:30 AM -- 06:45 PM (PST) @ Westin: Glacier
Temporal Segmentation: Perspectives from Statistics, Machine Learning, and Signal Processing
Stephane Canu · Olivier Cappé · Arthur Gretton · Zaid Harchaoui · Alain Rakotomamonjy · Jean-Philippe Vert
Workshop
Sat Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe A
Learning from Multiple Sources with Applications to Robotics
Barbara Caputo · Nicolò Cesa-Bianchi · David R Hardoon · Gayle Leen · Francesco Orabona · Jaakko Peltonen · Simon Rogers
Break
Sat Dec 12 09:00 AM -- 09:30 AM (PST)
Coffee Break
Placeholder
Sat Dec 12 03:30 PM -- 06:45 PM (PST) @ Westin Lobby, Vancouver
Registration Desk
Break
Sat Dec 12 05:00 PM -- 05:30 PM (PST)
Coffee Break
Session
Sat Dec 12 07:00 PM -- 10:00 PM (PST) @ Westin - Emerald Ballroom
Banquet