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