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Invited Talk
Tue Dec 05 08:30 AM -- 08:30 AM (PST)
Free Lunches: Insights from Behavioral Economics
Dan Ariely
Poster
Tue Dec 05 08:30 AM -- 12:00 PM (PST)
Multimodal Amharic Abusive Language Detection on Social media using Deep Learning Techniques
Seid Hassen Yesuf
Talk
Tue Dec 05 09:30 AM -- 09:30 AM (PST)
Combining causal and similarity-based reasoning
Charles Kemp · Patrick Shafto · Allison Berke · Josh Tenenbaum
Talk
Tue Dec 05 09:50 AM -- 09:50 AM (PST)
An Approach to Bounded Rationality
Eli Ben-Sasson · Adam T Kalai · Ehud Kalai
Spotlight
Tue Dec 05 10:10 AM -- 10:10 AM (PST)
Bayesian Policy Gradient Algorithms
Mohammad Ghavamzadeh · Yaakov Engel
Spotlight
Tue Dec 05 10:10 AM -- 10:10 AM (PST)
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time
Michael D Lee · Ian Fuss · Daniel Navarro
Spotlight
Tue Dec 05 10:10 AM -- 10:10 AM (PST)
Dirichlet-Enhanced Spam Filtering based on Biased Samples
Steffen Bickel · Tobias Scheffer
Spotlight
Tue Dec 05 10:10 AM -- 10:10 AM (PST)
Handling Advertisements of Unknown Quality in Search Advertising
Sandeep Pandey · Christopher Olston
Spotlight
Tue Dec 05 10:10 AM -- 10:10 AM (PST)
The Robustness-Performance Tradeoff in Markov Decision Processes
Huan Xu · Shie Mannor
Break
Tue Dec 05 10:20 AM -- 10:20 AM (PST)
Coffee Break
Talk
Tue Dec 05 10:50 AM -- 10:50 AM (PST)
Boosting Structured Prediction for Imitation Learning
Nathan D Ratliff · David M Bradley · Drew Bagnell · Joel Chestnutt
Talk
Tue Dec 05 11:10 AM -- 11:10 AM (PST)
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
Pieter Abbeel · Adam P Coates · Andrew Y Ng · Morgan Quigley
Talk
Tue Dec 05 11:30 AM -- 11:30 AM (PST)
Learning Motion Style Synthesis from Perceptual Observations
Lorenzo Torresani · Peggy Hackney · Christoph Bregler
Spotlight
Tue Dec 05 11:50 AM -- 11:50 AM (PST)
Modeling Human Motion Using Binary Latent Variables
Graham Taylor · Geoffrey E Hinton · Sam T Roweis
Spotlight
Tue Dec 05 11:50 AM -- 11:50 AM (PST)
Multiple timescales and uncertainty in motor adaptation
Konrad P Kording · Josh Tenenbaum · Reza Shadmehr
Spotlight
Tue Dec 05 11:50 AM -- 11:50 AM (PST)
Robotic Grasping of Novel Objects
Ashutosh Saxena · Justin Driemeyer · Justin Kearns · Andrew Y Ng
Break
Tue Dec 05 12:00 PM -- 02:00 PM (PST)
Lunch (2 hours)
Talk
Tue Dec 05 02:00 PM -- 02:00 PM (PST)
TrueSkill: A Bayesian Skill Rating System
Ralf Herbrich · Tom Minka · Thore K Graepel
Talk
Tue Dec 05 02:20 PM -- 02:20 PM (PST)
A Scalable Machine Learning Approach to Go
Lin Wu · Pierre Baldi
Talk
Tue Dec 05 02:40 PM -- 02:40 PM (PST)
Map-Reduce for Machine Learning on Multicore
Cheng-Tao Chu · Sang Kyun Kim · Yi-An Lin · YuanYuan Yu · Gary R Bradski · Andrew Y Ng · Kunle Olukotun
Talk
Tue Dec 05 03:00 PM -- 03:00 PM (PST)
No-regret algorithms for Online Convex Programs
Geoffrey Gordon
Spotlight
Tue Dec 05 03:20 PM -- 03:20 PM (PST)
Convex Repeated Games and Fenchel Duality
Shai Shalev-Shwartz · Yoram Singer
Spotlight
Tue Dec 05 03:20 PM -- 03:20 PM (PST)
Support Vector Machines on a Budget
Ofer Dekel · Yoram Singer
Spotlight
Tue Dec 05 03:20 PM -- 03:20 PM (PST)
Prediction on a Graph with a Perceptron
Mark Herbster · Massimiliano Pontil
Break
Tue Dec 05 03:30 PM -- 03:30 PM (PST)
Coffee Break
Talk
Tue Dec 05 04:00 PM -- 04:00 PM (PST)
Learning annotated hierarchies from relational data
Daniel Roy · Charles Kemp · Vikash Mansinghka · Josh Tenenbaum
Talk
Tue Dec 05 04:20 PM -- 04:20 PM (PST)
Greedy Layer-Wise Training of Deep Networks
Yoshua Bengio · Pascal Lamblin · Dan Popovici · Hugo Larochelle
Talk
Tue Dec 05 04:40 PM -- 04:40 PM (PST)
A Kernel Method for the Two-Sample-Problem
Arthur Gretton · Karsten Borgwardt · Malte J Rasch · Bernhard Schölkopf · Alexander Smola
Spotlight
Tue Dec 05 05:00 PM -- 05:00 PM (PST)
Correcting Sample Selection Bias by Unlabeled Data
Jiayuan Huang · Alexander Smola · Arthur Gretton · Karsten Borgwardt · Bernhard Schölkopf
Spotlight
Tue Dec 05 05:00 PM -- 05:00 PM (PST)
Using Combinatorial Optimization within Max-Product Belief Propagation
John Duchi · Danny Tarlow · Gal Elidan · Daphne Koller
Spotlight
Tue Dec 05 05:00 PM -- 05:00 PM (PST)
Inferring Graphical Model Structure using $\ell_1$-Regularized Pseudo-Likelihood
Martin J Wainwright · Pradeep Ravikumar · John Lafferty
Spotlight
Tue Dec 05 05:00 PM -- 05:00 PM (PST)
Modeling Dyadic Data with Binary Latent Features
Ted Meeds · Zoubin Ghahramani · Radford M Neal · Sam T Roweis
Spotlight
Tue Dec 05 05:00 PM -- 05:00 PM (PST)
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
David Barber · Silvia Chiappa
Spotlight
Tue Dec 05 05:00 PM -- 05:00 PM (PST)
Accelerated Variational Dirichlet Process Mixtures
Kenichi Kurihara · Max Welling · Nikos Vlassis
Spotlight
Tue Dec 05 05:00 PM -- 05:00 PM (PST)
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
Alexandre Lacasse · Francois Laviolette · Mario Marchand · Pascal Germain · Nicolas Usunier
Demonstration
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Demonstrations
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Simplifying Mixture Models through Function Approximation
In Poster Session
Kai Zhang · James T Kwok
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
The Neurodynamics of Belief Propagation on Binary Markov Random Fields
In Poster Session
Thomas Ott · Ruedi Stoop
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Optimal Single-Class Classification Strategies
In Poster Session
Ran El-Yaniv · Mordechai Nisenson
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Learning Motion Style Synthesis from Perceptual Observations
In Poster Session
Lorenzo Torresani · Peggy Hackney · Christoph Bregler
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space
In Poster Session
Wenye Li · Kin-Hong Lee · Kwong-Sak Leung
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Denoising and Dimension Reduction in Feature Space
In Poster Session
Mikio L Braun · Joachim M Buhmann · Klaus-Robert Müller
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Tighter PAC-Bayes Bounds
In Poster Session
Amiran Ambroladze · Emilio Parrado-Hernandez · John Shawe-Taylor
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Handling Advertisements of Unknown Quality in Search Advertising
In Poster Session
Sandeep Pandey · Christopher Olston
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models
In Poster Session
Sathiya Selvaraj Keerthi · Vikas Sindhwani · Olivier Chapelle
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems
In Poster Session
Yoshinobu Kawahara · Takehisa Yairi · Kazuo Machida
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Mixture Regression for Covariate Shift
In Poster Session
Amos Storkey · Masashi Sugiyama
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Inducing Metric Violations in Human Similarity Judgements
In Poster Session
Julian Laub · Jakob H Macke · Klaus-Robert Müller · Felix A Wichmann
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time
In Poster Session
Michael D Lee · Ian Fuss · Daniel Navarro
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Support Vector Machines on a Budget
In Poster Session
Ofer Dekel · Yoram Singer
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Convex Repeated Games and Fenchel Duality
In Poster Session
Shai Shalev-Shwartz · Yoram Singer
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Doubly Stochastic Normalization for Spectral Clustering
In Poster Session
Ron Zass · Amnon Shashua
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
A Scalable Machine Learning Approach to Go
In Poster Session
Lin Wu · Pierre Baldi
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Accelerated Variational Dirichlet Process Mixtures
In Poster Session
Kenichi Kurihara · Max Welling · Nikos Vlassis
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation
In Poster Session
Gavin Cawley · Nicola Talbot · Mark A Girolami
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Robotic Grasping of Novel Objects
In Poster Session
Ashutosh Saxena · Justin Driemeyer · Justin Kearns · Andrew Y Ng
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Predicting spike times from subthreshold dynamics of a neuron
In Poster Session
Ryota Kobayashi · Shigeru Shinomoto
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Fundamental Limitations of Spectral Clustering Methods
In Poster Session
Boaz Nadler · Meirav Galun
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Combining causal and similarity-based reasoning
In Poster Session
Charles Kemp · Patrick Shafto · Allison Berke · Josh Tenenbaum
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Multiple timescales and uncertainty in motor adaptation
In Poster Session
Konrad P Kording · Josh Tenenbaum · Reza Shadmehr
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Mod
In Poster Session
Mark Johnson · Tom Griffiths · Sharon Goldwater
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
MLLE: Modified Locally Linear Embedding Using Multiple Weights
In Poster Session
Jing Wang · Zhenyue Zhang
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Learning from Multiple Sources
In Poster Session
Yacov Crammer · Michael Kearns · Jennifer Wortman Vaughan
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Sample Complexity of Policy Search with Known Dynamics
In Poster Session
Peter Bartlett · Ambuj Tewari
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
In Poster Session
Stefan Klampfl · Robert Legenstein · Wolfgang Maass
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Aggregating Classification Accuracy through Time - Classifying Single Trial EEG
In Poster Session
Steven Lemm · Christin Schäfer · Gabriel Curio
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
No-regret algorithms for Online Convex Programs
In Poster Session
Geoffrey Gordon
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Online Clustering of Moving Subspaces
In Poster Session
René Vidal
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular St
In Poster Session
Oliver Williams
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Temporal Coding using the Response Properties of Spiking Neurons
In Poster Session
Thomas Voegtlin
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds
In Poster Session
Gloria Haro · Gregory Randall · Guillermo Sapiro
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Using Combinatorial Optimization within Max-Product Belief Propagation
In Poster Session
John Duchi · Danny Tarlow · Gal Elidan · Daphne Koller
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Bayesian Policy Gradient Algorithms
In Poster Session
Mohammad Ghavamzadeh · Yaakov Engel
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Correcting Sample Selection Bias by Unlabeled Data
In Poster Session
Jiayuan Huang · Alexander Smola · Arthur Gretton · Karsten Borgwardt · Bernhard Schölkopf
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
In Poster Session
Alexandre Lacasse · Francois Laviolette · Mario Marchand · Pascal Germain · Nicolas Usunier
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Fast Iterative Kernel PCA
In Poster Session
Nic Schraudolph · Simon Günter · Vishwanathan S V N
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Inferring Graphical Model Structure using $\ell_1$-Regularized Pseudo-Likelihood
In Poster Session
Martin J Wainwright · Pradeep Ravikumar · John Lafferty
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
In Poster Session
Pieter Abbeel · Adam P Coates · Andrew Y Ng · Morgan Quigley
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Part-based Probabilistic Point Matching using Equivalence Constraints
In Poster Session
Graham McNeill · Sethu Vijayakumar
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Analysis of Representations for Domain Adaptation
In Poster Session
John Blitzer · Shai Ben-David · Yacov Crammer · Fernando Pereira
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Greedy Layer-Wise Training of Deep Networks
In Poster Session
Yoshua Bengio · Pascal Lamblin · Dan Popovici · Hugo Larochelle
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts
In Poster Session
Hariharan Narayanan · Mikhail Belkin · Partha Niyogi
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Map-Reduce for Machine Learning on Multicore
In Poster Session
Cheng-Tao Chu · Sang Kyun Kim · Yi-An Lin · YuanYuan Yu · Gary R Bradski · Andrew Y Ng · Kunle Olukotun
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Prediction on a Graph with a Perceptron
In Poster Session
Mark Herbster · Massimiliano Pontil
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Randomized Clustering Forests for Building Fast and Discriminative Visual Vocabularies
In Poster Session
Frank Moosmann · Bill Triggs · FREDERIC JURIE
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Modeling Human Motion Using Binary Latent Variables
In Poster Session
Graham Taylor · Geoffrey E Hinton · Sam T Roweis
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Modeling Dyadic Data with Binary Latent Features
In Poster Session
Ted Meeds · Zoubin Ghahramani · Radford M Neal · Sam T Roweis
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Boosting Structured Prediction for Imitation Learning
In Poster Session
Nathan D Ratliff · David M Bradley · Drew Bagnell · Joel Chestnutt
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
TrueSkill: A Bayesian Skill Rating System
In Poster Session
Ralf Herbrich · Tom Minka · Thore K Graepel
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees
In Poster Session
Konrad Rieck · Pavel Laskov · Soeren Sonnenburg
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Learning Time-Intensity Profiles of Human Activity using Non-Parametric Bayesian Models
In Poster Session
Alexander Ihler · Padhraic Smyth
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
A selective attention multi--chip system with dynamic synapses and spiking neurons
In Poster Session
Chiara Bartolozzi · Giacomo Indiveri
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Multiple Instance Learning for Computer Aided Diagnosis
In Poster Session
Glenn Fung · Murat Dundar · Balaji R Krishnapuram · R. Bharat Rao
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
A Kernel Method for the Two-Sample-Problem
In Poster Session
Arthur Gretton · Karsten Borgwardt · Malte J Rasch · Bernhard Schölkopf · Alexander Smola
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets
In Poster Session
Jerónimo Arenas-García · Kaare Brandt Petersen · Lars K Hansen
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
The Robustness-Performance Tradeoff in Markov Decision Processes
In Poster Session
Huan Xu · Shie Mannor
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Learning annotated hierarchies from relational data
In Poster Session
Daniel Roy · Charles Kemp · Vikash Mansinghka · Josh Tenenbaum
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
In Poster Session
David Barber · Silvia Chiappa
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Information Bottleneck for Non Co-Occurrence Data
In Poster Session
Yevgeny Seldin · Noam Slonim · Naftali Tishby
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
Dirichlet-Enhanced Spam Filtering based on Biased Samples
In Poster Session
Steffen Bickel · Tobias Scheffer
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
An Approach to Bounded Rationality
In Poster Session
Eli Ben-Sasson · Adam T Kalai · Ehud Kalai
Poster
Tue Dec 05 07:30 PM -- 12:00 AM (PST)
“I Searched for a Religious Song in Amharic and Got Sexual Content Instead”: Investigating Online Harm in Low-Resourced Languages on YouTube.
Hellina Hailu Nigatu