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Tutorial
Mon Dec 08 09:30 AM -- 11:30 AM (PST) @ Regency E/F
Compressed Sensing
Emmanuel Candes
Tutorial
Mon Dec 08 09:30 AM -- 11:30 AM (PST) @ Regency D
Prequential Analysis
Philip Dawid
Tutorial
Mon Dec 08 01:00 PM -- 03:00 PM (PST) @ Regency D
The Neurobiology of Decision Making
Michael N Shadlen
Tutorial
Mon Dec 08 01:00 PM -- 03:00 PM (PST) @ Regency E/F
Agnostic Learning: Algorithms and Theory
Adam T Kalai
Tutorial
Mon Dec 08 03:30 PM -- 05:30 PM (PST) @ Regency E/F
Statistical Models of Visual Images
Eero Simoncelli
Tutorial
Mon Dec 08 03:30 PM -- 05:30 PM (PST) @ Regency D
The Smoothed Analysis of Algorithms
Daniel A Spielman
Break
Mon Dec 8th 06:30 - 07:30 PM @ None
Opening Banquet
Oral
Mon Dec 08 07:45 PM -- 08:05 PM (PST)
Measures of Clustering Quality: A Working Set of Axioms for Clustering
Shai Ben-David · Margareta Ackerman
Session
Mon Dec 08 07:45 PM -- 08:25 PM (PST)
Oral session 1: Clustering
Fei Sha
Oral
Mon Dec 08 08:05 PM -- 08:25 PM (PST)
Influence of graph construction on graph-based clustering measures
Markus M Maier · Ulrike von Luxburg · Matthias Hein
Session
Mon Dec 08 08:25 PM -- 08:45 PM (PST)
Spotlights
Spotlight
Mon Dec 08 08:25 PM -- 08:26 PM (PST)
On the Reliability of Clustering Stability in the Large Sample Regime
Ohad Shamir · Naftali Tishby
Spotlight
Mon Dec 08 08:26 PM -- 08:27 PM (PST)
Spectral Clustering with Perturbed Data
Ling Huang · Donghui Yan · Michael Jordan · Nina Taft
Spotlight
Mon Dec 08 08:27 PM -- 08:28 PM (PST)
A "Shape Aware'' Model for semi-supervised Learning of Objects and its Context
Abhinav Gupta · Jianbo Shi · Larry Davis
Spotlight
Mon Dec 08 08:28 PM -- 08:29 PM (PST)
One sketch for all: Theory and Application of Conditional Random Sampling
Ping Li · Kenneth W Church · Trevor Hastie
Spotlight
Mon Dec 08 08:29 PM -- 08:30 PM (PST)
Gates
Tom Minka · John Winn
Spotlight
Mon Dec 08 08:30 PM -- 08:31 PM (PST)
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
Deepak Agarwal · Liang Zhang
Spotlight
Mon Dec 08 08:31 PM -- 08:32 PM (PST)
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Indraneel Mukherjee · David Blei
Spotlight
Mon Dec 08 08:32 PM -- 08:33 PM (PST)
Efficient Inference in Phylogenetic InDel Trees
Alexandre Bouchard-Côté · Michael Jordan · Dan Klein
Spotlight
Mon Dec 08 08:33 PM -- 08:34 PM (PST)
Large Margin Taxonomy Embedding for Document Categorization
Kilian Q Weinberger · Olivier Chapelle
Spotlight
Mon Dec 08 08:34 PM -- 08:35 PM (PST)
Analyzing the Monotonic Feature Abstraction for Text Classification
Doug Downey · Oren Etzioni
Spotlight
Mon Dec 08 08:35 PM -- 08:36 PM (PST)
Syntactic Topic Models
Jordan Boyd-Graber · David Blei
Spotlight
Mon Dec 08 08:36 PM -- 08:37 PM (PST)
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization
Liu Yang · Rong Jin · Rahul Sukthankar
Spotlight
Mon Dec 08 08:37 PM -- 08:38 PM (PST)
Unsupervised Learning of Visual Sense Models for Polysemous Words
Kate Saenko · Trevor Darrell
Spotlight
Mon Dec 08 08:38 PM -- 08:39 PM (PST)
Deep Learning with Kernel Regularization for Visual Recognition
Kai Yu · Wei Xu · Yihong Gong
Spotlight
Mon Dec 08 08:39 PM -- 08:40 PM (PST)
Evaluating probabilities under high-dimensional latent variable models
Iain Murray · Russ Salakhutdinov
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Rademacher Complexity Bounds for Non-I.I.D. Processes
Mehryar Mohri · Afshin Rostamizadeh
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Theory of matching pursuit
Zakria Hussain · John Shawe-Taylor
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Integrating Locally Learned Causal Structures with Overlapping Variables
Robert E Tillman · David Danks · Clark Glymour
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Regularized Learning with Networks of Features
Ted Sandler · John Blitzer · Partha P Talukdar · Lyle Ungar
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Implicit Mixtures of Restricted Boltzmann Machines
Vinod Nair · Geoffrey E Hinton
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning
Chunhua Shen · Alan Welsh · Lei Wang
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Diffeomorphic Dimensionality Reduction
Christian Walder · Bernhard Schölkopf
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Ben Calderhead · Mark A Girolami · Neil D Lawrence
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Finding Latent Causes in Causal Networks: an Efficient Approach Based on Markov Blankets
Jean-Philippe Pellet · Andre Elisseeff
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Convergence and Rate of Convergence of A Manifold-Based Dimension Reduction
Andrew Smith · Xiaoming Huo · Hongyuan Zha
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing
Moritz Grosse-Wentrup
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Multi-stage Convex Relaxation for Learning with Sparse Regularization
Tong Zhang
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation
Dotan Di Castro · Dima Volkinshtein · Ron Meir
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons
Adam Ponzi · Jeff Wickens
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
Byron M Yu · John P Cunningham · Gopal Santhanam · Stephen I Ryu · Krishna V Shenoy · Maneesh Sahani
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Hierarchical Fisher Kernels for Longitudinal Data
Zhengdong Lu · Todd K Leen · Jeffrey Kaye
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
One sketch for all: Theory and Application of Conditional Random Sampling
Ping Li · Kenneth W Church · Trevor Hastie
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization
Liu Yang · Rong Jin · Rahul Sukthankar
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Unsupervised Bayesian Parameter Estimation for Probabilistic Grammars
Shay Cohen · Kevin Gimpel · Noah A Smith
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Spectral Clustering with Perturbed Data
Ling Huang · Donghui Yan · Michael Jordan · Nina Taft
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Short-Term Depression in VLSI Stochastic Synapse
Peng Xu · Timothy K Horiuchi · Pamela A Abshire
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Multiscale Random Fields with Application to Contour Grouping
Longin Jan J Latecki · ChengEn Lu · Marc J Sobel · Xiang Bai
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
On the equivalence between TD learning and differential Hebbian learning using a local third factor
Christoph Kolodziejski · Bernd Porr · Minija Tamosiunaite · Florentin Woergoetter
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method
Dongryeol Lee · Alexander Gray
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Structured ranking learning using cumulative distribution networks
Jim C Huang · Brendan J Frey
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
An Homotopy Algorithm for the Lasso with Online Observations
Pierre Garrigues · Laurent El Ghaoui
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Self-organization using dynamical synapses
Vicenç Gómez · Andreas Kaltenbrunner · Vicente López · Hilbert J Kappen
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection
Takafumi Kanamori · Shohei Hido · Masashi Sugiyama
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
An ideal observer model of infant object perception
Charles Kemp · Fei Xu
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Tracking Changing Stimuli in Continuous Attractor Neural Networks
Chi Chung Fung · K. Y. Michael Wong · Si Wu
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Robust Near-Isometric Matching via Structured Learning of Graphical Models
Julian J McAuley · Tiberio Caetano · Alexander Smola
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Large Margin Taxonomy Embedding for Document Categorization
Kilian Q Weinberger · Olivier Chapelle
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Estimating vector fields using sparse basis field expansions
Stefan Haufe · Vadim Nikulin · Andreas Ziehe · Klaus-Robert Müller · Guido Nolte
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Influence of graph construction on graph-based clustering measures
Markus M Maier · Ulrike von Luxburg · Matthias Hein
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Measures of Clustering Quality: A Working Set of Axioms for Clustering
Shai Ben-David · Margareta Ackerman
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Fast Computation of Posterior Mode in Multi-Level Hierarchical Models
Deepak Agarwal · Liang Zhang
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Gates
Tom Minka · John Winn
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Deep Learning with Kernel Regularization for Visual Recognition
Kai Yu · Wei Xu · Yihong Gong
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Unsupervised Learning of Visual Sense Models for Polysemous Words
Kate Saenko · Trevor Darrell
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
Abhinav Gupta · Jianbo Shi · Larry Davis
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering
Dilan Gorur · Yee Whye Teh
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Evaluating probabilities under high-dimensional latent variable models
Iain Murray · Russ Salakhutdinov
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Privacy-preserving logistic regression
Kamalika Chaudhuri · Claire Monteleoni
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Bounding Performance Loss in Approximate MDP Homomorphisms
Doina Precup · Jonathan Taylor Taylor · Prakash Panangaden
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Analyzing the Monotonic Feature Abstraction for Text Classification
Doug Downey · Oren Etzioni
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Nonparametric Bayesian Sparse Hierarchical Factor Modeling and Regression
Piyush Rai · Hal Daumé III
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
On the Reliability of Clustering Stability in the Large Sample Regime
Ohad Shamir · Naftali Tishby
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Efficient Inference in Phylogenetic InDel Trees
Alexandre Bouchard-Côté · Michael Jordan · Dan Klein
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
Indraneel Mukherjee · David Blei
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Overlaying classifiers: a practical approach for optimal ranking
Stephan Clémençon · Nicolas Vayatis
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Counting Solution Clusters Using Belief Propagation
Lukas Kroc · Ashish Sabharwal · Bart Selman
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Risk Bounds for Randomized Sample Compressed Classifiers
Mohak Shah
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Spectral Hashing
Yair Weiss · Antonio Torralba · Rob Fergus
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Goal-directed decision making in prefrontal cortex: a computational framework
Matthew Botvinick · James An
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Clustering via LP-based Stabilities
Nikos Komodakis · Nikos Paragios · Georgios Tziritas
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Transfer Learning by Distribution Matching for Targeted Advertising
Steffen Bickel · Christoph Sawade · Tobias Scheffer
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Mortal Multi-Armed Bandits
Filip Radlinski · Deepayan Chakrabarti · Ravi Kumar · Eli Upfal
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Syntactic Topic Models
Jordan Boyd-Graber · David Blei
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Designing neurophysiology experiments to optimally constrain receptive field models along parametric
Jeremy Lewi · Robert Butera · Liam M Paninski
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Predictive Indexing for Fast Search
Sharad Goel · John Langford · Alexander L Strehl
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Kernel Change-point Analysis
Zaid Harchaoui · Francis Bach · Eric Moulines
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Marek Petrik · Bruno Scherrer
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Sparsity of SVMs that use the epsilon-insensitive loss
Ingo Steinwart · Andreas Christmann
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
On-Line Prediction on Large Diameter Graphs
Mark Herbster · Massimiliano Pontil · Guy Lever
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Cyclizing Clusters via Zeta Function of a Graph
Deli Zhao · Xiaoou Tang
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Competing RBM density models for classification of fMRI images
Tanya Schmah · Geoffrey E Hinton · Richard Zemel
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
An empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
Gabriele B Schweikert · Christian Widmer · Bernhard Schölkopf · Gunnar Rätsch
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
Sham M Kakade · Karthik Sridharan · Ambuj Tewari
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Non-stationary dynamic Bayesian networks
Joshua W Robinson · Alexander J Hartemink
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Bayesian Model of Behaviour in Economic Games
Debajyoti Ray · Brooks King-Casas · P. Read Montague · Peter Dayan
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Model Selection in Gaussian Graphical Models: High-Dimensional Consistency of \ell_1-regularizedMLE
Pradeep Ravikumar · Garvesh Raskutti · Martin J Wainwright · Bin Yu
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Skill Characterization Based on Betweenness
Özgür Şimşek · Andrew G Barto
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Hierarchical Conditional Random Fields for Recursive Sequential Data
The Truyen Tran · Dinh Q Phung · Hung H Bui · Svetha Venkatesh
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Local Gaussian Process Regression for Real Time Online Model Learning
Duy Nguyen-Tuong · Matthias Seeger · Jan Peters
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Temporal Dynamics of Cognitive Control
Jeremy Reynolds · Michael Mozer
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Hebbian Learning of Bayes Optimal Decisions
Bernhard Nessler · Michael Pfeiffer · Wolfgang Maass
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Regularized Co-Clustering with Dual Supervision
Vikas Sindhwani · Jianying Hu · Aleksandra Mojsilovic
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl
Juan Huo · Zhijun Yang · Alan F Murray
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
MDPs with Non-Deterministic Policies
Mahdi Milani Fard · Joelle Pineau
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
LOOPS: Localizing Object Outlines using Probabilistic Shape
Geremy Heitz · Gal Elidan · Benjamin D Packer · Daphne Koller
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
A Convergent O(n) Temporal-difference Algorithm for Off-policy Learning with Linear Function Approxi
Richard Sutton · Csaba Szepesvari · Hamid R Maei
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
(Not) Sparse Coding
Drew Bagnell · David M Bradley
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Supervised Exponential Family Principal Component Analysis via Convex Optimizatio
Yuhong Guo
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Learning Taxonomies by Dependence Maximization
Matthew B Blaschko · Arthur Gretton
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
SDL: Supervised Dictionary Learning
Julien Mairal · Francis Bach · Jean A Ponce · Guillermo Sapiro · Andrew Zisserman
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Adaptive Template Matching with Shift-Invariant Semi-NMF
Jonathan Le Roux · Alain de Cheveigné · Lucas C Parra
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Estimation of Information Theoretic Measures for Continuous Random Variables
Fernando Perez-Cruz
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Modeling human function learning with Gaussian processes
Tom Griffiths · Chris Lucas · Joseph Jay Williams · Michael Kalish
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Particle Filter-based Policy Gradient in POMDPs
Pierre-Arnaud Coquelin · Romain Deguest · Remi Munos
Poster
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Generative and Discriminative Learning with Unknown Labeling Bias
Miroslav Dudik · Steven Phillips
Session
Mon Dec 08 08:45 PM -- 12:00 AM (PST)
Posters
Invited Talk
Tue Dec 09 08:30 AM -- 09:30 AM (PST)
Computations in Human Sensorimotor Control
Daniel M Wolpert
Session
Tue Dec 09 08:30 AM -- 09:50 AM (PST)
Oral session 2: Sensorimotor Control
Arthur Gretton
Oral
Tue Dec 09 09:30 AM -- 09:50 AM (PST)
Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control
Lavi Shpigelman · Hagai Lalazar · Eilon Vaadia
Session
Tue Dec 09 09:50 AM -- 10:00 AM (PST)
Spotlights
Spotlight
Tue Dec 09 09:50 AM -- 09:51 AM (PST)
Unifying the Sensory and Motor Components of Sensorimotor Adaptation
Adrian M Haith · Carl Jackson · R Chris Miall · Sethu Vijayakumar
Spotlight
Tue Dec 09 09:51 AM -- 09:52 AM (PST)
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
Jeremy Hill · Jason Farquhar · Suzanne Martens · Felix Bießmann · Bernhard Schölkopf
Spotlight
Tue Dec 09 09:52 AM -- 09:53 AM (PST)
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
Matthias Seeger · Hannes Nickisch · Rolf Pohmann · Bernhard Schölkopf
Spotlight
Tue Dec 09 09:53 AM -- 09:54 AM (PST)
How memory biases affect information transmission: A rational analysis of serial reproduction
Jing Xu · Tom Griffiths
Spotlight
Tue Dec 09 09:55 AM -- 09:56 AM (PST)
A rational model of preference learning and choice prediction by children
Chris Lucas · Tom Griffiths · Fei Xu · Christine Fawcett
Spotlight
Tue Dec 09 09:56 AM -- 09:57 AM (PST)
Optimal Response Initiation: Why Recent Experience Matters
Matt Jones · Michael Mozer · Sachiko Kinoshita
Spotlight
Tue Dec 09 09:57 AM -- 09:58 AM (PST)
Analyzing human feature learning as nonparametric Bayesian inference
Joseph L Austerweil · Tom Griffiths
Spotlight
Tue Dec 09 09:58 AM -- 09:59 AM (PST)
A Massively Parallel Digital Learning Processor
Hans Peter Graf · Hari Cadambi · Igor Durdanovic · Venkata Jakkula · Murugan Sankaradass · Eric Cosatto · Srimat Chakradhar
Spotlight
Tue Dec 09 09:59 AM -- 10:00 AM (PST)
Predicting the Geometry of Metal Binding Sites from Protein Sequence
Paolo Frasconi · Andrea Passerini
Break
Tue Dec 9th 10:00 - 10:30 AM @ None
Break
Oral
Tue Dec 09 10:30 AM -- 10:50 AM (PST)
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning
Gediminas Luksys · Carmen Sandi · Wulfram Gerstner
Session
Tue Dec 09 10:30 AM -- 11:50 AM (PST)
Oral session 3: Learning from Reinforcement: Modeling and Control
Michael Bowling
Oral
Tue Dec 09 10:50 AM -- 11:10 AM (PST)
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
Michael Todd · Yael Niv · Jonathan D Cohen
Oral
Tue Dec 09 11:10 AM -- 11:30 AM (PST)
Simple Local Models for Complex Dynamical Systems
Erik Talvitie · Satinder Singh
Oral
Tue Dec 09 11:30 AM -- 11:50 AM (PST)
Policy Search for Motor Primitives in Robotics
Jens Kober · Jan Peters
Session
Tue Dec 09 11:50 AM -- 12:00 PM (PST)
Spotlights
Spotlight
Tue Dec 09 11:50 AM -- 11:51 AM (PST)
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
Kian Ming A Chai · Chris Williams · Stefan Klanke · Sethu Vijayakumar
Spotlight
Tue Dec 09 11:51 AM -- 11:52 AM (PST)
Multi-resolution Exploration in Continuous Spaces
Ali Nouri · Michael L Littman
Spotlight
Tue Dec 09 11:52 AM -- 11:53 AM (PST)
Multi-Agent Filtering with Infinitely Nested Beliefs
Luke Zettlemoyer · Brian Milch · Leslie Kaelbling
Spotlight
Tue Dec 09 11:53 AM -- 11:54 AM (PST)
Fitted Q-iteration by Advantage Weighted Regression
Gerhard Neumann · Jan Peters
Spotlight
Tue Dec 09 11:54 AM -- 11:55 AM (PST)
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
John W Roberts · Russ Tedrake
Spotlight
Tue Dec 09 11:55 AM -- 11:56 AM (PST)
Optimization on a Budget: A Reinforcement Learning Approach
Paul L Ruvolo · Ian R Fasel · javier r movellan
Spotlight
Tue Dec 09 11:56 AM -- 11:57 AM (PST)
Near-optimal Regret Bounds for Reinforcement Learning
Peter Auer · Thomas Jaksch · Ronald Ortner
Spotlight
Tue Dec 09 11:57 AM -- 11:58 AM (PST)
Algorithms for Infinitely Many-Armed Bandits
Yizao Wang · Jean-Yves Audibert · Remi Munos
Spotlight
Tue Dec 09 11:58 AM -- 11:59 AM (PST)
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
Shai Shalev-Shwartz · Sham M Kakade
Spotlight
Tue Dec 09 11:59 AM -- 12:00 PM (PST)
An Online Algorithm for Maximizing Submodular Functions
Matthew Streeter · Daniel Golovin
Break
Tue Dec 9th 12:00 - 02:00 PM @ None
Lunch
Invited Talk
Tue Dec 09 02:00 PM -- 03:00 PM (PST)
Online Stochastic Combinatorial Optimization
Pascal van Hentenryck
Session
Tue Dec 09 02:00 PM -- 03:20 PM (PST)
Oral session 4: Combinatorial Approximation
Erik Sudderth
Oral
Tue Dec 09 03:00 PM -- 03:20 PM (PST)
MAS: a multiplicative approximation scheme for probabilistic inference
Ydo Wexler · Christopher Meek
Session
Tue Dec 09 03:20 PM -- 03:30 PM (PST)
Spotlights
Spotlight
Tue Dec 09 03:20 PM -- 03:21 PM (PST)
Clusters and Coarse Partitions in LP Relaxations
David Sontag · Amir Globerson · Tommi Jaakkola
Spotlight
Tue Dec 09 03:21 PM -- 03:22 PM (PST)
Improved Moves for Truncated Convex Models
Pawan K Mudigonda · Philip Torr
Spotlight
Tue Dec 09 03:22 PM -- 03:23 PM (PST)
Learning Bounded Treewidth Bayesian Networks
Gal Elidan · Stephen Gould
Spotlight
Tue Dec 09 03:23 PM -- 03:24 PM (PST)
Bayesian Network Score Approximation using a Metagraph Kernel
Benjamin Yackley · Eduardo Corona · Terran Lane
Spotlight
Tue Dec 09 03:24 PM -- 03:25 PM (PST)
Near-minimax recursive density estimation on the binary hypercube
Maxim Raginsky · Svetlana Lazebnik · Rebecca Willett · Jorge G Silva
Spotlight
Tue Dec 09 03:25 PM -- 03:26 PM (PST)
Bounds on marginal probability distributions
Joris M Mooij · Hilbert J Kappen
Spotlight
Tue Dec 09 03:26 PM -- 03:27 PM (PST)
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Zhihua Zhang · Michael Jordan · Dit-Yan Yeung
Spotlight
Tue Dec 09 03:27 PM -- 03:28 PM (PST)
Improving on Expectation Propagation
Manfred Opper · Ulrich Paquet · Ole Winther
Spotlight
Tue Dec 09 03:28 PM -- 03:29 PM (PST)
The Gaussian Process Density Sampler
Ryan Adams · Iain Murray · David MacKay
Spotlight
Tue Dec 09 03:29 PM -- 03:30 PM (PST)
Efficient Sampling for Gaussian Process Inference using Control Variables
Michalis Titsias · Neil D Lawrence · Magnus Rattray
Break
Tue Dec 9th 03:30 - 04:00 PM @ None
Break
Oral
Tue Dec 09 04:00 PM -- 04:20 PM (PST)
Online Metric Learning and Fast Similarity Search
Prateek Jain · Brian Kulis · Inderjit S Dhillon · Kristen Grauman
Session
Tue Dec 09 04:00 PM -- 05:20 PM (PST)
Oral session 5: Fast Output Processing, Novelty Detection and Unlabeled Data
Paolo Frasconi
Oral
Tue Dec 09 04:20 PM -- 04:40 PM (PST)
Fast Prediction on a Tree
Mark Herbster · Massimiliano Pontil · Sergio Rojas Galeano
Oral
Tue Dec 09 04:40 PM -- 05:00 PM (PST)
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Daphna Weinshall · Hynek Hermansky · Alon Zweig · Jie Luo · Holly B Jimison · Frank W Ohl · Misha Pavel
Oral
Tue Dec 09 05:00 PM -- 05:20 PM (PST)
Unlabeled data: Now it helps, now it doesn't
Aarti Singh · Rob Nowak · Jerry Zhu
Session
Tue Dec 09 05:20 PM -- 05:30 PM (PST)
Spotlights
Spotlight
Tue Dec 09 05:20 PM -- 05:21 PM (PST)
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
Massih R Amini · Nicolas Usunier · Francois Laviolette
Spotlight
Tue Dec 09 05:21 PM -- 05:22 PM (PST)
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
Hamed Masnadi-Shirazi · Nuno Vasconcelos
Spotlight
Tue Dec 09 05:22 PM -- 05:23 PM (PST)
Adaptive Martingale Boosting
Phil Long · Rocco A Servedio
Spotlight
Tue Dec 09 05:23 PM -- 05:24 PM (PST)
On the Generalization Ability of Online Strongly Convex Programming Algorithms
Sham M Kakade · Ambuj Tewari
Spotlight
Tue Dec 09 05:24 PM -- 05:25 PM (PST)
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
ali rahimi · Benjamin Recht
Spotlight
Tue Dec 09 05:25 PM -- 05:26 PM (PST)
Sparse Online Learning via Truncated Gradient
John Langford · Lihong Li · Tong Zhang
Spotlight
Tue Dec 09 05:26 PM -- 05:27 PM (PST)
On the Efficient Minimization of Classification Calibrated Surrogates
Richard Nock · Frank NIELSEN
Spotlight
Tue Dec 09 05:27 PM -- 05:28 PM (PST)
Exact Convex Confidence-Weighted Learning
Yacov Crammer · Mark Dredze · Fernando Pereira
Spotlight
Tue Dec 09 05:28 PM -- 05:29 PM (PST)
Breaking Audio CAPTCHAs with Machine Learning Techniques
Jennifer Tam · Jiri Simsa · Sean Hyde · Luis von Ahn
Spotlight
Tue Dec 09 05:29 PM -- 05:30 PM (PST)
Nonlinear causal discovery with additive noise models
Patrik O Hoyer · Dominik Janzing · Joris M Mooij · Jonas Peters · Bernhard Schölkopf
Spotlight
Tue Dec 09 05:30 PM -- 05:31 PM (PST)
Sequential effects: Superstition or rational behavior?
Angela Yu · Jonathan D Cohen
Break
Tue Dec 9th 06:00 - 08:00 PM @ None
Dinner
Demonstration
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A Pencil Balancing Robot Using Only Spike-based Visual Input
Jorg Conradt · Patrick Lichtsteiner · Raphael Berner · Tobi Delbruck · Rodney J. Douglas · Matthew Cook
Demonstration
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Demonstrations
Demonstration
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
High-Accuracy 3D Sensing for Mobile Manipulators
Stephen Gould · Morgan Quigley · Siddarth Batra · Ellen Klingbiel · Quoc V Le · Andrew Y Ng
Demonstration
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Vision Toolkit Based on Hierarchical Temporal Memory
Dileep George · Jeff Edwards · Jamie Niemasik · Ron Marianetti · Bill Saphir · Subutai Ahmad
Demonstration
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Play Brain-Pong in 10 Minutes
Cristian Grozea · Siamac Fazli · Márton Danóczy · Florin Popescu
Demonstration
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Worio: A Web-Scale Machine Learning System
Nando de Freitas · Ali Davar
Demonstration
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
MLPACK: Scalable Machine Learning Software
Alexander Gray
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Improved Moves for Truncated Convex Models
Pawan K Mudigonda · Philip Torr
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Exact Convex Confidence-Weighted Learning
Yacov Crammer · Mark Dredze · Fernando Pereira
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Optimal Response Initiation: Why Recent Experience Matters
Matt Jones · Michael Mozer · Sachiko Kinoshita
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Adaptive Martingale Boosting
Phil Long · Rocco A Servedio
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Mind the Duality Gap: Logarithmic regret algorithms for online optimization
Shai Shalev-Shwartz · Sham M Kakade
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Learning Bounded Treewidth Bayesian Networks
Gal Elidan · Stephen Gould
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
The Gaussian Process Density Sampler
Ryan Adams · Iain Murray · David MacKay
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Nonlinear causal discovery with additive noise models
Patrik O Hoyer · Dominik Janzing · Joris M Mooij · Jonas Peters · Bernhard Schölkopf
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
How memory biases affect information transmission: A rational analysis of serial reproduction
Jing Xu · Tom Griffiths
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
On the Generalization Ability of Online Strongly Convex Programming Algorithms
Sham M Kakade · Ambuj Tewari
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Near-minimax recursive density estimation on the binary hypercube
Maxim Raginsky · Svetlana Lazebnik · Rebecca Willett · Jorge G Silva
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Multi-task Gaussian Process Learning of Robot Inverse Dynamics
Kian Ming A Chai · Chris Williams · Stefan Klanke · Sethu Vijayakumar
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Breaking Audio CAPTCHAs with Machine Learning Techniques
Jennifer Tam · Jiri Simsa · Sean Hyde · Luis von Ahn
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Analyzing human feature learning as nonparametric Bayesian inference
Joseph L Austerweil · Tom Griffiths
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Unifying the Sensory and Motor Components of Sensorimotor Adaptation
Adrian M Haith · Carl Jackson · R Chris Miall · Sethu Vijayakumar
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Sequential effects: Superstition or rational behavior?
Angela Yu · Jonathan D Cohen
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A rational model of preference learning and choice prediction by children
Chris Lucas · Tom Griffiths · Fei Xu · Christine Fawcett
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
An Online Algorithm for Maximizing Submodular Functions
Matthew Streeter · Daniel Golovin
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Bayesian Network Score Approximation using a Metagraph Kernel
Benjamin Yackley · Eduardo Corona · Terran Lane
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Multi-Agent Filtering with Infinitely Nested Beliefs
Luke Zettlemoyer · Brian Milch · Leslie Kaelbling
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Predicting the Geometry of Metal Binding Sites from Protein Sequence
Paolo Frasconi · Andrea Passerini
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Policy Search for Motor Primitives in Robotics
Jens Kober · Jan Peters
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Daphna Weinshall · Hynek Hermansky · Alon Zweig · Jie Luo · Holly B Jimison · Frank W Ohl · Misha Pavel
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Simple Local Models for Complex Dynamical Systems
Erik Talvitie · Satinder Singh
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Fast Prediction on a Tree
Mark Herbster · Massimiliano Pontil · Sergio Rojas Galeano
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Unlabeled data: Now it helps, now it doesn't
Aarti Singh · Rob Nowak · Jerry Zhu
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Natural Image Denoising with Convolutional Networks
Viren Jain · H. Sebastian Seung
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Online Metric Learning and Fast Similarity Search
Prateek Jain · Brian Kulis · Inderjit S Dhillon · Kristen Grauman
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Dimensionality Reduction for Data in Multiple Feature Representations
Yen-Yu Lin · Tyng-Luh Liu · Chiou-Shann Fuh
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Dependent Dirichlet Process Spike Sorting
Jan Gasthaus · Frank Wood · Dilan Gorur · Yee Whye Teh
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Linear Classification and Selective Sampling Under Low Noise Conditions
Giovanni Cavallanti · Nicolò Cesa-Bianchi · Claudio Gentile
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Partially Observed Maximum Entropy Discrimination Markov Networks
Jun Zhu · Eric Xing · Bo Zhang
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Correlated Bigram LSA for Unsupervised Language Model Adaptation
Yik-Cheung Tam · Tanja Schultz
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A Bayesian Approach for Extracting State Transition Dynamics from Multiple Spike Trains
Kentaro Katahira · Jun Nishikawa · Kazuo Okanoya · Masato Okada
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
Tae-Kyun Kim · Roberto Cipolla
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Grouping Contours Via a Related Image
Praveen Srinivasan · Liming Wang · Jianbo Shi
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Structure Learning in Human Sequential Decision-Making
Daniel Acuna · Paul R Schrater
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification
Simon Lacoste-Julien · Fei Sha · Michael Jordan
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Resolution Limits of Sparse Coding in High Dimensions
Alyson Fletcher · Sundeep Rangan · Vivek K Goyal
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Suppport Vector Machines with a Reject Option
Yves Grandvalet · Joseph Keshet · Alain Rakotomamonjy · Stephane Canu
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A Scalable Hierarchical Distributed Language Model
Andriy Mnih · Geoffrey E Hinton
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Depression: an RL formulation and a behavioural test
Quentin J Huys · Joshua T Vogelstein · Peter Dayan
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Probabilistic detection of short events, with application to critical care monitoring
Norm Aleks · Stuart J Russell · Michael G Madden · Diane Morabito · Geoffrey T Manley · Kristan Staudenmayer · Mitchell Cohen
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Regularized Policy Iteration
Amir-massoud Farahmand · Mohammad Ghavamzadeh · Csaba Szepesvari · Shie Mannor
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
Yi Zhang · Jeff Schneider · Artur Dubrawski
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Learning Hybrid Models for Image Annotation with Partially Labeled Data
Xuming He · Richard Zemel
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
The Recurrent Temporal Restricted Boltzmann Machine
Ilya Sutskever · Geoffrey E Hinton · Graham W Taylor
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Playing Pinball with non-invasive BCI
Michael W Tangermann (ne Schröder) · Matthias Krauledat · Konrad Grzeska · Max Sagebaum · Benjamin Blankertz · Klaus-Robert Müller
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A mixture model for the evolution of gene expression in non-homogeneous datasets
Gerald Quon · Yee Whye Teh · Esther Chan · Michael Brudno · Tim Hughes · Quaid Morris
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
On Bootstrapping the ROC Curve
Patrice Bertail · Stephan Clémençon · Nicolas Vayatis
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Tighter Bounds for Structured Estimation
Olivier Chapelle · Chuong B Do · Quoc V Le · Alexander Smola · Choon Hui Teo
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
Francis Bach
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A Transductive Bound for the Voted Classifier with an Application to Semi-supervised Learning
Massih R Amini · Nicolas Usunier · Francois Laviolette
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Efficient Exact Inference in Planar Ising Models
Nicol Schraudolph · Dmitry Kamenetsky
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Reconciling Real Scores with Binary Comparisons: A Unified Logistic Model for Ranking
Nir Ailon
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
From Online to Batch Learning with Cutoff-Averaging
Ofer Dekel
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1
Klaus Wimmer · Marcel Stimberg · Robert Martin · Lars Schwabe · Jorge Mariño · James Schummers · David C. Lyon · Mriganka Sur · Klaus H Obermayer
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
An Extended Level Method for Efficient Multiple Kernel Learning
Zenglin Xu · Rong Jin · Irwin King · Michael Lyu
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
MAS: a multiplicative approximation scheme for probabilistic inference
Ydo Wexler · Christopher Meek
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Improving on Expectation Propagation
Manfred Opper · Ulrich Paquet · Ole Winther
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Clusters and Coarse Partitions in LP Relaxations
David Sontag · Amir Globerson · Tommi Jaakkola
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Bounds on marginal probability distributions
Joris M Mooij · Hilbert J Kappen
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning
ali rahimi · Benjamin Recht
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Multi-resolution Exploration in Continuous Spaces
Ali Nouri · Michael L Littman
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control
Lavi Shpigelman · Hagai Lalazar · Eilon Vaadia
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
John W Roberts · Russ Tedrake
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
A Massively Parallel Digital Learning Processor
Hans Peter Graf · Hari Cadambi · Igor Durdanovic · Venkata Jakkula · Murugan Sankaradass · Eric Cosatto · Srimat Chakradhar
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Efficient Sampling for Gaussian Process Inference using Control Variables
Michalis Titsias · Neil D Lawrence · Magnus Rattray
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
Jeremy Hill · Jason Farquhar · Suzanne Martens · Felix Bießmann · Bernhard Schölkopf
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Fitted Q-iteration by Advantage Weighted Regression
Gerhard Neumann · Jan Peters
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Near-optimal Regret Bounds for Reinforcement Learning
Peter Auer · Thomas Jaksch · Ronald Ortner
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning
Gediminas Luksys · Carmen Sandi · Wulfram Gerstner
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
On the Efficient Minimization of Classification Calibrated Surrogates
Richard Nock · Frank NIELSEN
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement
Michael Todd · Yael Niv · Jonathan D Cohen
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Sparse Online Learning via Truncated Gradient
John Langford · Lihong Li · Tong Zhang
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences
Matthias Seeger · Hannes Nickisch · Rolf Pohmann · Bernhard Schölkopf
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost
Hamed Masnadi-Shirazi · Nuno Vasconcelos
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice
Zhihua Zhang · Michael Jordan · Dit-Yan Yeung
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Algorithms for Infinitely Many-Armed Bandits
Yizao Wang · Jean-Yves Audibert · Remi Munos
Poster
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Optimization on a Budget: A Reinforcement Learning Approach
Paul L Ruvolo · Ian R Fasel · javier r movellan
Session
Tue Dec 09 07:30 PM -- 12:00 AM (PST)
Posters
Invited Talk
Wed Dec 10 08:30 AM -- 09:30 AM (PST)
Connectome: the quest to deconstruct the brain
H. Sebastian Seung
Session
Wed Dec 10 08:30 AM -- 09:50 AM (PST)
Oral session 6: Neural Coding
Yacov Crammer
Oral
Wed Dec 10 09:30 AM -- 09:50 AM (PST)
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex
Arno Onken · Steffen Grünewälder · Matthias Munk · Klaus H Obermayer
Session
Wed Dec 10 09:50 AM -- 10:00 AM (PST)
Spotlights
Spotlight
Wed Dec 10 09:50 AM -- 09:51 AM (PST)
Characterizing neural dependencies with Poisson copula models
Pietro Berkes · Frank Wood · Jonathan W Pillow
Spotlight
Wed Dec 10 09:51 AM -- 09:52 AM (PST)
A general framework for investigating how far the decoding process in the brain can be simplified
Masafumi Oizumi · Toshiyuki Ishii · Kazuya Ishibashi · Toshihiko Hosoya · Masato Okada
Spotlight
Wed Dec 10 09:52 AM -- 09:53 AM (PST)
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
David P Wipf · Julia Owen · Hagai Attias · Kensuke Sekihara · Sri Nagarajan
Spotlight
Wed Dec 10 09:53 AM -- 09:54 AM (PST)
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
Pradeep Ravikumar · Vincent Vu · Bin Yu · Thomas Naselaris · Kendrick Kay · Jack Gallant
Spotlight
Wed Dec 10 09:54 AM -- 09:55 AM (PST)
Artificial Olfactory Brain for Mixture Identification
Mehmet K Muezzinoglu · Alexander Vergara · Ramon Huerta · Thomas Nowotny · Nikolai Rulkov · Henry Abarbanel · Allen Selverston · Mikhail Rabinovich
Spotlight
Wed Dec 10 09:55 AM -- 09:56 AM (PST)
An Algorithm for Microchip Spike Sorting
Zhi Yang · Wentai Liu
Spotlight
Wed Dec 10 09:56 AM -- 09:57 AM (PST)
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Fabian H Sinz · Matthias Bethge
Spotlight
Wed Dec 10 09:57 AM -- 09:58 AM (PST)
An improved estimator of Variance Explained in the presence of noise
Ralf Haefner · Bruce Cumming
Spotlight
Wed Dec 10 09:58 AM -- 09:59 AM (PST)
Interpreting the neural code with Formal Concept Analysis
Dominik M Endres · Peter Foldiak
Spotlight
Wed Dec 10 09:59 AM -- 10:00 AM (PST)
Dynamic Visual Attention: Searching for coding length increments
Xiaodi Hou · Liqing Zhang
Break
Wed Dec 10th 10:00 - 10:30 AM @ None
Break
Oral
Wed Dec 10 10:30 AM -- 10:50 AM (PST)
Modeling the effects of memory on human online sentence processing with particle filters
Roger Levy · Florencia Reali · Tom Griffiths
Session
Wed Dec 10 10:30 AM -- 11:50 AM (PST)
Oral session 7: Complex Dynamical Systems: Modeling and Estimation
David J Fleet
Oral
Wed Dec 10 10:50 AM -- 11:10 AM (PST)
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen · Lars Buesing · Robert Legenstein
Oral
Wed Dec 10 11:10 AM -- 11:30 AM (PST)
Nonrigid Structure from Motion in Trajectory Space
Ijaz Akhter · Yaser Sheikh · Sohaib Khan · Takeo Kanade
Oral
Wed Dec 10 11:30 AM -- 11:50 AM (PST)
Model selection and velocity estimation using novel priors for motion patterns
Alan L Yuille · Shuang Wu · HongJing Lu
Session
Wed Dec 10 11:50 AM -- 12:00 PM (PST)
Spotlights
Spotlight
Wed Dec 10 11:50 AM -- 11:51 AM (PST)
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves · Jürgen Schmidhuber
Spotlight
Wed Dec 10 11:51 AM -- 11:52 AM (PST)
A Hierarchical Image Model for Polynomial-Time 2D Parsing
Long Zhu · Yuanhao Chen · Yuan Lin · Alan L Yuille
Spotlight
Wed Dec 10 11:52 AM -- 11:53 AM (PST)
Learning a discriminative hidden part model for human action recognition
Yang Wang · Greg Mori
Spotlight
Wed Dec 10 11:53 AM -- 11:54 AM (PST)
Learning Transformational Invariants from Time-Varying Natural Images
Charles Cadieu · Bruno Olshausen
Spotlight
Wed Dec 10 11:54 AM -- 11:55 AM (PST)
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
Emily Fox · Erik Sudderth · Michael Jordan · Alan S Willsky
Spotlight
Wed Dec 10 11:55 AM -- 11:56 AM (PST)
The Infinite Factorial Hidden Markov Model
Jurgen Van Gael · Yee Whye Teh · Zoubin Ghahramani
Spotlight
Wed Dec 10 11:56 AM -- 11:57 AM (PST)
Mixed Membership Stochastic Blockmodels
Edo M Airoldi · David Blei · Stephen E Fienberg · Eric Xing
Spotlight
Wed Dec 10 11:57 AM -- 11:58 AM (PST)
Supervised Bipartite Graph Inference
Yoshihiro Yamanishi
Spotlight
Wed Dec 10 11:58 AM -- 11:59 AM (PST)
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Shenghuo Zhu · Kai Yu · Yihong Gong
Spotlight
Wed Dec 10 11:59 AM -- 12:00 PM (PST)
Using matrices to model symbolic relationship
Ilya Sutskever · Geoffrey E Hinton
Break
Wed Dec 10th 12:00 - 02:00 PM @ None
Lunch
Invited Talk
Wed Dec 10 02:00 PM -- 03:00 PM (PST)
Machine Learning in High Energy Physics
Harrison B Prosper
Session
Wed Dec 10 02:00 PM -- 03:20 PM (PST)
Oral session 8: Physics and High Order Statistics
Tony Jebara
Oral
Wed Dec 10 03:00 PM -- 03:20 PM (PST)
Characteristic Kernels on Groups and Semigroups
Kenji Fukumizu · Bharath Sriperumbudur · Arthur Gretton · Bernhard Schölkopf
Session
Wed Dec 10 03:20 PM -- 03:30 PM (PST)
Spotlights
Spotlight
Wed Dec 10 03:20 PM -- 03:21 PM (PST)
Kernel Measures of Independence for non-iid Data
Xinhua Zhang · Le Song · Arthur Gretton · Alexander Smola
Spotlight
Wed Dec 10 03:21 PM -- 03:22 PM (PST)
Multi-label Multiple Kernel Learning
Shuiwang Ji · Liang Sun · Rong Jin · Jieping Ye
Spotlight
Wed Dec 10 03:22 PM -- 03:23 PM (PST)
Scalable Algorithms for String Kernels with Inexact Matching
Pavel Kuksa · Pai-Hsi Huang · Vladimir Pavlovic
Spotlight
Wed Dec 10 03:23 PM -- 03:24 PM (PST)
Kernelized Sorting
Novi Quadrianto · Le Song · Alexander Smola
Spotlight
Wed Dec 10 03:24 PM -- 03:25 PM (PST)
Learning with Consistency between Inductive Functions and Kernels
Haixuan Yang · Irwin King · Michael Lyu
Spotlight
Wed Dec 10 03:25 PM -- 03:26 PM (PST)
Performance analysis for L_2 kernel classification
JooSeuk Kim · Clayton Scott
Spotlight
Wed Dec 10 03:26 PM -- 03:27 PM (PST)
Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob · Francis Bach · Jean-Philippe Vert
Spotlight
Wed Dec 10 03:27 PM -- 03:28 PM (PST)
Domain Adaptation with Multiple Sources
Yishay Mansour · Mehryar Mohri · Afshin Rostamizadeh
Spotlight
Wed Dec 10 03:28 PM -- 03:29 PM (PST)
Phase transitions for high-dimensional joint support recovery
Sahand N Negahban · Martin J Wainwright
Spotlight
Wed Dec 10 03:29 PM -- 03:30 PM (PST)
Translated Learning
Wenyuan Dai · Yuqiang Chen · Gui-Rong Xue · Qiang Yang · Yong Yu
Break
Wed Dec 10th 03:30 - 04:00 PM @ None
Break
Oral
Wed Dec 10 04:00 PM -- 04:20 PM (PST)
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
Tong Zhang
Session
Wed Dec 10 04:00 PM -- 05:20 PM (PST)
Oral session 9: Sparse Learning and Ranking
Jean-Yves Audibert
Oral
Wed Dec 10 04:20 PM -- 04:40 PM (PST)
An interior-point stochastic approximation method and an L1-regularized delta rule
Peter Carbonetto · Mark Schmidt · Nando de Freitas
Oral
Wed Dec 10 04:40 PM -- 05:00 PM (PST)
Global Ranking Using Continuous Conditional Random Fields
Tao Qin · Tie-Yan Liu · Xu-Dong Zhang · De-Sheng Wang · Hang Li
Oral
Wed Dec 10 05:00 PM -- 05:20 PM (PST)
Inferring rankings under constrained sensing
Srikanth Jagabathula · Devavrat Shah
Session
Wed Dec 10 05:20 PM -- 05:30 PM (PST)
Spotlights
Spotlight
Wed Dec 10 05:20 PM -- 05:21 PM (PST)
Nonparametric regression and classification with joint sparsity constraints
Han Liu · John Lafferty · Larry Wasserman
Spotlight
Wed Dec 10 05:21 PM -- 05:22 PM (PST)
Robust Regression and Lasso
Huan Xu · Constantine Caramanis · Shie Mannor
Spotlight
Wed Dec 10 05:22 PM -- 05:23 PM (PST)
High-dimensional union support recovery in multivariate regression
Guillaume R Obozinski · Martin J Wainwright · Michael Jordan
Spotlight
Wed Dec 10 05:23 PM -- 05:24 PM (PST)
Sparse Signal Recovery Using Markov Random Fields
Volkan Cevher · Marco F Duarte · Chinmay Hegde · Richard Baraniuk
Spotlight
Wed Dec 10 05:24 PM -- 05:25 PM (PST)
Sparse probabilistic projections
Cedric Archambeau · Francis Bach
Spotlight
Wed Dec 10 05:25 PM -- 05:26 PM (PST)
Deflation Methods for Sparse PCA
Lester W Mackey
Spotlight
Wed Dec 10 05:26 PM -- 05:27 PM (PST)
Robust Kernel Principal Component Analysis
Minh Hoai Nguyen · Fernando D De la Torre
Spotlight
Wed Dec 10 05:27 PM -- 05:28 PM (PST)
Bayesian Exponential Family PCA
Shakir Mohamed · Katherine Heller · Zoubin Ghahramani
Spotlight
Wed Dec 10 05:28 PM -- 05:29 PM (PST)
ICA based on a Smooth Estimation of the Differential Entropy
Lev Faivishevsky · Jacob Goldberger
Spotlight
Wed Dec 10 05:29 PM -- 05:30 PM (PST)
Localized Sliced Inverse Regression
Qiang Wu · Sayan Mukherjee · Feng Liang
Break
Wed Dec 10th 06:00 - 08:00 PM @ None
Dinner
Demonstration
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Visualizing NIPS Cooperations using Multiple Maps t-SNE
Laurens van der Maaten · Geoffrey E Hinton
Demonstration
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Demonstrations
Demonstration
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Real-time Topology Learning
Kynan Eng · Tobi Delbruck · Matthias Schrag · Martin Boerlin
Demonstration
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Infer.NET: Software for Graphical Models
Tom Minka · John Winn · John P Guiver · Anitha Kannan
Demonstration
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
RL-Glue: From Grid Worlds to Sensor Rich Robots
Brian Tanner · Adam M White · Richard Sutton
Demonstration
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
The Chiara: A New Robotic Platform for Education and Research
David S Touretzky · Ethan Tira-Thompson · Gaku Sato · David P. Rice
Demonstration
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Machine Perception for Human Machine Interaction
Paul L Ruvolo · Marian S Bartlett · Nicholas J Butko · Claudia Lainscsek · Gwendolen C Littlewort · Jacob Whitehill · Tingfan Wu · javier r movellan
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Global Ranking Using Continuous Conditional Random Fields
Tao Qin · Tie-Yan Liu · Xu-Dong Zhang · De-Sheng Wang · Hang Li
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Nonrigid Structure from Motion in Trajectory Space
Ijaz Akhter · Yaser Sheikh · Sohaib Khan · Takeo Kanade
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Multi-Level Active Prediction of Useful Image Annotations for Recognition
Sudheendra N Vijayanarasimhan · Kristen Grauman
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
The Mondrian Process
Daniel Roy · Yee Whye Teh
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Inferring rankings under constrained sensing
Srikanth Jagabathula · Devavrat Shah
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Model selection and velocity estimation using novel priors for motion patterns
Alan L Yuille · Shuang Wu · HongJing Lu
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
Erik Sudderth · Michael Jordan
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Variational Mixture of Gaussian Process Experts
Chao Yuan · Claus Neubauer
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Sparse Convolved Gaussian Processes for Multi-ouptut Regression
Mauricio A Alvarez · Neil D Lawrence
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Bayesian Synchronous Grammar Induction
Phil Blunsom · Trevor Cohn · Miles Osborne
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Automatic online tuning for fast Gaussian summation
Vlad I Morariu · Balaji Vasan Srinivasan · Vikas C Raykar · Ramani Duraiswami · Larry Davis
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
A computational model of hippocampal function in trace conditioning
Elliot A Ludvig · Richard Sutton · Eric Verbeek · James Kehoe
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
A spatially varying two-sample recombinant coalescent, with applications to HIV escape response
Alexander Braunstein · Zhi Wei · Shane T Jensen · Jon McAuliffe
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
A general framework for investigating how far the decoding process in the brain can be simplified
Masafumi Oizumi · Toshiyuki Ishii · Kazuya Ishibashi · Toshihiko Hosoya · Masato Okada
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Bayesian Kernel Shaping for Learning Control
Jo-Anne Ting · Mrinal Kalakrishnan · Sethu Vijayakumar · Stefan Schaal
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Nonparametric Bayesian Learning of Switching Linear Dynamical Systems
Emily Fox · Erik Sudderth · Michael Jordan · Alan S Willsky
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
ICA based on a Smooth Estimation of the Differential Entropy
Lev Faivishevsky · Jacob Goldberger
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Localized Sliced Inverse Regression
Qiang Wu · Sayan Mukherjee · Feng Liang
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Supervised Bipartite Graph Inference
Yoshihiro Yamanishi
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction
Fabian H Sinz · Matthias Bethge
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Learning Transformational Invariants from Time-Varying Natural Images
Charles Cadieu · Bruno Olshausen
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Domain Adaptation with Multiple Sources
Yishay Mansour · Mehryar Mohri · Afshin Rostamizadeh
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Robust Regression and Lasso
Huan Xu · Constantine Caramanis · Shie Mannor
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Clustered Multi-Task Learning: A Convex Formulation
Laurent Jacob · Francis Bach · Jean-Philippe Vert
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Robust Kernel Principal Component Analysis
Minh Hoai Nguyen · Fernando D De la Torre
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Interpreting the neural code with Formal Concept Analysis
Dominik M Endres · Peter Foldiak
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Translated Learning
Wenyuan Dai · Yuqiang Chen · Gui-Rong Xue · Qiang Yang · Yong Yu
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Mixed Membership Stochastic Blockmodels
Edo M Airoldi · David Blei · Stephen E Fienberg · Eric Xing
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
The Infinite Factorial Hidden Markov Model
Jurgen Van Gael · Yee Whye Teh · Zoubin Ghahramani
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images
Pradeep Ravikumar · Vincent Vu · Bin Yu · Thomas Naselaris · Kendrick Kay · Jack Gallant
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Characterizing neural dependencies with Poisson copula models
Pietro Berkes · Frank Wood · Jonathan W Pillow
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Performance analysis for L_2 kernel classification
JooSeuk Kim · Clayton Scott
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Phase transitions for high-dimensional joint support recovery
Sahand N Negahban · Martin J Wainwright
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Load and Attentional Bayes
Peter Dayan
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Sparse Signal Recovery Using Markov Random Fields
Volkan Cevher · Marco F Duarte · Chinmay Hegde · Richard Baraniuk
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
Geremy Heitz · Stephen Gould · Ashutosh Saxena · Daphne Koller
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Modeling Short-term Noise Dependence of Spike Counts in Macaque Prefrontal Cortex
Arno Onken · Steffen Grünewälder · Matthias Munk · Klaus H Obermayer
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Benjamin Schrauwen · Lars Buesing · Robert Legenstein
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Modeling the effects of memory on human online sentence processing with particle filters
Roger Levy · Florencia Reali · Tom Griffiths
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Characteristic Kernels on Groups and Semigroups
Kenji Fukumizu · Bharath Sriperumbudur · Arthur Gretton · Bernhard Schölkopf
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models
Tong Zhang
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG
David P Wipf · Julia Owen · Hagai Attias · Kensuke Sekihara · Sri Nagarajan
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
QUIC-SVD: Fast SVD Using Cosine Trees
Michael Holmes · Alexander Gray · Charles L Isbell
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Online Optimization in X-Armed Bandits
Sebastien Bubeck · Remi Munos · Gilles Stoltz · Csaba Szepesvari
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Empirical performance maximization for linear rank statistics
Stephan Clémençon · Nicolas Vayatis
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Using Bayesian Dynamical Systems for Motion Template Libraries
Silvia Chiappa · Jens Kober · Jan Peters
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Learning a discriminative hidden part model for human action recognition
Yang Wang · Greg Mori
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform
Guangzhi Cao · Charles A Bouman
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Artificial Olfactory Brain for Mixture Identification
Mehmet K Muezzinoglu · Alexander Vergara · Ramon Huerta · Thomas Nowotny · Nikolai Rulkov · Henry Abarbanel · Allen Selverston · Mikhail Rabinovich
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
A Hierarchical Image Model for Polynomial-Time 2D Parsing
Long Zhu · Yuanhao Chen · Yuan Lin · Alan L Yuille
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Scalable Algorithms for String Kernels with Inexact Matching
Pavel Kuksa · Pai-Hsi Huang · Vladimir Pavlovic
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Using matrices to model symbolic relationship
Ilya Sutskever · Geoffrey E Hinton
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Adapting to a Market Shock: Optimal Sequential Market-Making
Sanmay Das · Malik Magdon-Ismail
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Non-parametric Regression Between Manifolds
Florian Steinke · Matthias Hein
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
High-dimensional union support recovery in multivariate regression
Guillaume R Obozinski · Martin J Wainwright · Michael Jordan
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Nonparametric regression and classification with joint sparsity constraints
Han Liu · John Lafferty · Larry Wasserman
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Kernelized Sorting
Novi Quadrianto · Le Song · Alexander Smola
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Deflation Methods for Sparse PCA
Lester W Mackey
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Continuously-adaptive discretization for message-passing algorithms
Michael Isard · John MacCormick · Kannan Achan
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Learning with Consistency between Inductive Functions and Kernels
Haixuan Yang · Irwin King · Michael Lyu
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Shenghuo Zhu · Kai Yu · Yihong Gong
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Dynamic Visual Attention: Searching for coding length increments
Xiaodi Hou · Liqing Zhang
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Extended Grassmann Kernels for Subspace-Based Learning
Jihun Hamm · Daniel Lee
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Estimating Robust Query Models with Convex Optimization
Kevyn Collins-Thompson
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Multi-label Multiple Kernel Learning
Shuiwang Ji · Liang Sun · Rong Jin · Jieping Ye
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Relative Margin Machines
Pannagadatta K Shivaswamy · Tony Jebara
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Comparing model predictions of response bias and variance in cue combination
Rama Natarajan · Iain Murray · Ladan Shams · Richard Zemel
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Human Active Learning
Jerry Zhu · Rui M Castro · Timothy T Rogers · Rob Nowak · Ruichen Qian · Chuck Kalish
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
A Convex Upper Bound on the Log-Partition Function
Laurent El Ghaoui · Assane Gueye
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Asynchronous Distributed Learning of Topic Models
Arthur Asuncion · Padhraic Smyth · Max Welling
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks
Alex Graves · Jürgen Schmidhuber
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Bayesian Exponential Family PCA
Shakir Mohamed · Katherine Heller · Zoubin Ghahramani
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Online Models for Content Optimization
Deepak Agarwal · Bee-Chung Chen · Pradheep Elango · Nitin Motgi · Seung-Taek Park · Raghu Ramakrishnan · Scott Roy · Joe Zachariah
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
An Algorithm for Microchip Spike Sorting
Zhi Yang · Wentai Liu
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Fast Rates for Regularized Objectives
Karthik Sridharan · Shai Shalev-Shwartz · Nati Srebro
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Reducing statistical dependencies in natural signals using radial Gaussianization
Siwei Lyu · Eero Simoncelli
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
An interior-point stochastic approximation method and an L1-regularized delta rule
Peter Carbonetto · Mark Schmidt · Nando de Freitas
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Kernel Measures of Independence for non-iid Data
Xinhua Zhang · Le Song · Arthur Gretton · Alexander Smola
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
An improved estimator of Variance Explained in the presence of noise
Ralf Haefner · Bruce Cumming
Poster
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Sparse probabilistic projections
Cedric Archambeau · Francis Bach
Session
Wed Dec 10 07:30 PM -- 12:00 AM (PST)
Posters
Oral
Thu Dec 11 08:30 AM -- 08:50 AM (PST)
The Mondrian Process
Daniel Roy · Yee Whye Teh
Session
Thu Dec 11 08:30 AM -- 10:10 AM (PST)
Oral session 10: Nonparametric Processes, Scene Processing and Image Statistics
Max Welling
Oral
Thu Dec 11 08:50 AM -- 09:10 AM (PST)
Shared Segmentation of Natural Scenes Using Dependent Pitman-Yor Processes
Erik Sudderth · Michael Jordan
Oral
Thu Dec 11 09:10 AM -- 09:30 AM (PST)
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
Geremy Heitz · Stephen Gould · Ashutosh Saxena · Daphne Koller
Oral
Thu Dec 11 09:30 AM -- 09:50 AM (PST)
Multi-Level Active Prediction of Useful Image Annotations for Recognition
Sudheendra N Vijayanarasimhan · Kristen Grauman
Oral
Thu Dec 11 09:50 AM -- 10:10 AM (PST)
Reducing statistical dependencies in natural signals using radial Gaussianization
Siwei Lyu · Eero Simoncelli
Break
Thu Dec 11th 10:10 - 10:40 AM @ None
Break
Oral
Thu Dec 11 10:40 AM -- 11:00 AM (PST)
Load and Attentional Bayes
Peter Dayan
Session
Thu Dec 11 10:40 AM -- 12:00 PM (PST)
Oral session 11: Attention and Mind
Aaron Courville
Invited Talk
Thu Dec 11 11:00 AM -- 12:00 PM (PST)
Theory of Mind with fMRI
Rebecca Saxe
Break
Thu Dec 11th 12:00 - 01:00 PM @ None
Lunch
Mini Symposium
Thu Dec 11 01:30 PM -- 04:30 PM (PST)
Algebraic methods in machine learning
Risi Kondor · Guy Lebanon · Jason R Morton
Mini Symposium
Thu Dec 11 01:30 PM -- 04:30 PM (PST)
Machine Learning in Computational Biology
Gal Chechik · Christina Leslie · Quaid Morris · William S Noble · Gunnar Rätsch
Mini Symposium
Thu Dec 11 01:30 PM -- 04:30 PM (PST)
Principled Theoretical Frameworks for the Perception-Action Cycle
Daniel Polani · Naftali Tishby
Mini Symposium
Thu Dec 11 01:30 PM -- 04:30 PM (PST)
Mini Symposia
Mini Symposium
Thu Dec 11 01:30 PM -- 04:30 PM (PST)
Computational Photography
Bill Freeman · Bernhard Schölkopf
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie S
Machine Learning in Computational Biology
Gal Chechik · Christina Leslie · Quaid Morris · William S Noble · Gunnar Rätsch
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine AB
Analyzing Graphs: Theory and Applications
Edo M Airoldi · David Blei · Jake M Hofman · Tony Jebara · Eric Xing
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Callaghan
Algebraic and combinatorial methods in machine learning
Risi Kondor · Guy Lebanon · Jason R Morton
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Black Tusk
Machine learning meets human learning
Nathaniel D Daw · Tom Griffiths · Josh Tenenbaum · Jerry Zhu
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine CD
Machine Learning Open Source Software
Soeren Sonnenburg · Mikio L Braun · Cheng Soon Ong
Workshop
Fri Dec 12 07:30 AM -- 07:00 PM (PST) @ Westin: Nordic
Causality: objectives and assessment
Isabelle Guyon · Dominik Janzing · Bernhard Schölkopf
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Glacier
Principled Theoretical Frameworks for the Perception-Action Cycle
Daniel Polani · Naftali Tishby
Workshop
Fri Dec 12 07:30 AM -- 07:00 PM (PST) @ Westin: Alpine E
Cost Sensitive Learning
Balaji R Krishnapuram · Shipeng Yu · Oksana Yakhnenko · R. Bharat Rao · Lawrence Carin
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe B
Structured Input - Structured Output
Karsten Borgwardt · Koji Tsuda · Vishwanathan S V N · Xifeng Yan
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Diamond Head
Optimization for Machine Learning
Suvrit Sra · Sebastian Nowozin · Vishwanathan S V N
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie N
Statistical Analysis and Modeling of Response Dependencies in Neural Populations (day 1)
Klaus H Obermayer · Valentin Dragoi · Arno Onken · Steffen Grünewälder · Denise J Berger
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Cheakamus
Speech and Language: Learning-based Methods and Systems
Xiaodong He · Li Deng
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Westin: Emerald A
Beyond Search: Computational Intelligence for the Web (day 1)
Anton Schwaighofer · Junfeng Pan · Thomas Borchert · Olivier Chapelle · Joaquin Quiñonero Candela
Workshop
Fri Dec 12 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe A
New Challanges in Theoretical Machine Learning: Data Dependent Concept Spaces
Maria-Florina F Balcan · Shai Ben-David · Avrim Blum · Kristiaan Pelckmans · John Shawe-Taylor
Workshop
Sat Dec 13 07:30 AM -- 06:30 PM (PST) @ Westin: Callaghan
Model Uncertainty and Risk in Reinforcement Learning
Yaakov Engel · Mohammad Ghavamzadeh · Shie Mannor · Pascal Poupart
Workshop
Sat Dec 13 07:30 AM -- 06:30 PM (PST) @ Hilton: Mt. Currie N
Statistical Analysis and Modeling of Response Dependencies in Neural Populations (day 2)
Klaus H Obermayer · Valentin Dragoi · Arno Onken · Steffen Grünewälder · Denise J Berger
Workshop
Sat Dec 13 07:30 AM -- 06:30 PM (PST) @ Hilton: Black Tusk
Stochastic Models of Behaviour
Aldo A Faisal · Marta Gonzalez
Workshop
Sat Dec 13 07:30 AM -- 06:30 PM (PST) @ Westin: Emerald A
Beyond Search: Computational Intelligence for the Web (day 2)
Anton Schwaighofer · Junfeng Pan · Thomas Borchert · Olivier Chapelle · Joaquin Quiñonero Candela
Workshop
Sat Dec 13 07:30 AM -- 07:00 PM (PST) @ Westin: Alpine AB
Approximate inference - how far have we come?
Amir Globerson · David Sontag · Tommi Jaakkola
Workshop
Sat Dec 13 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine CD
Probabilistic Programming: Universal Languages, Systems and Applications
Daniel Roy · John Winn · David A McAllester · Vikash Mansinghka · Josh Tenenbaum
Workshop
Sat Dec 13 07:30 AM -- 07:00 PM (PST) @ Hilton: Sutcliffe B
New Directions in Statistical Learning for Meaningful and Reproducible fMRI Analysis
Melissa K Carroll · Irina Rish · Francisco Pereira · Guillermo Cecchi
Workshop
Sat Dec 13 07:30 AM -- 06:30 PM (PST) @ Hilton: Sutcliffe A
Parallel Implementations of Learning Algorithms: What have you done for me lately?
Robert Thibadeau · Dan Hammerstrom · David S Touretzky · Tom Mitchell
Workshop
Sat Dec 13 07:30 AM -- 06:30 PM (PST) @ Hilton: Cheakamus
Speech and Language: Unsupervised Latent-Variable Models
Slav Petrov · Aria Haghighi · Percy Liang · Dan Klein
Workshop
Sat Dec 13 07:30 AM -- 06:30 PM (PST) @ Westin: Alpine E
Learning from Multiple Sources
David R Hardoon · Gayle Leen · Samuel Kaski · John Shawe-Taylor
Workshop
Sat Dec 13 07:30 AM -- 06:30 PM (PST) @ Westin: Nordic
Kernel Learning: Automatic Selection of Optimal Kernels
Corinna Cortes · Arthur Gretton · Gert Lanckriet · Mehryar Mohri · Afshin Rostamizadeh
Workshop
Sat Dec 13 07:30 AM -- 07:00 PM (PST) @ Hilton: Diamond Head
Cortical Microcircuits and their Computational Functions
Tomaso Poggio · Terrence J Sejnowski