Monday 
6:30 – 8:30pm 
Opening Banquet



7:30pm – 12:00am 
Poster Session



Y. Teh, D. Newman, M. Welling
A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation

P. Bartlett, M. Traskin
AdaBoost is Consistent

J. Kimmel, R. Salter, P. Thomas
An Information Theoretic Framework for Eukaryotic Gradient Sensing

W. Kienzle, F. Wichmann, B. Schölkopf, M. Franz
A Nonparametric Approach to BottomUp Visual Saliency

D. Navarro, T. Griffiths
A Nonparametric Bayesian Method for Inferring Features From Similarity Judgments

J. Zumer, H. Attias, K. Sekihara, S. Nagarajan
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression for MEG and EEG data

A. Vedaldi
A RateDistortion Approach to Joint Pattern Alignment

E. EvenDar, M. Kearns
A Small World Threshold for Economic Network Formation

Y. Wang, R. Douglas, S. Liu
Attentional Processing on a SpikeBased VLSI Neural Network

P. Long, R. Servedio
Attributeefficient learning of linear threshold functions under unconcentrated distributions

L. Charlin, P. Poupart, R. Shioda
Automated Hierarchy Discovery for Planning in Partially Observable Domains

T. Cour, P. Srinivasan, J. Shi
Balanced Graph Matching

A. Levin
Blind Motion Deblurring Using Image Statistics

O. Chapelle, V. Sindhwani, S. Selvaraj Keerthi
Branch and Bound for SemiSupervised Support Vector Machines

K. Kording, J. Tenenbaum
Causal inference in sensorimotor integration

C. Shelton, W. Huie
Chained Boosting

J. Vinson, D. DeCaprio, S. Luoma, J. Galagan
Comparative Gene Prediction using Conditional Random Fields

P. Carbonetto, N. de Freitas
Conditional mean field

P. Li, K. Church, T. Hastie
Conditional Random Sampling: A Sketchbased Sampling Technique for Sparse Data

M. Mozer, M. Jones, M. Shettel
Context Effects in Category Learning: An Investigation of Four Probabilistic Models

M. Belkin, P. Niyogi
Convergence of Laplacian Eigenmaps

A. Bissacco, M. Yang, S. Soatto
Detecting Humans via Their Pose

J. Davis, I. Dhillon
Differential Entropic Clustering of Multivariate Gaussians

S. Funiak, C. Guestrin, M. Paskin, R. Sukthankar
Distributed Inference in Dynamical Systems

J. HERSHEY, M. Butman
Efficient Methods for Privacy Preserving Classification

H. Lee, A. Battle, R. Rajat, A. Ng
Efficient sparse coding algorithms, endstopping and nCRF surround suppression

S. Lee, V. Ganapathi, D. Koller
Efficient Structure Learning of Markov Networks using L1Regularization

a. rahimi, B. Recht
Estimating Observation Functions in Dynamical Systems Using Unsupervised Regression

R. Kondor, T. Jebara
Gaussian and Wishart Hyperkernels

K. Yu, W. Chu, S. Yu, V. Tresp, Z. Xu
Gaussian Process Models for Discriminative Link Prediction

H. Valizadegan, R. Jin
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning

A. Hero
Geometric entropy minimization (GEM) for anomaly detection and localization

K. Weinberger, F. Sha, Q. Zhu, L. Saul
Graph Regularization for Maximum Variance Unfolding with an Application to Sensor Localization

S. Kim, P. Smyth
Hierarchical Dirichlet Processes with Random Effects

A. Geramifard, M. Bowling, M. Zinkevich, R. Sutton
iLSTD: Convergence, Eligibility Traces, and Mountain Car

A. Frome, Y. Singer, J. Malik
Image Retrieval and Classification Using Local Distance Functions

L. Cheng, V. S V N, D. Schuurmans, S. Wang, T. Caelli
implicit Online Learning with Kernels

M. Rabbat, M. Figueiredo, R. Nowak
Inferring Network Structure from CoOccurrences

Y. Mao, G. Lebanon
Isotonic Conditional Random Fields and Local Sentiment Flow

R. Jenssen, T. Eltoft, M. Girolami, D. Erdogmus
Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm

L. Torresani, K. Lee
Large Margin Component Analysis

A. Gore, S. Chakrabartty
Large Margin Multichannel AnalogtoDigital Conversion with Applications to Neural P

D. Grimes, D. Rashid, R. Rao
Learning Nonparametric Models for Probabilistic Imitation

R. Ando, T. Zhang
Learning on Graph with Laplacian Regularization

M. Raphan, E. Simoncelli
Learning to be Bayesian without Supervision

D. Ramanan
Learning to parse images of articulated bodies

C. Burges, Q. Le, R. Ragno
Learning to Rank with Nonsmooth Cost Functions

P. Dollar, V. Rabaud, S. Belongie
Learning to Traverse Image Manifolds

D. Zhou, J. Huang, B. Schölkopf
Learning with Hypergraphs: Clustering, Classification, and Embedding

E. Todorov
Linearlysolvable Markov decision problems

K. Filali, J. Bilmes
Multidynamic Bayesian Networks

C. Murray, G. Gordon
MultiRobot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General Sum Stochastic Games

A. Argyriou, T. Evgeniou, M. Pontil
MultiTask Feature Learning

C. Gomes, A. Sabharwal, B. Selman
NearUniform Sampling of Combinatorial Spaces Using XOR Constraints

A. Myronenko, X. Song
Nonrigid point set registration: Coherent Point Drift

C. Cortes, M. Mohri
On Transductive Regression

A. Yu
Optimal ChangeDetection and Spiking Neurons

Y. Qi, T. Jaakkola
Parameter Expanded Variational Bayesian Methods

M. Warmuth, D. Kuzmin
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension

D. Cohn, D. Verma, K. Pfleger
Recursive Attribute Factoring

H. Shan, L. Zhang, G. Cottrell
Recursive ICA

O. Boiman, M. Irani
Similarity by Composition

S. Rakhlin, A. Caponnetto
Stability of $K$Means Clustering

P. Schrater, R. Sundareswara
Theory and Dynamics of Perceptual Bistability

S. Gross, O. Russakovsky, C. Do, S. Batzoglou
Training Conditional Random Fields for Maximum Parse Accuracy

7:30pm – 12:00am 
Demonstrations



Y. Ivanov, J. Westhues, D. Leigh, C. Wren, A. Sorokin, I. Kaur
Ambient Intelligence for Better Buildings

K. Bonawitz, V. Mansinghka
Blaise: A System for Interactive Development of High Performance Inference Algorithms

B. Schrauwen, D. Verstraeten
Hardware speech recognition using Reservoir Computing

J. ArenasGarcía, L. Hansen, T. LehnSchioeler, K. Petersen, J. Larsen
MIROCKET

O. Teytaud, S. Gelly
MoGo: explorationexploitation in MonteCarlo Go using UCT and patterns

D. Alleysson, A. Benoit, B. Durette, J. Herault
Realtime bioinspired retina simulation software with nonlinear, adaptive and chromatic spatiotemporal processing

S. Sonnenburg, G. Rätsch
SHOGUN Machine Learning Toolbox

P. Lichtsteine, T. Delbruck
Using an eventbased silicon retina for fast sensory motor processing

Tuesday 
8:30am 
Dan Ariely Free Lunches: Insights from Behavioral Economics 
9:30am 
Charles Kemp, Patrick Shafto, Allison Berke, Josh Tenenbaum Combining causal and similaritybased reasoning 
9:50am 
Eli BenSasson, Adam T Kalai, Ehud Kalai An Approach to Bounded Rationality 
10:10am 
Michael D Lee, Ian Fuss, Daniel Navarro A Bayesian Approach to Diffusion Models of DecisionMaking and Response Time 
10:10am 
Mohammad Ghavamzadeh, Yaakov Engel Bayesian Policy Gradient Algorithms 
10:10am 
Steffen Bickel, Tobias Scheffer DirichletEnhanced Spam Filtering based on Biased Samples 
10:10am 
Sandeep Pandey, Christopher Olston Handling Advertisements of Unknown Quality in Search Advertising 
10:10am 
Huan Xu, Shie Mannor The RobustnessPerformance Tradeoff in Markov Decision Processes 
10:20am 
Coffee Break 
10:50am 
Nathan D Ratliff, David M Bradley, Drew Bagnell, Joel Chestnutt Boosting Structured Prediction for Imitation Learning 
11:10am 
Pieter Abbeel, Adam P Coates, Andrew Y Ng, Morgan Quigley An Application of Reinforcement Learning to Aerobatic Helicopter Flight 
11:30am 
Lorenzo Torresani, Peggy Hackney, Christoph Bregler Learning Motion Style Synthesis from Perceptual Observations 
11:50am 
Graham W Taylor, Geoffrey E Hinton, Sam T Roweis Modeling Human Motion Using Binary Latent Variables 
11:50am 
Konrad P Kording, Josh Tenenbaum, Reza Shadmehr Multiple timescales and uncertainty in motor adaptation 
11:50am 
Ashutosh Saxena, Justin Driemeyer, Justin Kearns, Andrew Y Ng Robotic Grasping of Novel Objects 
12:00 – 2:00pm 
Lunch (2 hours) 
2:00pm 
Ralf Herbrich, Tom Minka, Thore K Graepel TrueSkill: A Bayesian Skill Rating System 
2:20pm 
Lin Wu, Pierre Baldi A Scalable Machine Learning Approach to Go 
2:40pm 
ChengTao Chu, Sang Kyun Kim, YiAn Lin, YuanYuan Yu, Gary N Bradski, Andrew Y Ng, Kunle Olukotun MapReduce for Machine Learning on Multicore 
3:00pm 
Geoffrey J Gordon Noregret algorithms for Online Convex Programs 
3:20pm 
Shai ShalevShwartz, Yoram Singer Convex Repeated Games and Fenchel Duality 
3:20pm 
Mark J Herbster, Massimiliano Pontil Prediction on a Graph with a Perceptron 
3:20pm 
Ofer Dekel, Yoram Singer Support Vector Machines on a Budget 
3:30pm 
Coffee Break 
4:00pm 
Daniel M Roy, Charles Kemp, Vikash K Mansinghka, Josh Tenenbaum Learning annotated hierarchies from relational data 
4:20pm 
Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle Greedy LayerWise Training of Deep Networks 
4:40pm 
Arthur Gretton, Karsten Borgwardt, Malte J Rasch, Bernhard Schölkopf, Alex J Smola A Kernel Method for the TwoSampleProblem 
5:00pm 
Kenichi Kurihara, Max Welling, Nikos Vlassis Accelerated Variational Dirichlet Process Mixtures 
5:00pm 
Jiayuan Huang, Alex J Smola, Arthur Gretton, Karsten Borgwardt, Bernhard Schölkopf Correcting Sample Selection Bias by Unlabeled Data 
5:00pm 
Martin J Wainwright, Pradeep K Ravikumar, John Lafferty Inferring Graphical Model Structure using $\ell_1$Regularized PseudoLikelihood 
5:00pm 
Ted Meeds, Zoubin Ghahramani, Radford M Neal, Sam T Roweis Modeling Dyadic Data with Binary Latent Features 
5:00pm 
Alexandre Lacasse, Francois Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier PACBayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier 
5:00pm 
David Barber, Silvia Chiappa Unified Inference for Variational Bayesian Linear Gaussian StateSpace Models 
5:00pm 
John Duchi, Daniel Tarlow, Gal Elidan, Daphne Koller Using Combinatorial Optimization within MaxProduct Belief Propagation 
7:30pm – 12:00am 
Poster Session



M. Lee, I. Fuss, D. Navarro
A Bayesian Approach to Diffusion Models of DecisionMaking and Response Time

K. Kurihara, M. Welling, N. Vlassis
Accelerated Variational Dirichlet Process Mixtures

M. Johnson, T. Griffiths, S. Goldwater
Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Mod

S. Lemm, C. Schäfer, G. Curio
Aggregating Classification Accuracy through Time  Classifying Single Trial EEG

A. Gretton, K. Borgwardt, M. Rasch, B. Schölkopf, A. Smola
A Kernel Method for the TwoSampleProblem

Y. Kawahara, T. Yairi, K. Machida
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems

J. Blitzer, S. BenDavid, K. Crammer, F. Pereira
Analysis of Representations for Domain Adaptation

P. Abbeel, A. Coates, A. Ng, M. Quigley
An Application of Reinforcement Learning to Aerobatic Helicopter Flight

E. BenSasson, A. Kalai, E. Kalai
An Approach to Bounded Rationality

S. Selvaraj Keerthi, V. Sindhwani, O. Chapelle
An Efficient Method for GradientBased Adaptation of Hyperparameters in SVM Models

L. Wu, P. Baldi
A Scalable Machine Learning Approach to Go

C. Bartolozzi, G. Indiveri
A selective attention multichip system with dynamic synapses and spiking neurons

O. Williams
A Switched Gaussian Process for Estimating Disparity and Segmentation in Binocular St

M. Ghavamzadeh, Y. Engel
Bayesian Policy Gradient Algorithms

N. Ratliff, D. Bradley, D. Bagnell, J. Chestnutt
Boosting Structured Prediction for Imitation Learning

C. Kemp, P. Shafto, A. Berke, J. Tenenbaum
Combining causal and similaritybased reasoning

K. Rieck, P. Laskov, S. Sonnenburg
Computation of Similarity Measures for Sequential Data using Generalized Suffix Trees

S. ShalevShwartz, Y. Singer
Convex Repeated Games and Fenchel Duality

J. Huang, A. Smola, A. Gretton, K. Borgwardt, B. Schölkopf
Correcting Sample Selection Bias by Unlabeled Data

M. Braun, J. Buhmann, K. Müller
Denoising and Dimension Reduction in Feature Space

S. Bickel, T. Scheffer
DirichletEnhanced Spam Filtering based on Biased Samples

R. Zass, A. Shashua
Doubly Stochastic Normalization for Spectral Clustering

N. Schraudolph, S. Günter, V. S V N
Fast Iterative Kernel PCA

B. Nadler, M. Galun
Fundamental Limitations of Spectral Clustering Methods

W. Li, K. Lee, K. Leung
Generalized Regularized LeastSquares Learning with Predefined Features in a Hilbert Space

Y. Bengio, P. Lamblin, D. Popovici, H. Larochelle
Greedy LayerWise Training of Deep Networks

S. Pandey, C. Olston
Handling Advertisements of Unknown Quality in Search Advertising

J. Laub, J. Macke, K. Müller, F. Wichmann
Inducing Metric Violations in Human Similarity Judgements

M. Wainwright, P. Ravikumar, J. Lafferty
Inferring Graphical Model Structure using $\ell_1$Regularized PseudoLikelihood

Y. Seldin, N. Slonim, N. Tishby
Information Bottleneck for Non CoOccurrence Data

S. Klampfl, R. Legenstein, W. Maass
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons

D. Roy, C. Kemp, V. Mansinghka, J. Tenenbaum
Learning annotated hierarchies from relational data

K. Crammer, M. Kearns, J. Vaughan
Learning from Multiple Sources

L. Torresani, P. Hackney, C. Bregler
Learning Motion Style Synthesis from Perceptual Observations

A. Ihler, P. Smyth
Learning TimeIntensity Profiles of Human Activity using NonParametric Bayesian Models

C. Chu, S. Kim, Y. Lin, Y. Yu, G. Bradski, A. Ng, K. Olukotun
MapReduce for Machine Learning on Multicore

A. Storkey, M. Sugiyama
Mixture Regression for Covariate Shift

J. Wang, Z. Zhang
MLLE: Modified Locally Linear Embedding Using Multiple Weights

T. Meeds, Z. Ghahramani, R. Neal, S. Roweis
Modeling Dyadic Data with Binary Latent Features

G. Taylor, G. Hinton, S. Roweis
Modeling Human Motion Using Binary Latent Variables

G. Fung, M. Dundar, B. Krishnapuram, R. Rao
Multiple Instance Learning for Computer Aided Diagnosis

K. Kording, J. Tenenbaum, R. Shadmehr
Multiple timescales and uncertainty in motor adaptation

G. Gordon
Noregret algorithms for Online Convex Programs

R. Vidal
Online Clustering of Moving Subspaces

H. Narayanan, M. Belkin, P. Niyogi
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts

R. ElYaniv, M. Nisenson
Optimal SingleClass Classification Strategies

A. Lacasse, F. Laviolette, M. Marchand, P. Germain, N. Usunier
PACBayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier

G. McNeill, S. Vijayakumar
Partbased Probabilistic Point Matching using Equivalence Constraints

R. Kobayashi, S. Shinomoto
Predicting spike times from subthreshold dynamics of a neuron

M. Herbster, M. Pontil
Prediction on a Graph with a Perceptron

F. Moosmann, B. Triggs, F. JURIE
Randomized Clustering Forests for Building Fast and Discriminative Visual Vocabularies

A. Saxena, J. Driemeyer, J. Kearns, A. Ng
Robotic Grasping of Novel Objects

P. Bartlett, A. Tewari
Sample Complexity of Policy Search with Known Dynamics

K. Zhang, J. Kwok
Simplifying Mixture Models through Function Approximation

J. ArenasGarcía, K. Petersen, L. Hansen
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets

G. Cawley, N. Talbot, M. Girolami
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation

G. Haro, G. Randall, G. Sapiro
Stratification Learning: Detecting Mixed Density and Dimensionality in High Dimensional Point Clouds

O. Dekel, Y. Singer
Support Vector Machines on a Budget

T. Voegtlin
Temporal Coding using the Response Properties of Spiking Neurons

T. Ott, R. Stoop
The Neurodynamics of Belief Propagation on Binary Markov Random Fields

H. Xu, S. Mannor
The RobustnessPerformance Tradeoff in Markov Decision Processes

A. Ambroladze, E. ParradoHernandez, J. ShaweTaylor
Tighter PACBayes Bounds

R. Herbrich, T. Minka, T. Graepel
TrueSkill: A Bayesian Skill Rating System

D. Barber, S. Chiappa
Unified Inference for Variational Bayesian Linear Gaussian StateSpace Models

J. Duchi, D. Tarlow, G. Elidan, D. Koller
Using Combinatorial Optimization within MaxProduct Belief Propagation

7:30pm – 12:00am 
Demonstrations



L. Bogoni, M. Salganicoff, R. Rao, M. Dundar, B. Krishnapuram, G. Fung
Computer Aided Diagnosis of Early Stage Cancer

S. Raghupathy, Q. Zhang, P. Haluptzok
Intelligent Ink Processing

B. Fortuna, D. Mladenic, M. Grobelnik
OntoGen

E. Pednault, H. Toledano, R. Natarajan, A. Ghoting, E. YomTov, E. Aharoni, D. Pelleg
Parallel Machine Learning Toolbox

B. Sapp, S. Gould, A. Kaehler, G. Bradski, A. Ng
PeripheralFoveal Vision for Realtime Object Recognition

J. Bergeron, J. Lavoie, S. Loiselle, H. Anh, V. Lapointe, J. ROUAT, R. Pichevar, J. Bélanger
RNSpikes: A bioinspired neural processor for face recognition

R. Wright, J. Landay, K. Kilanski, X. Li, J. Malkin, J. Bilmes
The Vocal Joystick

Wednesday 
8:30am 
George Ojemann Examining the Human Brain Mechanisms for Language, Memory, and Learning During Awake Neurosurgery 
9:30am 
Mate Lengyel, Peter Dayan Uncertainty, phase and oscillatory hippocampal recall 
9:50am 
Jeremy Lewi, Robert Butera, Liam M Paninski Realtime adaptive informationtheoretic optimization of neurophysiological experiments 
10:10am 
Alexis Battle, Gal Chechik, Daphne Koller Temporal and CrossSubject Probabilistic Models for fMRI Prediction Task 
10:30am 
Coffee Break 
11:00am 
Matthias Hein, Markus M Maier Manifold Denoising 
11:20am 
Ivor W Tsang, James T Kwok LargeScale Sparsified Manifold Regularization 
11:40am 
Marc'Aurelio Ranzato, Christopher Poultney, Sumit Chopra, Yann LeCun Efficient Learning of Sparse Representations with an EnergyBased Model 
11:40am 
Yi Li, Phil Long Learnability and the doubling dimension 
11:40am 
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller Maxmargin classification of incomplete data 
11:40am 
ZhiHua Zhou, MinLing Zhang MultiInstance MultiLabel Learning with Application to Scene Classification 
11:40am 
Ling Li, HsuanTien Lin Ordinal Regression by Extended Binary Classification 
11:40am 
Joseph Turian, Benjamin Wellington, Dan Melamed Scalable Discriminative Learning for Natural Language Parsing and Translation 
12:00 – 2:00pm 
Lunch (2 hours) 
2:00pm 
David Baker Global Optimization Challenges in High Resolution Protein Structure Prediction 
3:00pm 
KyungAh Sohn, Eric P Xing A Hidden Markov Dirichlet Process Model for Genetic Recombination in Open Ancestral Space 
3:20pm 
David P Wipf, Rey R Ramirez, Jason A Palmer, Scott Makeig, Bhaskar Rao Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization 
3:20pm 
Hideaki Shimazaki, Shigeru Shinomoto A recipe for optimizing a timehistogram 
3:20pm 
Jennifer Listgarten, Radford M Neal, Sam T Roweis, Rachel Puckrin, Sean Cutler Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure 
3:20pm 
Elisabetta Chicca, Giacomo Indiveri, Rodney J Douglas Context dependent amplification of both rate and eventcorrelation in a VLSI network of spiking neurons 
3:20pm 
Luis PerezBreva, Luis E Ortiz, ChenHsiang Yeang, Tommi Jaakkola Game Theoretic Algorithms for ProteinDNA binding 
3:20pm 
Ryota Tomioka, Kazuyuki Aihara, KlausRobert Müller Logistic Regression for Single Trial EEG Classification 
3:20pm 
Tobias Sing, Niko Beerenwinkel Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype 
3:30pm 
Coffee Break 
4:00pm 
Anitha Kannan, John Winn, Carsten Rother Clustering appearance and shape by learning jigsaws 
4:20pm 
Jonathan Harel, Christof Koch, Pietro Perona GraphBased Visual Saliency 
4:40pm 
Ce Liu, William Freeman, Edward Adelson Analysis of Contour Motions 
5:00pm 
Fei Sha, Lawrence Saul Large Margin Gaussian Mixture Models for Automatic Speech Recognition 
5:20pm 
Amit Kagian, Gideon Dror, Tommer Leyvand, Daniel CohenOr, Eytan Ruppin A Humanlike Predictor of Facial Attractiveness 
5:20pm 
Kristen Grauman, Trevor Darrell Approximate Correspondences in High Dimensions 
5:20pm 
Eizaburo Doi, Michael S Lewicki A Theory of Retinal Population Coding 
5:20pm 
Lyndsey C Pickup, David Capel, Stephen J Roberts, Andrew Zisserman Bayesian Image Superresolution, Continued 
5:20pm 
John R Hershey, Trausti Kristjansson, Steven J Rennie, Peder A Olsen Single Channel Speech Separation Using Layered Hidden Markov Models 
5:20pm 
Roger Levy, T. Florian Jaeger Speakers optimize information density through syntactic reduction 
5:20pm 
Aharon Bar Hillel, Daphna Weinshall Subordinate class recognition using relational object models 
7:30pm – 12:00am 
Poster Session



F. Bach
Active learning for misspecified generalized linear models

M. GrosseWentrup, K. Gramann, M. Buss
Adaptive Spatial Filters with predefined Region of Interest for EEG based BrainComputerInterfaces

K. Sohn, E. Xing
A Hidden Markov Dirichlet Process Model for Genetic Recombination in Open Ancestral Space

A. Kagian, G. Dror, T. Leyvand, D. CohenOr, E. Ruppin
A Humanlike Predictor of Facial Attractiveness

M. Wu, B. Schölkopf
A Local Learning Approach for Clustering

C. Liu, W. Freeman, E. Adelson
Analysis of Contour Motions

D. Wipf, R. Ramirez, J. Palmer, S. Makeig, B. Rao
Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization

M. Mandel, D. Ellis, T. Jebara
An EM Algorithm for Localizing Multiple Sound Sources in Reverberant Environments

I. Steinwart, D. Hush, C. Scovel
An Oracle Inequality for Clipped Regularized Risk Minimizers

D. Barber, B. Mesot
A Novel Gaussian Sum Smoother for Approximate Inference in Switching Linear Dynamical

P. Germain, A. Lacasse, F. Laviolette, M. Marchand
A PACBayes Risk Bound for General Loss Functions

K. Grauman, T. Darrell
Approximate Correspondences in High Dimensions

A. Globerson, T. Jaakkola
Approximate inference using planar graph decomposition

H. Shimazaki, S. Shinomoto
A recipe for optimizing a timehistogram

E. Doi, M. Lewicki
A Theory of Retinal Population Coding

J. Listgarten, R. Neal, S. Roweis, R. Puckrin, S. Cutler
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure

H. Chipman, E. George, R. McCulloch
Bayesian Ensemble Learning

L. Pickup, D. Capel, S. Roberts, A. Zisserman
Bayesian Image Superresolution, Continued

L. Omlor, M. Giese
Blind source separation for overdetermined delayed mixtures

A. Kannan, J. Winn, C. Rother
Clustering appearance and shape by learning jigsaws

M. Figueiredo, D. Cheng, V. Murino
Clustering Under Prior Knowledge with Application to Image Segmentation

E. Chicca, G. Indiveri, R. Douglas
Context dependent amplification of both rate and eventcorrelation in a VLSI network of spiking neurons

M. Seeger
CrossValidation Optimization for Large Scale Hierarchical Classification Kernel Methods

M. Girolami, M. Zhong
Data Integration for Classification Problems Employing Gaussian Process Priors

L. Huang, L. Nguyen, M. Garofalakis, M. Jordan, A. Joseph, N. Taft
Distributed PCA and Network Anomaly Detection

L. Lu, G. Hager
Dynamic Foreground/Background Extraction from Images and Videos using Random Patches

G. Luksys, J. Knuesel, D. Sheynikhovich, C. Sandi, W. Gerstner
Effects of Stress and Genotype on Metaparameter Dynamics in Reinforcement Learning

M. Ranzato, C. Poultney, S. Chopra, Y. LeCun
Efficient Learning of Sparse Representations with an EnergyBased Model

J. Lindgren, A. Hyvärinen
Emergence of conjunctive visual features by quadratic independent component analysis

V. S V N, K. Borgwardt, N. Schraudolph
Fast Computation of Graph Kernels

L. PerezBreva, L. Ortiz, C. Yeang, T. Jaakkola
Game Theoretic Algorithms for ProteinDNA binding

J. Harel, C. Koch, P. Perona
GraphBased Visual Saliency

X. Zhang, W. Lee
Hyperparameter Learning for Graph Based Semisupervised Learning Algorithms

C. Walder, B. Schölkopf, O. Chapelle
Implicit Surfaces with Globally Regularised and Compactly Supported Basis Functions

M. Cuturi, K. Fukumizu
Kernels on Structured Objects Through Nested Histograms

I. Tsang, J. Kwok
LargeScale Sparsified Manifold Regularization

F. Sha, L. Saul
Large Margin Gaussian Mixture Models for Automatic Speech Recognition

G. Rätsch, S. Sonnenburg
Large Scale Hidden SemiMarkov SVMs

Y. Li, P. Long
Learnability and the doubling dimension

F. Steinke, B. Schölkopf, V. Blanz
Learning Dense 3D Correspondence

A. Storkey, E. Simonotto, H. Whalley, S. Lawrie, L. Murray, D. McGonigle
Learning Structural Equation Models for fMRI

C. Lee, S. Wang, F. Jiao, D. Schuurmans, R. Greiner
Learning to Model Spatial Dependency: SemiSupervised Discriminative Random Fields

P. Auer, R. Ortner
Logarithmic Online Regret Bounds for Undiscounted Reinforcement Learning

R. Tomioka, K. Aihara, K. Müller
Logistic Regression for Single Trial EEG Classification

M. Hein, M. Maier
Manifold Denoising

G. Chechik, G. Heitz, G. Elidan, P. Abbeel, D. Koller
Maxmargin classification of incomplete data

C. Chemudugunta, P. Smyth, M. Steyvers
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model

N. Lawrence, G. Sanguinetti, M. Rattray
Modelling transcriptional regulation using Gaussian Processes

Z. Zhou, M. Zhang
MultiInstance MultiLabel Learning with Application to Scene Classification

T. Sing, N. Beerenwinkel
Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype

S. Richter, D. Aberdeen, J. Yu
Natural ActorCritic for Road Traffic Optimisation

J. Samonds, B. Potetz, T. Lee
Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation

G. Shakhnarovich, S. Kim, M. Black
Nonlinear physicallybased models for decoding motorcortical population activity

R. Zass, A. Shashua
Nonnegative Sparse PCA

Y. Amit, S. ShalevShwartz, Y. Singer
Online Classification for Complex Problems Using Simultaneous Projections

L. Li, H. Lin
Ordinal Regression by Extended Binary Classification

F. Wood, T. Griffiths
Particle Filtering for Nonparametric Bayesian Matrix Factorization

Y. Feng, G. Hamerly
PGmeans: learning the number of clusters in data

J. Lewi, R. Butera, L. Paninski
Realtime adaptive informationtheoretic optimization of neurophysiological experiments

W. Chu, V. Sindhwani, Z. Ghahramani, S. Selvaraj Keerthi
Relational Learning with Gaussian Processes

J. Turian, B. Wellington, D. Melamed
Scalable Discriminative Learning for Natural Language Parsing and Translation

B. Rubinstein, P. Bartlett, J. Rubinstein
Shifting, OneInclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds

J. Hershey, T. Kristjansson, S. Rennie, P. Olsen
Single Channel Speech Separation Using Layered Hidden Markov Models

K. Huang, S. Aviyente
Sparse Representation for Signal Classification

R. Levy, T. Jaeger
Speakers optimize information density through syntactic reduction

S. Lyu, E. Simoncelli
Statistical Modeling of Images with Fields of Gaussian Scale Mixtures

S. Parise, M. Welling
Structure Learning in Markov Random Fields

A. Bar Hillel, D. Weinshall
Subordinate class recognition using relational object models

A. Battle, G. Chechik, D. Koller
Temporal and CrossSubject Probabilistic Models for fMRI Prediction Task

D. Nikolic, S. Haeusler, W. Singer, W. Maass
Temporal dynamics of information content carried by neurons in the primary visual cortex

F. Theis
Towards a general independent subspace analysis

M. Krauledat, M. Schröder, B. Blankertz, K. Müller
Towards ZeroTraining for BrainComputer Interface Experiments

M. Lengyel, P. Dayan
Uncertainty, phase and oscillatory hippocampal recall

L. Zhu, Y. Chen, A. Yuille
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing

Thursday 
8:30am 
Daniel Margoliash Neural Mechanisms of Auditory Pattern Processing and Pattern Learning in Songbirds 
8:30 – 11:00am 
Morning session  speaker information will be available soon 
9:30am 
Long Zhu, Yuanhao Chen, Alan L Yuille Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing 
9:50am 
Coffee Break 
10:20am 
Hugh Chipman, Edward George, Robert McCulloch Bayesian Ensemble Learning 
10:40am 
Amir Globerson, Tommi Jaakkola Approximate inference using planar graph decomposition 
11:00am 
James S Clark Emerging Capacity to Synthesize Data and Process: Application to the Biodiversity Paradox 
11:00am 
Conference End 