Spotlights
A Bayesian Approach to Diffusion Models of Decision-Making and Response Time
Michael D Lee · Ian Fuss · Daniel Navarro
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Handling Advertisements of Unknown Quality in Search Advertising
Sandeep Pandey · Christopher Olston
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Dirichlet-Enhanced Spam Filtering based on Biased Samples
Steffen Bickel · Tobias Scheffer
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The Robustness-Performance Tradeoff in Markov Decision Processes
Huan Xu · Shie Mannor
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Modeling Human Motion Using Binary Latent Variables
Graham Taylor · Geoffrey E Hinton · Sam T Roweis
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Robotic Grasping of Novel Objects
Ashutosh Saxena · Justin Driemeyer · Justin Kearns · Andrew Y Ng
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Multiple timescales and uncertainty in motor adaptation
Konrad P Kording · Josh Tenenbaum · Reza Shadmehr
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Prediction on a Graph with a Perceptron
Mark Herbster · Massimiliano Pontil
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Convex Repeated Games and Fenchel Duality
Shai Shalev-Shwartz · Yoram Singer
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PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier
Alexandre Lacasse · Francois Laviolette · Mario Marchand · Pascal Germain · Nicolas Usunier
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Using Combinatorial Optimization within Max-Product Belief Propagation
John Duchi · Danny Tarlow · Gal Elidan · Daphne Koller
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Accelerated Variational Dirichlet Process Mixtures
Kenichi Kurihara · Max Welling · Nikos Vlassis
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Inferring Graphical Model Structure using $\ell_1$-Regularized Pseudo-Likelihood
Martin J Wainwright · Pradeep Ravikumar · John Lafferty
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Modeling Dyadic Data with Binary Latent Features
Ted Meeds · Zoubin Ghahramani · Radford M Neal · Sam T Roweis
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Correcting Sample Selection Bias by Unlabeled Data
Jiayuan Huang · Alexander Smola · Arthur Gretton · Karsten Borgwardt · Bernhard Schölkopf
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Unified Inference for Variational Bayesian Linear Gaussian State-Space Models
David Barber · Silvia Chiappa
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Efficient Learning of Sparse Representations with an Energy-Based Model
Marc'Aurelio Ranzato · Christopher Poultney · Sumit Chopra · Yann Lecun
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Max-margin classification of incomplete data
Gal Chechik · Geremy Heitz · Gal Elidan · Pieter Abbeel · Daphne Koller
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Multi-Instance Multi-Label Learning with Application to Scene Classification
Zhi-Hua Zhou · Min-Ling Zhang
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Ordinal Regression by Extended Binary Classification
Ling Li · Hsuan-Tien Lin
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Scalable Discriminative Learning for Natural Language Parsing and Translation
Joseph Turian · Benjamin Wellington · Dan Melamed
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Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons
Elisabetta Chicca · Giacomo Indiveri · Rodney J Douglas
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Game Theoretic Algorithms for Protein-DNA binding
Luis Perez-Breva · Luis E Ortiz · Chen-Hsiang Yeang · Tommi Jaakkola
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Mutagenetic tree Fisher kernel improves prediction of HIV drug resistance from viral genotype
Tobias Sing · Niko Beerenwinkel
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Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization
David Wipf · Rey R Ramirez · Jason A Palmer · Scott Makeig · Bhaskar Rao
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Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure
Jennifer Listgarten · Radford M Neal · Sam T Roweis · Rachel Puckrin · Sean Cutler
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A recipe for optimizing a time-histogram
Hideaki Shimazaki · Shigeru Shinomoto
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Logistic Regression for Single Trial EEG Classification
Ryota Tomioka · Kazuyuki Aihara · Klaus-Robert Müller
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Bayesian Image Super-resolution, Continued
Lyndsey C Pickup · David Capel · Stephen J Roberts · Andrew Zisserman
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Speakers optimize information density through syntactic reduction
Roger Levy · T. Florian Jaeger
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Subordinate class recognition using relational object models
Aharon Bar Hillel · Daphna Weinshall
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Single Channel Speech Separation Using Layered Hidden Markov Models
John R Hershey · Trausti Kristjansson · Steven J Rennie · Peder A Olsen
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Approximate Correspondences in High Dimensions
Kristen Grauman · Trevor Darrell
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A Humanlike Predictor of Facial Attractiveness
Amit Kagian · Gideon Dror · Tommer Leyvand · Daniel Cohen-Or · Eytan Ruppin
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