Papers
Learning Parts-Based Representations of Data
David A. Ross, Richard S. Zemel
Point-Based Value Iteration for Continuous POMDPs
Josep M. Porta, Nikos Vlassis, Matthijs T.J. Spaan et al.
Causal Graph Based Decomposition of Factored MDPs
Anders Jonsson, Andrew Barto
An Efficient Implementation of an Active Set Method for SVMs
Katya Scheinberg
Learning a Hidden Hypergraph
Dana Angluin, Jiang Chen
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
A Hierarchy of Support Vector Machines for Pattern Detection
Hichem Sahbi, Donald Geman
Distance Patterns in Structural Similarity
Thomas Kä
Walk-Sums and Belief Propagation in Gaussian Graphical Models
Dmitry M. Malioutov, Jason K. Johnson, Alan S. Willsky
A Linear Non-Gaussian Acyclic Model for Causal Discovery
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvä
Learning Spectral Clustering, With Application To Speech Separation
Francis R. Bach, Michael I. Jordan
A Simulation-Based Algorithm for Ergodic Control of Markov Chains Conditioned on Rare Events
Shalabh Bhatnagar, Vivek S. Borkar, Madhukar Akarapu
Incremental Support Vector Learning: Analysis, Implementation and Applications
Pavel Laskov, Christian Gehl, Stefan Krüger et al.
Linear Programming Relaxations and Belief Propagation -- An Empirical Study
Chen Yanover, Talya Meltzer, Yair Weiss
Streamwise Feature Selection
Jing Zhou, Dean P. Foster, Robert A. Stine et al.
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting
Martin J. Wainwright
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
Jelle R. Kok, Nikos Vlassis
Learning Factor Graphs in Polynomial Time and Sample Complexity
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
Considering Cost Asymmetry in Learning Classifiers
Francis R. Bach, David Heckerman, Eric Horvitz
Large Scale Transductive SVMs
Ronan Collobert, Fabian Sinz, Jason Weston et al.
Active Learning with Feedback on Features and Instances
Hema Raghavan, Omid Madani, Rosie Jones
Structured Prediction, Dual Extragradient and Bregman Projections
Ben Taskar, Simon Lacoste-Julien, Michael I. Jordan