Papers
Progressive mixture rules are deviation suboptimal
Jean-yves Audibert
Collapsed Variational Inference for HDP
Yee W. Teh, Kenichi Kurihara, Max Welling
Learning Visual Attributes
Vittorio Ferrari, Andrew Zisserman
Spatial Latent Dirichlet Allocation
Xiaogang Wang, Eric Grimson
Selecting Observations against Adversarial Objectives
Andreas Krause, Brendan Mcmahan, Carlos Guestrin et al.
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
Ben Blum, David Baker, Michael I. Jordan et al.
Catching Change-points with Lasso
Céline Levy-leduc, Zaïd Harchaoui
A neural network implementing optimal state estimation based on dynamic spike train decoding
Omer Bobrowski, Ron Meir, Shy Shoham et al.
Object Recognition by Scene Alignment
Bryan Russell, Antonio Torralba, Ce Liu et al.
Parallelizing Support Vector Machines on Distributed Computers
Kaihua Zhu, Hao Wang, Hongjie Bai et al.
A Bayesian Framework for Cross-Situational Word-Learning
Noah Goodman, Joshua B. Tenenbaum, Michael J. Black
Extending position/phase-shift tuning to motion energy neurons improves velocity discrimination
Yiu M. Lam, Bertram E. Shi
Agreement-Based Learning
Percy Liang, Dan Klein, Michael I. Jordan
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
Sennay Ghebreab, Arnold Smeulders, Pieter Adriaans
Blind channel identification for speech dereverberation using l1-norm sparse learning
Yuanqing Lin, Jingdong Chen, Youngmoo Kim et al.
Fitted Q-iteration in continuous action-space MDPs
András Antos, Csaba Szepesvári, Rémi Munos
Efficient Inference for Distributions on Permutations
Jonathan Huang, Carlos Guestrin, Leonidas Guibas
Density Estimation under Independent Similarly Distributed Sampling Assumptions
Tony Jebara, Yingbo Song, Kapil Thadani
Probabilistic Matrix Factorization
Andriy Mnih, Ruslan Salakhutdinov
Discriminative Keyword Selection Using Support Vector Machines
Fred Richardson, William M. Campbell
A Kernel Statistical Test of Independence
Arthur Gretton, Kenji Fukumizu, Choon H. Teo et al.
Supervised Topic Models
Jon D. Mcauliffe, David M. Blei
Bayesian Co-Training
Shipeng Yu, Balaji Krishnapuram, Harald Steck et al.
Privacy-Preserving Belief Propagation and Sampling
Michael Kearns, Jinsong Tan, Jennifer Wortman