Papers
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction
Kwang I. Kim, Florian Steinke, Matthias Hein
Boosting with Spatial Regularization
Yongxin Xi, Uri Hasson, Peter J. Ramadge et al.
Indian Buffet Processes with Power-law Behavior
Yee W. Teh, Dilan Gorur
Structural inference affects depth perception in the context of potential occlusion
Ian Stevenson, Konrad Koerding
A Bayesian Analysis of Dynamics in Free Recall
Richard Socher, Samuel Gershman, Per Sederberg et al.
Bayesian estimation of orientation preference maps
Sebastian Gerwinn, Leonard White, Matthias Kaschube et al.
Local Rules for Global MAP: When Do They Work ?
Kyomin Jung, Pushmeet Kohli, Devavrat Shah
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units
Feng Yan, Ningyi Xu, Yuan Qi
Robust Value Function Approximation Using Bilinear Programming
Marek Petrik, Shlomo Zilberstein
Accelerated Gradient Methods for Stochastic Optimization and Online Learning
Chonghai Hu, Weike Pan, James T. Kwok
The Infinite Partially Observable Markov Decision Process
Finale Doshi-velez
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
Steven Chase, Andrew Schwartz, Wolfgang Maass et al.
An Online Algorithm for Large Scale Image Similarity Learning
Gal Chechik, Uri Shalit, Varun Sharma et al.
Conditional Neural Fields
Jian Peng, Liefeng Bo, Jinbo Xu
Learning Non-Linear Combinations of Kernels
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Bayesian Source Localization with the Multivariate Laplace Prior
Marcel V. Gerven, Botond Cseke, Robert Oostenveld et al.
Multiple Incremental Decremental Learning of Support Vector Machines
Masayuki Karasuyama, Ichiro Takeuchi
Learning to Explore and Exploit in POMDPs
Chenghui Cai, Xuejun Liao, Lawrence Carin
A Rate Distortion Approach for Semi-Supervised Conditional Random Fields
Yang Wang, Gholamreza Haffari, Shaojun Wang et al.
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs
Alexandre Bouchard-côté, Slav Petrov, Dan Klein
Know Thy Neighbour: A Normative Theory of Synaptic Depression
Jean-pascal Pfister, Peter Dayan, Máté Lengyel
An Additive Latent Feature Model for Transparent Object Recognition
Mario Fritz, Gary Bradski, Sergey Karayev et al.
Learning a Small Mixture of Trees
M. P. Kumar, Daphne Koller
Training Factor Graphs with Reinforcement Learning for Efficient MAP Inference
Khashayar Rohanimanesh, Sameer Singh, Andrew McCallum et al.