Papers
Optimal Allocation Strategies for the Dark Pool Problem
Alekh Agarwal, Peter Bartlett, Max Dama
Parallelizable Sampling of Markov Random Fields
James Martens, Ilya Sutskever
Parametric Herding
Yutian Chen, Max Welling
Posterior distributions are computable from predictive distributions
Cameron Freer, Daniel Roy
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Shengbo Guo, Scott Sanner
Reduced-Rank Hidden Markov Models
Sajid Siddiqi, Byron Boots, Geoffrey Gordon
Reducing Label Complexity by Learning From Bags
Sivan Sabato, Nathan Srebro, Naftali Tishby
REGO: Rank-based Estimation of Renyi Information using Euclidean Graph Optimization
Barnabas Poczos, Sergey Kirshner, Csaba Szepesvári
Regret Bounds for Gaussian Process Bandit Problems
Steffen Grünewälder, Jean–Yves Audibert, Manfred Opper et al.
Risk Bounds for Levy Processes in the PAC-Learning Framework
Chao Zhang, Dacheng Tao
Semi-Supervised Learning via Generalized Maximum Entropy
Ayse Erkan, Yasemin Altun
Semi-Supervised Learning with Max-Margin Graph Cuts
Branislav Kveton, Michal Valko, Ali Rahimi et al.
Sequential Monte Carlo Samplers for Dirichlet Process Mixtures
Yener Ulker, Bilge Günsel, Taylan Cemgil
Simple Exponential Family PCA
Jun Li, Dacheng Tao
Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms
Nevena Lazic, Brendan Frey, Parham Aarabi
State-Space Inference and Learning with Gaussian Processes
Ryan Turner, Marc Deisenroth, Carl Rasmussen
Structured Prediction Cascades
David Weiss, Benjamin Taskar
Structured Sparse Principal Component Analysis
Rodolphe Jenatton, Guillaume Obozinski, Francis Bach
Sufficient covariates and linear propensity analysis
Hui Guo, Philip Dawid
Sufficient Dimension Reduction via Squared-loss Mutual Information Estimation
Taiji Suzuki, Masashi Sugiyama
Supervised Dimension Reduction Using Bayesian Mixture Modeling
Kai Mao, Feng Liang, Sayan Mukherjee
Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines
Guillaume Desjardins, Aaron Courville, Yoshua Bengio et al.
The Feature Selection Path in Kernel Methods
Fuxin Li, Cristian Sminchisescu