Papers
Online Classification with Specificity Constraints
Andrey Bernstein, Shie Mannor, Nahum Shimkin
Online Learning for Latent Dirichlet Allocation
Matthew Hoffman, Francis R. Bach, David M. Blei
Online Learning in The Manifold of Low-Rank Matrices
Uri Shalit, Daphna Weinshall, Gal Chechik
Online Learning: Random Averages, Combinatorial Parameters, and Learnability
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
Online Markov Decision Processes under Bandit Feedback
Gergely Neu, Andras Antos, András György et al.
On the Convexity of Latent Social Network Inference
Seth Myers, Jure Leskovec
On the Theory of Learnining with Privileged Information
Dmitry Pechyony, Vladimir Vapnik
Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets
Paolo Viappiani, Craig Boutilier
Optimal learning rates for Kernel Conjugate Gradient regression
Gilles Blanchard, Nicole Krämer
Optimal Web-Scale Tiering as a Flow Problem
Gilbert Leung, Novi Quadrianto, Kostas Tsioutsiouliklis et al.
Over-complete representations on recurrent neural networks can support persistent percepts
Shaul Druckmann, Dmitri B. Chklovskii
PAC-Bayesian Model Selection for Reinforcement Learning
Mahdi M. Fard, Joelle Pineau
Parallelized Stochastic Gradient Descent
Martin Zinkevich, Markus Weimer, Lihong Li et al.
Parametric Bandits: The Generalized Linear Case
Sarah Filippi, Olivier Cappe, Aurélien Garivier et al.
Penalized Principal Component Regression on Graphs for Analysis of Subnetworks
Ali Shojaie, George Michailidis
Permutation Complexity Bound on Out-Sample Error
Malik Magdon-Ismail
Phoneme Recognition with Large Hierarchical Reservoirs
Fabian Triefenbach, Azarakhsh Jalalvand, Benjamin Schrauwen et al.
Phone Recognition with the Mean-Covariance Restricted Boltzmann Machine
George Dahl, Marc'aurelio Ranzato, Abdel-rahman Mohamed et al.
Policy gradients in linearly-solvable MDPs
Emanuel Todorov
Pose-Sensitive Embedding by Nonlinear NCA Regression
Graham W. Taylor, Rob Fergus, George Williams et al.
Practical Large-Scale Optimization for Max-norm Regularization
Jason Lee, Ben Recht, Nathan Srebro et al.
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression
Ling Huang, Jinzhu Jia, Bin Yu et al.
Predictive State Temporal Difference Learning
Byron Boots, Geoffrey J. Gordon
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach
Ning Chen, Jun Zhu, Eric P. Xing
Probabilistic Belief Revision with Structural Constraints
Peter Jones, Venkatesh Saligrama, Sanjoy Mitter