Papers
Differentially Private M-Estimators
Jing Lei
Reconstructing Patterns of Information Diffusion from Incomplete Observations
Flavio Chierichetti, David Liben-nowell, Jon M. Kleinberg
Demixed Principal Component Analysis
Wieland Brendel, Ranulfo Romo, Christian K. Machens
Learning with the weighted trace-norm under arbitrary sampling distributions
Rina Foygel, Ohad Shamir, Nati Srebro et al.
Contextual Gaussian Process Bandit Optimization
Andreas Krause, Cheng S. Ong
An Unsupervised Decontamination Procedure For Improving The Reliability Of Human Judgments
Michael Mozer, Benjamin Link, Harold Pashler
Distributed Delayed Stochastic Optimization
Alekh Agarwal, John C. Duchi
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
Vikas Sindhwani, Aurelie C. Lozano
Monte Carlo Value Iteration with Macro-Actions
Zhan Lim, Lee Sun, David Hsu
Learning a Tree of Metrics with Disjoint Visual Features
Kristen Grauman, Fei Sha, Sung Ju Hwang
Learning to Search Efficiently in High Dimensions
Zhen Li, Huazhong Ning, Liangliang Cao et al.
Probabilistic Joint Image Segmentation and Labeling
Adrian Ion, Joao Carreira, Cristian Sminchisescu
Multiple Instance Learning on Structured Data
Dan Zhang, Yan Liu, Luo Si et al.
Randomized Algorithms for Comparison-based Search
Dominique Tschopp, Suhas Diggavi, Payam Delgosha et al.
Group Anomaly Detection using Flexible Genre Models
Liang Xiong, Barnabás Póczos, Jeff G. Schneider
On the accuracy of l1-filtering of signals with block-sparse structure
Fatma K. Karzan, Arkadi S. Nemirovski, Boris T. Polyak et al.
A Convergence Analysis of Log-Linear Training
Simon Wiesler, Hermann Ney
Inference in continuous-time change-point models
Florian Stimberg, Manfred Opper, Guido Sanguinetti et al.
Quasi-Newton Methods for Markov Chain Monte Carlo
Yichuan Zhang, Charles A. Sutton
Maximal Cliques that Satisfy Hard Constraints with Application to Deformable Object Model Learning
Xinggang Wang, Xiang Bai, Xingwei Yang et al.
Efficient Offline Communication Policies for Factored Multiagent POMDPs
João V. Messias, Matthijs Spaan, Pedro U. Lima
An Empirical Evaluation of Thompson Sampling
Olivier Chapelle, Lihong Li
Optimal Reinforcement Learning for Gaussian Systems
Philipp Hennig
From Bandits to Experts: On the Value of Side-Observations
Shie Mannor, Ohad Shamir