Papers
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
Improved Algorithms for Linear Stochastic Bandits
Yasin Abbasi-yadkori, Dávid Pál, Csaba Szepesvári
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity
Maneesh Bhand, Ritvik Mudur, Bipin Suresh et al.
Clustering via Dirichlet Process Mixture Models for Portable Skill Discovery
Scott Niekum, Andrew G. Barto
A blind sparse deconvolution method for neural spike identification
Chaitanya Ekanadham, Daniel Tranchina, Eero P. Simoncelli
Transfer Learning by Borrowing Examples for Multiclass Object Detection
Joseph J. Lim, Ruslan Salakhutdinov, Antonio Torralba
Blending Autonomous Exploration and Apprenticeship Learning
Thomas J. Walsh, Daniel K. Hewlett, Clayton T. Morrison
Selective Prediction of Financial Trends with Hidden Markov Models
Dmitry Pidan, Ran El-Yaniv
Learning a Distance Metric from a Network
Blake Shaw, Bert Huang, Tony Jebara
Kernel Embeddings of Latent Tree Graphical Models
Le Song, Eric P. Xing, Ankur P. Parikh