Papers
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
Alekh Agarwal, Daniel Hsu, Satyen Kale et al.
Learnability of the Superset Label Learning Problem
Liping Liu, Thomas Dietterich
Multiresolution Matrix Factorization
Risi Kondor, Nedelina Teneva, Vikas Garg
On learning to localize objects with minimal supervision
Hyun Oh Song, Ross Girshick, Stefanie Jegelka et al.
Gaussian Approximation of Collective Graphical Models
Liping Liu, Daniel Sheldon, Thomas Dietterich
Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm
Jacob Steinhardt, Percy Liang
A Bayesian Framework for Online Classifier Ensemble
Qinxun Bai, Henry Lam, Stan Sclaroff
Weighted Graph Clustering with Non-Uniform Uncertainties
Yudong Chen, Shiau Hong Lim, Huan Xu
Online Stochastic Optimization under Correlated Bandit Feedback
Mohammad Gheshlaghi azar, Alessandro Lazaric, Emma Brunskill
Dynamic Programming Boosting for Discriminative Macro-Action Discovery
Leonidas Lefakis, Francois Fleuret
Riemannian Pursuit for Big Matrix Recovery
Mingkui Tan, Ivor W. Tsang, Li Wang et al.
The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation
Sven Kurras, Ulrike Luxburg, Gilles Blanchard
Pursuit-Evasion Without Regret, with an Application to Trading
Lili Dworkin, Michael Kearns, Yuriy Nevmyvaka
Probabilistic Matrix Factorization with Non-random Missing Data
Jose Miguel Hernandez-Lobato, Neil Houlsby, Zoubin Ghahramani
Programming by Feedback
Marc Schoenauer, Riad Akrour, Michele Sebag et al.
Fast Multi-stage Submodular Maximization
Kai Wei, Rishabh Iyer, Jeff Bilmes
Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations
David Barber, Yali Wang
Marginalized Denoising Auto-encoders for Nonlinear Representations
Minmin Chen, Kilian Weinberger, Fei Sha et al.
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians
Christopher Tosh, Sanjoy Dasgupta
Skip Context Tree Switching
Marc Bellemare, Joel Veness, Erik Talvitie
Probabilistic Partial Canonical Correlation Analysis
Yusuke Mukuta, Harada
Learning Modular Structures from Network Data and Node Variables
Elham Azizi, Edoardo Airoldi, James Galagan
Learning to Disentangle Factors of Variation with Manifold Interaction
Scott Reed, Kihyuk Sohn, Yuting Zhang et al.
A Kernel Independence Test for Random Processes
Kacper Chwialkowski, Arthur Gretton