Papers
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
Alexandra Carpentier, Remi Munos
Optimistic planning for Markov decision processes
Lucian Busoniu, Remi Munos
On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark Schmidt, Shakir Mohamed et al.
A Family of MCMC Methods on Implicitly Defined Manifolds
Marcus Brubaker, Mathieu Salzmann, Raquel Urtasun
Sample Complexity of Composite Likelihood
Joseph Bradley, Carlos Guestrin
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Antoine Bordes, Xavier Glorot, Jason Weston et al.
History-alignment models for bias-aware prediction of virological response to HIV combination therapy
Jasmina Bogojeska, Daniel Stockel, Maurizio Zazzi et al.
CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels
Wei Bian, Bo Xie, Dacheng Tao
Controlling Selection Bias in Causal Inference
Elias Bareinboim, Judea Pearl
Adaptive Metropolis with Online Relabeling
Remi Bardenet, Olivier Cappe, Gersende Fort et al.
A General Framework for Structured Sparsity via Proximal Optimization
Luca Baldassarre, Jean Morales, Andreas Argyriou et al.
Minimax rates for homology inference
Sivaraman Balakrishnan, Alesandro Rinaldo, Don Sheehy et al.
Graphlet decomposition of a weighted network
Hossein Azari Soufiani, Edo Airoldi
Memory-efficient inference in dynamic graphical models using multiple cores
Galen Andrew, Jeff Bilmes
Factorized Diffusion Map Approximation
Saeed Amizadeh, Hamed Valizadegan, Milos Hauskrecht
Sparse Higher-Order Principal Components Analysis
Genevera Allen
Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudik, Satyen Kale et al.
Discriminative Mixtures of Sparse Latent Fields for Risk Management
Felix Agakov, Peter Orchard, Amos Storkey
Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits
Yasin Abbasi-Yadkori, David Pal, Csaba Szepesvari
Multi-view Positive and Unlabeled Learning
Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao et al.
Online Rank Aggregation
Shota Yasutake, Kohei Hatano, Eiji Takimoto et al.
Practical Large Scale Classification with Additive Kernels
Hao Yang, Jianxin Wu
Multi-objective Monte-Carlo Tree Search
Weijia Wang, Michèle Sebag
Spatial Locality-Aware Sparse Coding and Dictionary Learning
Jiang Wang, Junsong Yuan, Zhouyuan Chen et al.