Papers
Extreme bandits
Alexandra Carpentier, Michal Valko
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices
Jianbo Yang, Xuejun Liao, Minhua Chen et al.
Dimensionality Reduction with Subspace Structure Preservation
Devansh Arpit, Ifeoma Nwogu, Venu Govindaraju
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
Mario Marchand, Hongyu Su, Emilie Morvant et al.
Sequential Monte Carlo for Graphical Models
Christian Andersson Naesseth, Fredrik Lindsten, Thomas B Schön
Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs
David I Inouye, Pradeep K Ravikumar, Inderjit S Dhillon
Exact Post Model Selection Inference for Marginal Screening
Jason Lee, Jonathan E Taylor
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization
Meisam Razaviyayn, Mingyi Hong, Zhi-Quan Luo et al.
Covariance shrinkage for autocorrelated data
Daniel Bartz, Klaus-Robert Müller
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning
Marek Petrik, Dharmashankar Subramanian
SerialRank: Spectral Ranking using Seriation
Fajwel Fogel, Alexandre d'Aspremont, Milan Vojnovic
Difference of Convex Functions Programming for Reinforcement Learning
Bilal Piot, Matthieu Geist, Olivier Pietquin
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning
Brendan McMahan, Matthew Streeter
Near-optimal Reinforcement Learning in Factored MDPs
Ian Osband, Benjamin Van Roy
Extracting Latent Structure From Multiple Interacting Neural Populations
Joao Semedo, Amin Zandvakili, Adam Kohn et al.
Conditional Swap Regret and Conditional Correlated Equilibrium
Mehryar Mohri, Scott Yang
Optimal prior-dependent neural population codes under shared input noise
Agnieszka Grabska-Barwinska, Jonathan W Pillow
A Complete Variational Tracker
Ryan D Turner, Steven Bottone, Bhargav Avasarala
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers
Bruno Conejo, Nikos Komodakis, Sebastien Leprince et al.
Distance-Based Network Recovery under Feature Correlation
David Adametz, Volker Roth
Beyond Disagreement-Based Agnostic Active Learning
Chicheng Zhang, Kamalika Chaudhuri
Kernel Mean Estimation via Spectral Filtering
Krikamol Muandet, Bharath Sriperumbudur, Bernhard Schölkopf
Dependent nonparametric trees for dynamic hierarchical clustering
Kumar Avinava Dubey, Qirong Ho, Sinead A Williamson et al.
Optimizing Energy Production Using Policy Search and Predictive State Representations
Yuri Grinberg, Doina Precup, Michel Gendreau
Online Optimization for Max-Norm Regularization
Jie Shen, Huan Xu, Ping Li