Papers
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris
Victor Gabillon, Mohammad Ghavamzadeh, Bruno Scherrer
The Pareto Regret Frontier
Wouter M. Koolen
Supervised Sparse Analysis and Synthesis Operators
Pablo Sprechmann, Roee Litman, Tal Ben Yakar et al.
Understanding Dropout
Pierre Baldi, Peter J Sadowski
Correlations strike back (again): the case of associative memory retrieval
Cristina Savin, Peter Dayan, Mate Lengyel
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach
Zhenwen Dai, Georgios Exarchakis, Jörg Lücke
Universal models for binary spike patterns using centered Dirichlet processes
ll Memming Park, Evan W Archer, Kenneth Latimer et al.
A Comparative Framework for Preconditioned Lasso Algorithms
Fabian L. Wauthier, Nebojsa Jojic, Michael I Jordan
Near-Optimal Entrywise Sampling for Data Matrices
Dimitris Achlioptas, Zohar S Karnin, Edo Liberty
Optimal Neural Population Codes for High-dimensional Stimulus Variables
Zhuo Wang, Alan Stocker, Daniel D Lee
Embed and Project: Discrete Sampling with Universal Hashing
Stefano Ermon, Carla P. Gomes, Ashish Sabharwal et al.
Stochastic Optimization of PCA with Capped MSG
Raman Arora, Andy Cotter, Nati Srebro
Forgetful Bayes and myopic planning: Human learning and decision-making in a bandit setting
Shunan Zhang, Angela J. Yu
(More) Efficient Reinforcement Learning via Posterior Sampling
Ian Osband, Daniel Russo, Benjamin Van Roy
Decision Jungles: Compact and Rich Models for Classification
Jamie Shotton, Toby Sharp, Pushmeet Kohli et al.
Error-Minimizing Estimates and Universal Entry-Wise Error Bounds for Low-Rank Matrix Completion
Franz Kiraly, Louis Theran
Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation
Bogdan Savchynskyy, Jörg Hendrik Kappes, Paul Swoboda et al.
Bayesian inference for low rank spatiotemporal neural receptive fields
Mijung Park, Jonathan W Pillow
Online learning in episodic Markovian decision processes by relative entropy policy search
Alexander Zimin, Gergely Neu
Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty
Haichao Zhang, David Wipf
Gaussian Process Conditional Copulas with Applications to Financial Time Series
José Miguel Hernández-Lobato, James R Lloyd, Daniel Hernández-Lobato
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests
Yacine Jernite, Yonatan Halpern, David Sontag
Online Learning of Dynamic Parameters in Social Networks
Shahin Shahrampour, Sasha Rakhlin, Ali Jadbabaie
Convex Relaxations for Permutation Problems
Fajwel Fogel, Rodolphe Jenatton, Francis Bach et al.