Machine learning: Trends, perspectives, and prospects

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

A scalable bootstrap for massive data

(2014) Ariel Kleiner et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses

(2014) Leila Wehbe et al.   PLoS One

Optimal detection of sparse principal components in high dimension

(2013) Quentin Berthet et al.   ANNALS OF STATISTICS

Computational and statistical tradeoffs via convex relaxation

(2013) V. Chandrasekaran et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Probabilistic topic models

(2012) David M. Blei   COMMUNICATIONS OF THE ACM