Organized by Statistics graduate students, this series features discussions of recent statistics and machine learning papers. To receive announcements about upcoming events in this series, subscribe to our mailing list. Send an email message to statgradresearch-Lfirstname.lastname@example.org, with "join" in the Subject line. Leave the body of the message blank.
For 2017 Fall semester, the reading group takes place on every Monday from 5:00pm to 6:00pm at Malott 203. To propose a reading group paper, contact the organizer, Yichen Zhou at yz793[at]cornell[dot]edu. For reading group participants to view the papers, check out this repository.
09/11 - Deterministic Policy Gradient Algorithms
09/18 - Stochastic Gradient Hamiltonian Monte Carlo
09/25 - Evolution Strategies as a Scalable Alternative to Reinforcement Learning
10/02 - Lasso Meets Horseshoe
10/16 - Learning How to Active Learn: A Deep Reinforcement Learning Approach
10/23 - Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline
10/30 - Mastering the Game of Go without Human Knowledge
11/06 - A Complete Recipe for Stochastic Gradient MCMC
11/13 - Microarrays, Empirical Bayes and the Two-Groups Model