Glynn, Peter W.

7 publications

NeurIPS 2021 Modified Frank Wolfe in Probability Space Carson Kent, Jiajin Li, Jose Blanchet, Peter W Glynn

NeurIPS 2020 Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach Peter W. Glynn, Ramesh Johari, Mohammad Rasouli

NeurIPS 2019 Multivariate Distributionally Robust Convex Regression Under Absolute Error Loss Jose Blanchet, Peter W. Glynn, Jun Yan, Zhengqing Zhou

NeurIPS 2018 Learning in Games with Lossy Feedback Zhengyuan Zhou, Panayotis Mertikopoulos, Susan Athey, Nicholas Bambos, Peter W. Glynn, Yinyu Ye

NeurIPS 2017 Countering Feedback Delays in Multi-Agent Learning Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Peter W. Glynn, Claire Tomlin

NeurIPS 2017 Stochastic Mirror Descent in Variationally Coherent Optimization Problems Zhengyuan Zhou, Panayotis Mertikopoulos, Nicholas Bambos, Stephen Boyd, Peter W. Glynn

NeurIPS 2000 Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio Choice Dirk Ormoneit, Peter W. Glynn