Wenzhuo Zhou
Invited Talks
(Job talks) “Actor-Critic Graph Neural Networks: A Complete Recipe for Neural Decoding.”
Yale University, Dartmouth College, Purdue University (School of Business),
University of California Los Angeles, University of North Carolina at Chapel Hill,
University of California Irvine, Columbia University, University of California Davis
(Dec 2023) “Bi-Level Offline Policy Optimization with Limited Exploration.”
Thirty-seventh Conference on Neural Information Processing Systems, New Orleans.
(Nov 2023) “Bi-Level Offline Policy Optimization with Limited Exploration.”
Research Seminar at Reinforcement Learning Group in London School of Economics and Political Science, London.
(Nov 2023) “A Model-Agnostic Graph Neural Network for Integrating Local and Global Information.”
IMS Young Mathematical Scientist Forum, Singapore.
(Oct 2023) “A Model-Agnostic Graph Neural Network for Integrating Local and Global Information.”
INFORMS Annual Meeting, Phoenix, AZ.
(Sep 2023) “A Model-Agnostic Graph Neural Network for Integrating Local and Global Information.”
Orange County ASA Biostatistics Symposium, Irvine, CA.
(Aug 2023) “Distributional Shift-Aware Off-Policy Interval Estimation.”
ICSA China Conference, China.
(June 2023) “Distributional Shift-Aware Off-Policy Interval Estimation.”
ICSA Applied Statistics Symposium, Ann Arbor, MI.
(May 2023) “Quasi-optimal Reinforcement Learning with Continuous Actions.”
International Conference on Learning Representations, Kigali, Rwanda (Virtual).
(March 2023) “A Model-Agnostic Graph Neural Network for Integrating Local and Global Information.”
Biostat Workshop at School of Public Health UCLA, Los Angeles, CA.
(Oct 2022) “Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning.”
Center for Data Science, Zhejiang University, China (Virtual).
(March 2022) “Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning.”
Department of Statistics, East China Normal University, China (Virtual).
(Jan 2022) “Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data.” SDSA Research Seminar, Champaign, IL.
(Sep 2021) “Solving Infinite Horizon Dynamic Treatment Regimes: A Temporal Consistency Learning Framework.” ICSA Applied Statistics Symposium, Online.
(Aug 2019) “Parsimonious Personalized Dose-finding Model via Dimension Reduction.” JSM, Denver, CO.
Contributed Talks
(May 2022) “Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning.”
New England Statistics Symposium, Hartford, CT (Virtual).
(June 2019) “A Dimension Reduction Framework for Personalized Dose-Finding.”
ICSA Applied Statistics Symposium, Raleigh, NC.