Talks

Doubly High-Dimensional Contextual Bandits: An Interpretable Model with Applications to Assortment/Pricing

Invited talk at Department of Technology, Operations, and Statistics, New York University, 2024

Invited talk at Department of Statistics, Univesity of California, Davis, 2024

Invited talk at Department of Statistics and Data Science, Washington University in St. Louis, 2024

Invited talk at Department of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, 2024

Invited talk at Department of Statistics, Univesity of Washington, 2023

Invited talk at Department of Statistics, Harvard University, 2023

Invited talk at INFOMRS, Phoenix, AZ, USA, 2023

Invited talk at Informs Business Analytics Conference, Aurora, CO, USA, 2023

Personalized Reinforcement Learning: With Applications to Business

Invited talk at Joint Statistical Meeting (JSM), Toronto, Canada, 2023

High-dimensional Continuum Armed and High-dimensional Contextual Bandit: With Applications to Assortment and Pricing

Invited talk at Wharton Customer Analytics with Master Kong Food Company, Philadelphia, PA, USA, 2022

Statistics, Optimization, and Machine Learning: with Applications in Economics and Business

Invited talk at Department of Business Economic and Public Policy, The Wharton School, Philadelphia, PA, USA, 2022

Estimation and Inference for Convex Functions and Computational Efficiency in High Dimensional Statistics

PhD Dissertation Defense at Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA, 2022

Crowdsourcing: Beyond Dawid Skene Model

at Joint Statistical Meeting, Philadelphia, PA, USA, 2020

Heterogeneous Treatment Effect Estimation through Deep Learning

Invited talk at Joint Statistical Meeting, Vancouver, Canada, 2018