Robust Contracts in Experiment-Driven Companies: Screening through Incentive Alignment
International Conference of the Chinese Scholars Association for Management Science and Engineering (CSAMSE), July 2024.
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
2024 International Conference on Frontiers of Data Science, July 2024.
Experimental Design For One-sided Matching Marketplaces
Stanford Student OR Seminar, March 2024.
ChicagoBooth PostDoc OR-STATS Seminar, May 2024.
INFORMS MSOM 2024 Conference, June 2024.
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On the Foundation of Distributionally Robust Reinforcement Learning
INFORMS Optimization Society (IOS) Conference, March 2024.
New Perspectives on Data Science with Imperfect Data, November 2023.
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Interference by Feedback Loops: Challenges in the Counterfactual Interleaving Design
Conference on Digital Experimentation (CODE), November 2023.
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Expansion of Interference w.r.t. Tightness and a Linear Regression Estimator for Multiple Two-Sided Randomizations
International Conference of the Chinese Scholars Association for Management Science and Engineering (CSAMSE), July 2023.
INFORMS Annual Meeting, October 2023.
Drift Control of High-Dimensional RBM: A Computational Method based on Neural Networks
SIAM Conference on Optimization (OP23), June 2023.
INFORMS Applied Probability Society Conference (APS), June 2023.
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Optimal Transport in Data Science: Theory and Applications
Statistics Seminar, Guanghua School of Management, PKU, October 2022.
Seminar on Data Science and Applied Mathematics, Department of Mathematics, HKUST, April 2023.
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A/B Tests Under a Safety Budget: A Simulation-Optimization Point of View
INFORMS Annual Meeting, October 2022.
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Distributionally Robust Batch Contextual Bandits
INFORMS Annual Meeting, October 2021.
The Thirteenth International Conference of the Chinese Scholars Association for Management Science and Engineering (CSAMSE), July 2021.
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Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits
INFORMS Annual Meeting, November 2020.
International Conference on Machine Learning (ICML), July 2020.
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Efficient Steady-state Simulation of High-dimensional Stochastic Networks
INFORMS Annual Meeting, November 2020.
Stochastic Systems Seminar, May 2023.
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Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
Neural Information Processing Systems (NeurIPS), December 2020.
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Confidence Regions in Wasserstein Distributionally Robust Estimation
INFORMS Annual Meeting, October 2019.
International Conference on Continuous Optimization (ICCOPT), August 2019.
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