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Working Papers

Multitask Learning and Bandits via Robust Statistics
(with Hamsa Bastani)
Minor Revision, Management Science
3rd Place, IBM Service Science Best Student Paper Award (2022)
- Presented at: MIT CODE 2023

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
(with Xuanyi Zhao, Hamsa Bastani and Osbert Bastani)
Major Revision, Management Science
- Preliminary version in ICML, 2021
- Presented at: CIST 2023

Safely Bridging Offline and Online Reinforcement Learning
(with Wanqiao Xu, Hamsa Bastani and Osbert Bastani)
- Preliminary version in AISTATS, 2023
- Presented at: ICML RL4RealLife Workshop 2021, ICML RL Theory Workshop 2021, RLDM Conference 2022

Robust Generalization of Quadratic Neural Networks via Function Identification
(with Hamsa Bastani and Osbert Bastani)
- Presented at: ICML UDL Workshop 2021, ICML OPPO Workshop 2021

Two-Stage Maximum Score Estimator
(with Wayne Gao and Sheng Xu)

Publications

Uniformly Conservative Exploration in Reinforcement Learning
(with Wanqiao Xu, Jason Yecheng Ma, Hamsa Bastani and Osbert Bastani)
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
(with Xuanyi Zhao, Hamsa Bastani and Osbert Bastani)
International Conference on Machine Learning (ICML), 2021

Software

R Package: EbayesThresh
(with Bernard W. Silverman, Ludger Evers, Peter Carbonetto and Matthew Stephens)