Kan Xu
Department of Information Systems
W. P. Carey School of Business
Arizona State University
Tempe, AZ 85287
kanxu1 [AT] asu [DOT] edu
Working Papers
Multitask Learning and Bandits via Robust Statistics
(with Hamsa Bastani)
Major 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)
Online Learning in Matching Market through Matrix Completion
(with Zhiyuan Tang and Wanning Chen)
- Presented at: MIT CODE 2023
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)