• Home
• CV
• Research
• Students

Working Papers

Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings
Kan Xu, Xuanyi Zhao, Hamsa Bastani, Osbert Bastani
Major Revision, Management Science
- Preliminary version in ICML, 2021

Optimal Multitask Linear Regression and Contextual Bandits under Sparse Heterogeneity
Xinmeng Huang, Kan Xu, Donghwan Lee, Hamed Hassani, Hamsa Bastani, Edgar Dobriban
Moderate Revision, Journal of the American Statistical Association

Match Made with Matrix Completion: Efficient Offline and Online Learning in Matching Markets
Zhiyuan Tang, Wanning Chen, Kan Xu

Two-Stage Maximum Score Estimator
Wayne Gao, Sheng Xu, Kan Xu

Robust Generalization of Quadratic Neural Networks via Function Identification
Kan Xu, Hamsa Bastani, Osbert Bastani
- Presented at: ICML UDL Workshop 2021, ICML OPPO Workshop 2021

Journal Publications

Multitask Learning and Bandits via Robust Statistics
Kan Xu, Hamsa Bastani
Management Science (Forthcoming)
3rd Place, IBM Service Science Best Student Paper Award (2022)

Refereed Conference Publications

Stochastic Bandits with ReLU Neural Networks
Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert Bastani
International Conference on Machine Learning (ICML), 2024
[Code]

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

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

Software

R Package: EbayesThresh
Kan Xu, Peter Carbonetto, Matthew Stephens, Bernard W. Silverman, Ludger Evers