ML Anthology

Xu, Zaiyan

5 publications

L4DC 2025 Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh
NeurIPS 2025 Robust LLM Alignment via Distributionally Robust Direct Preference Optimization Zaiyan Xu, Sushil Vemuri, Kishan Panaganti, Dileep Kalathil, Rahul Jain, Deepak Ramachandran
ICMLW 2024 Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh
AISTATS 2023 Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning Zaiyan Xu, Kishan Panaganti, Dileep Kalathil
NeurIPS 2022 Robust Reinforcement Learning Using Offline Data Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh