Lin, Kaixiang

10 publications

ICLR 2025 Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs Siyan Zhao, Mingyi Hong, Yang Liu, Devamanyu Hazarika, Kaixiang Lin

ICML 2025 Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery for Foundation Model Internet Agents Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou, Yu-Xiong Wang, Sergey Levine, Li Erran Li

NeurIPSW 2024 LLM Alignment Through Successive Policy Re-Weighting (SPR) Xinnan Zhang, Siliang Zeng, Jiaxiang Li, Kaixiang Lin, Mingyi Hong

JAIR 2023 A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg Zhaonan Qu, Kaixiang Lin, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou

TMLR 2022 Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai

ICLRW 2022 Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning Tongzhou Mu, Kaixiang Lin, Feiyang Niu, Govind Thattai

AAAI 2022 Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-Optimal Demonstrations Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

IJCAI 2021 RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou

NeurIPS 2020 Off-Policy Imitation Learning from Observations Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou

ICLR 2020 Ranking Policy Gradient Kaixiang Lin, Jiayu Zhou