Hung, Yu Heng

6 publications

ICLR 2026 Test-Time Alignment for Large Language Models via Textual Model Predictive Control Kuang-Da Wang, Teng-Ruei Chen, Yu Heng Hung, Guo-Xun Ko, Shuoyang Ding, Yueh-Hua Wu, Yu-Chiang Frank Wang, Chao-Han Huck Yang, Wen-Chih Peng, Ping-Chun Hsieh

ICLR 2025 BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Yu Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Cheng Sun, Ping-Chun Hsieh

ICMLW 2024 BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Yu Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Ping-Chun Hsieh

AAAI 2023 Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective Yu-Heng Hung, Ping-Chun Hsieh

AAAI 2021 Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar

ICML 2020 Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits Xi Liu, Ping-Chun Hsieh, Yu Heng Hung, Anirban Bhattacharya, P. Kumar