Yu-Heng Hung

11 papers A* 4Journal 6Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL.
ICLR
Yu-Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Cheng Sun, Ping-Chun Hsieh
2025 J jnl
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL.
CoRR
Yu-Heng Hung, Kai-Jie Lin, Yu-Heng Lin, Chien-Yi Wang, Cheng Sun, Ping-Chun Hsieh
2025 J jnl
Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee.
CoRR
Yu-Heng Hung, Ping-Chun Hsieh, Kai Wang
2025 J jnl
Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation.
CoRR
Kuang-Da Wang, Teng-Ruei Chen, Yu-Heng Hung, Shuoyang Ding, Yueh-Hua Wu, Yu-Chiang Frank Wang, Chao-Han Huck Yang, Wen-Chih Peng, Ping-Chun Hsieh
2023 A* conf
Reward-Biased Maximum Likelihood Estimation for Neural Contextual Bandits: A Distributional Learning Perspective.
AAAI
Yu-Heng Hung, Ping-Chun Hsieh
2023 — conf
Social Robots for Older Adults in Medical Contexts.
HCI (3)
Wen-I Lu, Yu-Wei Chen, Chin-Chen Shen, Ping-Hsuan Tsai, Yun-Tung Chu, Yu-Heng Hung, Shih-Yi Chien, Joyce Lee, Shiau-Fang Chao
2023 J jnl
Value-Biased Maximum Likelihood Estimation for Model-based Reinforcement Learning in Discounted Linear MDPs.
CoRR
Yu-Heng Hung, Ping-Chun Hsieh, Akshay Mete, P. R. Kumar
2022 J jnl
Neural Contextual Bandits via Reward-Biased Maximum Likelihood Estimation.
CoRR
Yu-Heng Hung, Ping-Chun Hsieh
2021 A* conf
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits.
AAAI
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
2020 A* conf
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits.
ICML
Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar
2020 J jnl
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits.
CoRR
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar