Chang, Fu-Chieh

7 publications

ICLRW 2025 CAPM: Fast and Robust Verification on Maxpool-Based CNN via Dual Network Jia-Hau Bai, Chi-Ting Liu, Yu Wang, Fu-Chieh Chang, Pei-Yuan Wu
TMLR 2025 Leveraging Unlabeled Data Sharing Through Kernel Function Approximation in Offline Reinforcement Learning Yen Ru Lai, Fu-Chieh Chang, Pei-Yuan Wu
ICLRW 2025 RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner Fu-Chieh Chang, Yu-Ting Lee, Hui-Ying Shih, Yi Hsuan Tseng, Pei-Yuan Wu
ICLRW 2025 Unraveling Arithmetic in Large Language Models: The Role of Algebraic Structures Fu-Chieh Chang, You-Chen Lin, Pei-Yuan Wu
NeurIPSW 2024 Thermal and Energy Management with Fan Control Through Offline Meta-Reinforcement Learning Shao-Yu Yen, Yen Ru Lai, Fu-Chieh Chang, Pei-Yuan Wu
AISTATS 2023 Sample Complexity of Kernel-Based Q-Learning Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili
NeurIPSW 2022 Gradient Descent: Robustness to Adversarial Corruption Fu-Chieh Chang, Farhang Nabiei, Pei-Yuan Wu, Alexandru Cioba, Sattar Vakili, Alberto Bernacchia