Jin, Hui

7 publications

ICLR 2025 CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search Xiao-Wen Yang, Zhi Zhou, Haiming Wang, Aoxue Li, Wen-Da Wei, Hui Jin, Zhenguo Li, Yu-Feng Li

NeurIPS 2025 Uni-RL: Unifying Online and Offline RL via Implicit Value Regularization Haoran Xu, Liyuan Mao, Hui Jin, Weinan Zhang, Xianyuan Zhan, Amy Zhang

ICML 2024 Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers Brian K Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi

NeurIPSW 2024 In-Context Learning Behaves as a Greedy Layer-Wise Gradient Descent Algorithm Brian K Chen, Tianyang Hu, Hui Jin, Hwee Kuan Lee, Kenji Kawaguchi

ICLR 2023 Characterizing the Spectrum of the NTK via a Power Series Expansion Michael Murray, Hui Jin, Benjamin Bowman, Guido Montufar

JMLR 2023 Implicit Bias of Gradient Descent for Mean Squared Error Regression with Two-Layer Wide Neural Networks Hui Jin, Guido Montufar

ICLR 2022 Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets Hui Jin, Pradeep Kr. Banerjee, Guido Montufar