Tang, Cheng

7 publications

ICLR 2026 Escaping Low-Rank Traps: Interpretable Visual Concept Learning via Implicit Vector Quantization Shujian Gao, Yuan Wang, Chenglong Ma, Xin Gao, Jiangtao Yan, Junzhi Ning, Cheng Tang, Changkai Ji, Huihui Xu, Wei Li, Ziyan Huang, Jiashi Lin, Ming Hu, Jiyao Liu, Wenhao Tang, Ye Du, Tianbin Li, Jin Ye, Junjun He

ICLRW 2025 Circuit Mechanism for Compositional Induction in Transformer Cheng Tang, Brenden Lake, Mehrdad Jazayeri

ICML 2025 Robust Offline Reinforcement Learning with Linearly Structured $f$-Divergence Regularization Cheng Tang, Zhishuai Liu, Pan Xu

NeurIPS 2019 Exponentially Convergent Stochastic K-PCA Without Variance Reduction Cheng Tang

NeurIPS 2018 When Do Random Forests Fail? Cheng Tang, Damien Garreau, Ulrike von Luxburg

AISTATS 2017 Convergence Rate of Stochastic K-Means Cheng Tang, Claire Monteleoni

AISTATS 2016 On Lloyd's Algorithm: New Theoretical Insights for Clustering in Practice Cheng Tang, Claire Monteleoni