Tsai, Che-Ping

7 publications

ICLR 2025 AnoLLM: Large Language Models for Tabular Anomaly Detection Che-Ping Tsai, Ganyu Teng, Phillip Wallis, Wei Ding

ICML 2025 Contextures: Representations from Contexts Runtian Zhai, Kai Yang, Burak Varıcı, Che-Ping Tsai, J Zico Kolter, Pradeep Kumar Ravikumar

JMLR 2023 Faith-Shap: The Faithful Shapley Interaction Index Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar

ICML 2023 Representer Point Selection for Explaining Regularized High-Dimensional Models Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar

NeurIPS 2023 Sample Based Explanations via Generalized Representers Che-Ping Tsai, Chih-Kuan Yeh, Pradeep K. Ravikumar

AISTATS 2022 Heavy-Tailed Streaming Statistical Estimation Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar

AAAI 2020 Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification Che-Ping Tsai, Hung-yi Lee