Che-Ping Tsai

22 papers A* 5A 3Misc 2Journal 12
YearRankTypeTitle / Venue / Authors
2025 A* conf
AnoLLM: Large Language Models for Tabular Anomaly Detection.
ICLR
Che-Ping Tsai, Ganyu Teng, Phillip Wallis, Wei Ding
2025 A* conf
Contextures: Representations from Contexts.
ICML
Runtian Zhai, Kai Yang, Burak Varici, Che-Ping Tsai, J. Zico Kolter, Pradeep Kumar Ravikumar
2025 J jnl
Contextures: Representations from Contexts.
CoRR
Runtian Zhai, Kai Yang, Che-Ping Tsai, Burak Varici, Zico Kolter, Pradeep Ravikumar
2025 J jnl
Eigenfunction Extraction for Ordered Representation Learning.
CoRR
Burak Varici, Che-Ping Tsai, Ritabrata Ray, Nicholas M. Boffi, Pradeep Ravikumar
2024 A conf
An Effective ECO Methodology for Reducing Back-side Design Rule Violations in Double-sided Signal Routing.
ICCAD
Che-Ping Tsai, Fang-Yu Hsu, Wai-Kei Mak, Ting-Chi Wang
2024 J jnl
CLUE: Concept-Level Uncertainty Estimation for Large Language Models.
CoRR
Yu-Hsiang Wang, Andrew Bai, Che-Ping Tsai, Cho-Jui Hsieh
2023 J jnl
Faith-Shap: The Faithful Shapley Interaction Index.
J. Mach. Learn. Res.
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar
2023 A* conf
Representer Point Selection for Explaining Regularized High-dimensional Models.
ICML
Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar
2023 J jnl
Representer Point Selection for Explaining Regularized High-dimensional Models.
CoRR
Che-Ping Tsai, Jiong Zhang, Eli Chien, Hsiang-Fu Yu, Cho-Jui Hsieh, Pradeep Ravikumar
2023 A* conf
Sample based Explanations via Generalized Representers.
NeurIPS
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar
2023 J jnl
Sample based Explanations via Generalized Representers.
CoRR
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar
2022 J jnl
Faith-Shap: The Faithful Shapley Interaction Index.
CoRR
Che-Ping Tsai, Chih-Kuan Yeh, Pradeep Ravikumar
2022 A conf
Heavy-tailed Streaming Statistical Estimation.
AISTATS
Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
2021 J jnl
Heavy-tailed Streaming Statistical Estimation.
CoRR
Che-Ping Tsai, Adarsh Prasad, Sivaraman Balakrishnan, Pradeep Ravikumar
2020 A* conf
Order-Free Learning Alleviating Exposure Bias in Multi-Label Classification.
AAAI
Che-Ping Tsai, Hung-yi Lee
2019 Misc conf
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification.
ICASSP
Che-Ping Tsai, Hung-yi Lee
2019 J jnl
Completely Unsupervised Phoneme Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models.
CoRR
Kuan-Yu Chen, Che-Ping Tsai, Da-Rong Liu, Hung-yi Lee, Lin-Shan Lee
2019 A conf
Completely Unsupervised Phoneme Recognition by a Generative Adversarial Network Harmonized with Iteratively Refined Hidden Markov Models.
INTERSPEECH
Kuan-Yu Chen, Che-Ping Tsai, Da-Rong Liu, Hung-yi Lee, Lin-Shan Lee
2019 J jnl
Order-free Learning Alleviating Exposure Bias in Multi-label Classification.
CoRR
Che-Ping Tsai, Hung-yi Lee
2018 J jnl
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification.
CoRR
Che-Ping Tsai, Hung-yi Lee
2018 J jnl
Transcribing Lyrics From Commercial Song Audio: The First Step Towards Singing Content Processing.
CoRR
Che-Ping Tsai, Yi-Lin Tuan, Lin-Shan Lee
2018 Misc conf
Transcribing Lyrics from Commercial Song Audio: the First Step Towards Singing Content Processing.
ICASSP
Che-Ping Tsai, Yi-Lin Tuan, Lin-Shan Lee