Liu, Jiachang

8 publications

ICML 2025 Scalable First-Order Method for Certifying Optimal K-Sparse GLMs Jiachang Liu, Soroosh Shafiee, Andrea Lodi

NeurIPS 2024 FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models Jiachang Liu, Rui Zhang, Cynthia Rudin

ICML 2024 Position: Amazing Things Come from Having Many Good Models Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner

NeurIPS 2023 Exploring and Interacting with the Set of Good Sparse Generalized Additive Models Chudi Zhong, Zhi Chen, Jiachang Liu, Margo Seltzer, Cynthia Rudin

NeurIPS 2023 OKRidge: Scalable Optimal K-Sparse Ridge Regression Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin

AISTATS 2022 Fast Sparse Classification for Generalized Linear and Additive Models Jiachang Liu, Chudi Zhong, Margo Seltzer, Cynthia Rudin

NeurIPS 2022 FasterRisk: Fast and Accurate Interpretable Risk Scores Jiachang Liu, Chudi Zhong, Boxuan Li, Margo Seltzer, Cynthia Rudin

ICML 2020 CLUB: A Contrastive Log-Ratio Upper Bound of Mutual Information Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin