Jiachang Liu

21 papers A* 7A 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
GPU-friendly and Linearly Convergent First-order Methods for Certifying Optimal k-sparse GLMs.
CoRR
Jiachang Liu, Andrea Lodi, Soroosh Shafiee
2025 J jnl
Fast and interpretable mortality risk scores for critical care patients.
J. Am. Medical Informatics Assoc.
Chloe Qinyu Zhu, Muhang Tian, Lesia Semenova, Jiachang Liu, Jack Xu, Joseph Scarpa, Cynthia Rudin
2025 A* conf
Scalable First-order Method for Certifying Optimal k-Sparse GLMs.
ICML
Jiachang Liu, Soroosh Shafiee, Andrea Lodi
2025 J jnl
Scalable First-order Method for Certifying Optimal k-Sparse GLMs.
CoRR
Jiachang Liu, Soroosh Shafiee, Andrea Lodi
2024 J jnl
Amazing Things Come From Having Many Good Models.
CoRR
Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner
2024 A* conf
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models.
NeurIPS
Jiachang Liu, Rui Zhang, Cynthia Rudin
2024 J jnl
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models.
CoRR
Jiachang Liu, Rui Zhang, Cynthia Rudin
2024 A* conf
Position: Amazing Things Come From Having Many Good Models.
ICML
Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner
2023 A* conf
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models.
NeurIPS
Chudi Zhong, Zhi Chen, Jiachang Liu, Margo I. Seltzer, Cynthia Rudin
2023 J jnl
Fast and Interpretable Mortality Risk Scores for Critical Care Patients.
CoRR
Chloe Qinyu Zhu, Muhang Tian, Lesia Semenova, Jiachang Liu, Jack Xu, Joseph Scarpa, Cynthia Rudin
2023 J jnl
OKRidge: Scalable Optimal k-Sparse Ridge Regression for Learning Dynamical Systems.
CoRR
Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin
2023 A* conf
OKRidge: Scalable Optimal k-Sparse Ridge Regression.
NeurIPS
Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin
2023 J jnl
Representing Graphs via Gromov-Wasserstein Factorization.
IEEE Trans. Pattern Anal. Mach. Intell.
Hongteng Xu, Jiachang Liu, Dixin Luo, Lawrence Carin
2022 A conf
Fast Sparse Classification for Generalized Linear and Additive Models.
AISTATS
Jiachang Liu, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin
2022 J jnl
Fast Sparse Classification for Generalized Linear and Additive Models.
CoRR
Jiachang Liu, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin
2022 A* conf
FasterRisk: Fast and Accurate Interpretable Risk Scores.
NeurIPS
Jiachang Liu, Chudi Zhong, Boxuan Li, Margo I. Seltzer, Cynthia Rudin
2022 J jnl
FasterRisk: Fast and Accurate Interpretable Risk Scores.
CoRR
Jiachang Liu, Chudi Zhong, Boxuan Li, Margo I. Seltzer, Cynthia Rudin
2022 — conf
What Makes Good In-Context Examples for GPT-3?
DeeLIO@ACL
Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen
2021 J jnl
What Makes Good In-Context Examples for GPT-3?
CoRR
Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen
2020 A* conf
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information.
ICML
Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin
2020 J jnl
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information.
CoRR
Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin