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ORCIDJiachang Liu 0001
Person information
- affiliation: Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
Other persons with the same name
- Jiachang Liu 0002 — Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong
- Jiachang Liu 0003 — Nanjing University of Posts and Telecommunications, China
- Jiachang Liu 0004 — Beijing Institute of Technology, China
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2020 – today
- 2024
[c7]Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner:
Position: Amazing Things Come From Having Many Good Models. ICML 2024- [i8]Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner:
Amazing Things Come From Having Many Good Models. CoRR abs/2407.04846 (2024) - [i7]Jiachang Liu, Rui Zhang, Cynthia Rudin:
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models. CoRR abs/2410.19081 (2024) - 2023
- [j1]Hongteng Xu
, Jiachang Liu, Dixin Luo, Lawrence Carin:
Representing Graphs via Gromov-Wasserstein Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 999-1016 (2023) - [c6]Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin:
OKRidge: Scalable Optimal k-Sparse Ridge Regression. NeurIPS 2023 - [c5]Chudi Zhong, Zhi Chen, Jiachang Liu, Margo I. Seltzer, Cynthia Rudin:
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models. NeurIPS 2023 - [i6]Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin:
OKRidge: Scalable Optimal k-Sparse Ridge Regression for Learning Dynamical Systems. CoRR abs/2304.06686 (2023) - [i5]Chloe Qinyu Zhu, Muhang Tian, Lesia Semenova, Jiachang Liu, Jack Xu, Joseph Scarpa, Cynthia Rudin:
Fast and Interpretable Mortality Risk Scores for Critical Care Patients. CoRR abs/2311.13015 (2023) - 2022
- [c4]Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen:
What Makes Good In-Context Examples for GPT-3? DeeLIO@ACL 2022: 100-114 - [c3]Jiachang Liu, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin:
Fast Sparse Classification for Generalized Linear and Additive Models. AISTATS 2022: 9304-9333 - [c2]Jiachang Liu, Chudi Zhong, Boxuan Li, Margo I. Seltzer, Cynthia Rudin:
FasterRisk: Fast and Accurate Interpretable Risk Scores. NeurIPS 2022 - [i4]Jiachang Liu, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin:
Fast Sparse Classification for Generalized Linear and Additive Models. CoRR abs/2202.11389 (2022) - [i3]Jiachang Liu, Chudi Zhong, Boxuan Li, Margo I. Seltzer, Cynthia Rudin:
FasterRisk: Fast and Accurate Interpretable Risk Scores. CoRR abs/2210.05846 (2022) - 2021
- [i2]Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen:
What Makes Good In-Context Examples for GPT-3? CoRR abs/2101.06804 (2021) - 2020
- [c1]Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin:
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. ICML 2020: 1779-1788 - [i1]Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin:
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. CoRR abs/2006.12013 (2020)
Coauthor Index
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