Jiachang Liu

According to our database, Jiachang Liu authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From Sequential Nodes to GPU Batches: Parallel Branch and Bound for Optimal <i>k</i>-Sparse GLMs.

Jiachang Liu, Andrea Lodi

CoRR, May, 2026

GPU-friendly and Linearly Convergent First-order Methods for Certifying Optimal k-sparse GLMs.

Jiachang Liu, Andrea Lodi, Soroosh Shafiee

CoRR, March, 2026

2025

Fast and interpretable mortality risk scores for critical care patients.

Chloe Qinyu Zhu, Muhang Tian, Lesia Semenova, Jiachang Liu, Jack Xu, Joseph Scarpa, Cynthia Rudin

J. Am. Medical Informatics Assoc., 2025

Scalable First-order Method for Certifying Optimal k-Sparse GLMs.

Jiachang Liu, Soroosh Shafiee, Andrea Lodi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Amazing Things Come From Having Many Good Models.

Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner

CoRR, 2024

FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models.

Jiachang Liu, Rui Zhang, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Position: Amazing Things Come From Having Many Good Models.

Cynthia Rudin, Chudi Zhong, Lesia Semenova, Margo I. Seltzer, Ronald Parr, Jiachang Liu, Srikar Katta, Jon Donnelly, Harry Chen, Zachery Boner

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Representing Graphs via Gromov-Wasserstein Factorization.

Hongteng Xu, Jiachang Liu, Dixin Luo, Lawrence Carin

IEEE Trans. Pattern Anal. Mach. Intell., 2023

OKRidge: Scalable Optimal k-Sparse Ridge Regression for Learning Dynamical Systems.

Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin

CoRR, 2023

Exploring and Interacting with the Set of Good Sparse Generalized Additive Models.

Chudi Zhong, Zhi Chen, Jiachang Liu, Margo I. Seltzer, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

OKRidge: Scalable Optimal k-Sparse Ridge Regression.

Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

FasterRisk: Fast and Accurate Interpretable Risk Scores.

Jiachang Liu, Chudi Zhong, Boxuan Li, Margo I. Seltzer, Cynthia Rudin

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast Sparse Classification for Generalized Linear and Additive Models.

Jiachang Liu, Chudi Zhong, Margo I. Seltzer, Cynthia Rudin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

What Makes Good In-Context Examples for GPT-3?

Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, Weizhu Chen

Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022

2020

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information.

Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin

Proceedings of the 37th International Conference on Machine Learning, 2020