Michael Lingzhi Li

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Observational Data

Causal Inference

Linear Regression Models

Top Venues

INFORMS J. Comput.

INFORMS J. Appl. Anal.

Publications

Michael Lingzhi Li, Kosuke Imai
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules. CoRR (2024)
Alexandre Jacquillat, Michael Lingzhi Li
Learning to Cover: Online Learning and Optimization with Irreversible Decisions. CoRR (2024)
Dimitris Bertsimas, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
Holistic deep learning. Mach. Learn. 113 (1) (2024)
Zeyang Jia, Kosuke Imai, Michael Lingzhi Li
The Cram Method for Efficient Simultaneous Learning and Evaluation. CoRR (2024)
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset. NeurIPS (2023)
Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, Michael Lingzhi Li
Benchmarking Large Language Models on CMExam - A Comprehensive Chinese Medical Exam Dataset. CoRR (2023)
Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas A. Trikalinos, Nikolaos Trichakis, Dimitris Bertsimas
Forecasting COVID-19 and Analyzing the Effect of Government Interventions. Oper. Res. 71 (1) (2023)
Dimitris Bertsimas, Michael Lingzhi Li
Interpretable Matrix Completion: A Discrete Optimization Approach. INFORMS J. Comput. 35 (5) (2023)
Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, Najat Khan
Data-Driven COVID-19 Vaccine Development for Janssen. INFORMS J. Appl. Anal. 53 (1) (2023)
Dimitris Bertsimas, Kosuke Imai, Michael Lingzhi Li
Distributionally Robust Causal Inference with Observational Data. CoRR (2022)
Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard D. J. Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas
Integrated multimodal artificial intelligence framework for healthcare applications. CoRR (2022)
Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas
Integrated multimodal artificial intelligence framework for healthcare applications. npj Digit. Medicine 5 (2022)
Dimitris Bertsimas, Michael Lingzhi Li
Stochastic Cutting Planes for Data-Driven Optimization. INFORMS J. Comput. 34 (5) (2022)
Dimitris Bertsimas, Léonard Boussioux, Kimberly Villalobos Carballo, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
Holistic Deep Learning. CoRR (2021)
Dimitris Bertsimas, Vassilis Digalakis Jr., Michael Lingzhi Li, Omar Skali Lami
Slowly Varying Regression under Sparsity. CoRR (2021)
Michael Lingzhi Li, Elliott Wolf, Daniel Wintz
Duration-of-Stay Storage Assignment under Uncertainty. ICLR (2020)
Dimitris Bertsimas, Michael Lingzhi Li
Scalable holistic linear regression. Oper. Res. Lett. 48 (3) (2020)
Dimitris Bertsimas, Michael Lingzhi Li
Accounting for Significance and Multicollinearity in Building Linear Regression Models. CoRR (2019)
Dimitris Bertsimas, Michael Lingzhi Li
Fast Exact Matrix Completion: A Unifying Optimization Framework. CoRR (2019)
Michael Lingzhi Li, Meng Dong, Jiawei Zhou, Alexander M. Rush
A Hierarchy of Graph Neural Networks Based on Learnable Local Features. CoRR (2019)
Michael Lingzhi Li, Elliott Wolf, Daniel Wintz
Application of Duration-of-Stay Storage Assignment with Deep Neural Networks under Uncertainty. CoRR (2019)
Dimitris Bertsimas, Michael Lingzhi Li
Interpretable Matrix Completion: A Discrete Optimization Approach. CoRR (2018)