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A Machine Learning Approach to Two-Stage Adaptive Robust Optimization
with Cheol Woo Kim, submitted to European Journal of Operation Research, 2023
2023
A Stochastic Benders Decomposition Scheme for Large-Scale Data-Driven Network Design
with R. Cory-Wright, J. Pauphilet, P. Petridis, submitted to INFORMS Journal of Computing, 2023
2023
A data-driven approach to multistage stochastic linear optimization
with Shimrit Shtern, Bradley Sturt, Management Science 69(1):51-74, 2023
2023
A new perspective on low-rank optimization, 2023
with Ryan Cory-Wright, Jean Pauphilet, Mathematical Programming, 2023
2023
Accelerating Vaccine Innovation for Emerging Infectious Diseases via Parallel Discovery
with Joseph Barberio, Jacob Becraft, Zied Ben Chaouch, Tasuku Kitada, Michael L Li, Andrew W Lo, Kevin Shi, Qingyang Xu, 2023
2023
Adaptive Linear Algebra
with Thodoris Koukouvinos, 2023
2023
Compressed Sensing: A Discrete Optimization Approach
with Nicholas Johnson, 2023
2023
Data-Driven COVID-19 Vaccine Development for Janssen
with Michael Lingzhi Li, Xinggang Liu, Jennings Xu, Najat Khan, INFORMS Journal on Applied Analytics, 2023
2023
Distributionally Robust Causal Inference with Observational Data
with Kosuke Imai, Michael Lingzhi Li, submitted to Journal of Machine Learning Research, 2023
2023
Dynamic Optimization with Side Information
with C. McCord and B. Sturt, European Journal of Operations Research, 2023
2023
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach
with L. Boussioux, submitted to Journal of Machine Learning Research, 2023
2023
Explainable vs. interpretable artificial intelligence frameworks in oncology
with Georgios Antonios Margonis, Transl Cancer Res 2023;12(2):217, 2023
2023
Finding neurons in a Haystack - Case studies with sparse probing
with Wes Gurnee, Neel Nanda, Matthew Pauly, Katherine Harvey, Dmitrii Troitskii, 2023
2023
Forecasting COVID-19 and analyzing the effect of government interventions
with Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas A Trikalinos, Nikolaos Trichakis, Operations Research 71(1):184-201, 2023
2023
Global Flood Prediction: a Multimodal Machine Learning Approach
with Cynthia Zeng, arXiv preprint arXiv:2301.12548, 2023
2023
Holistic Deep Learning
with L. Boussioux, K. Villalobos Carballo, M. Li, A. Paskov and I. Paskov, submitted to Machine Learning, 2023
2023
Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems
with Omar Skali Lami, INFORMS Journal on Optimization 5(2):155-171, 2023
2023
Improving Stability in Decision Tree Models
with Vassilis Digalakis Jr, submitted to Operations Research, 2023
2023
Interpretable Matrix Completion: A Discrete Optimization Approach
with Michael Lingzhi Li, INFORMS Journal on Computing, 2023
2023
Learning sparse nonlinear dynamics via mixed-integer optimization
with Wes Gurnee, Nonlinear Dyn, 2023
2023
Multistage Stochastic Optimization via Kernels
with KV Carballo, arXiv preprint arXiv:2303.06515, 2023
2023
Optimal Low-Rank Matrix Completion - Semidefinite Relaxations and Eigenvector Disjunctions
with Ryan Cory-Wright, Sean Lo, Jean Pauphilet, 2023
2023
Patient Outcome Predictions Improve Operations at a Large Hospital Network
with Liangyuan Na, Kimberly Villalobos Carballo, Jean Pauphilet, Ali Haddad-Sisakht, Daniel Kombert, Melissa Boisjoli-Langlois, Andrew Castiglione, Maram Khalifa, Pooja Hebbal, Barry Stein, 2023
2023
Policy Analytics in Public School Operations
with Arthur Delarue, Operations Research 71(1):289-313, 2023
2023
Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
with Sherratt, K., Gruson, H., Grah, R et al, 2023
2023
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