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Published
Papers

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Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations

with Katharine Sherratt, Hugo Gruson, et. al., 2022

Robust Convex Optimization: A New Perspective That Unifies And Extends

with D. den Hertog, J. Pauphilet, T. Zhen, Mathematical Programming, 2022

Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality

with R. Cory-Wright and J. Pauphilet, Journal of Machine Learning Research, 2022

Sparse PCA, a Geometric Approach

with D. Lahlou Kitane, Journal of Machine Learning Research, 23, 1-33, 2022

Sparse Regression over Clusters: SparClur

with J. Dunn, L. Kapelevich, R. Zhang, Optimization Letters, 2022

Stable Classification

with J. Dunn and I. Paskov, Journal of Machine Learning Research, 2022

Stochastic Cutting Planes for Data-Driven Optimization

with M. Li, INFORMS J. Computation, appeared online, 2022

THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions

with M. Li and S. Soni, submitted to MSOM, 2022

Tabtext: a systematic approach to aggregate knowledge across tabular data structures

with Kimberly Villalobos Carballo, Yu Ma, Liangyuan Na, Lonard Boussioux, Cynthia Zeng, Luis R Soenksen, Ignacio Fuentes, 2022

The Backbone Method for Ultra-High Dimensional Sparse Machine Learning

with V. Digalakis Jr., Machine Learning, 2022

The Power and Limits of Decision Making with Confounded Data: The Case of Pricing

with N. Kallus, INFORMS Journal on Optimization, appeared online, 2022

Toward Global Food Security: Transforming OCP Through Analytics

with Adrian Becker, Kassem Benabderrazik, Nada Chtinna, Nada El Majdoub, El Miloudi Mahboubi, Driss Lahlou Kitane, Steve Kokkotos, Georgia Mourtzinou, Ilyas Rakhis, INFORMS Journal on Applied Analytics, 2022

Two-Stage Sample Robust Optimization

with S. Shtern and B. Sturt, Operations Research, 2022

Using Artificial Intelligence to find the optimal margin width in hepatectomy for colorectal cancer liver metastases

with Georgios Antonios Margonis, Suleeporn Sujichantararat, Thomas Boerner, Yu Ma, Jane Wang, Carsten Kamphues5, Kazunari Sasaki, Seehanah Tang, Johan Gagniere, Aurelien Dupr, Inger Marie Les, Doris Wagner, Gorgios Stasinos, Andrea Beer, Richard Burkhart, Daisuke Morioka, Katsunori Imai, Victoria Ardiles, Juan Manuel O'Connor, Timothy M. Pawlik, George Poultsides, Hendrik Seeliger, Katharina Beyer, Klaus Kaczirek, Peter Kornprat, Federico N Aucejo6 Eduardo de Santibaes, William R. Jarnagin, Hideo Baba, Itaru Endo, Per Eystein Lnning, Martin E Kreis, Matthew J Weiss,, Christopher L. Wolfgang, Michael DAngelica, Jama Surgery, 2022

Validation of the artificial intelligence-based trauma outcomes predictor (TOP) in patients 65 years and older

with M. El Hechi, A. Gebran, H. Tazi Bouardi, L. R. Maurer, M.El Moheb, D. Zhuo, J. Dunn, G. Velmahos, H. Kaafarani, Surgery, Surgery, 171, 6, 1687-1694, 2022

Where to locate COVID-19 mass vaccination facilities?

with V. Digalakis, A. Jacquillat, M. Li and A. Previero, Naval Research Logistics Quarterly, 2022

World-Class Interpretable Poker

with A. Paskov, Machine Learning, 2022

A Robust Optimization Approach to Deep Learning

with X. Boix, K. Villalobos Carballo and D. den Hertog, submitted to Journal of Machine Learning Research, 2021

A Unified Approach to Mixed-Integer Optimization: Nonlinear Formulations and Scalable Algorithms

with R. Cory-Wright and J. Pauphilet, SIAM J. Optimization, 2021

A pre-registered short-term forecasting study of COVID-19 in Germany and Poland during the second wave

with Johannes Bracher, Daniel Wol ram, Jannik Deuschel, K Grgen, JL Ketterer, Alexander Ullrich, Sam Abbott, MV Barbarossa, Sangeeta Bhatia, Marcin Bodych, NI Bosse, Jan Pablo Burgard, L Castro, Geo rey Fairchild, Jan Fuhrmann, Sebastian Funk, Krzysztof Gogolewski, Quanquan Gu, Stefan Heyder, Thomas Hotz, Yuri Kheifetz, Holger Kirsten, Tyll Krueger, Ekaterina Krymova, ML Li, JH Meinke, Isaac James Michaud, Karol Niedzielewski, T Oaski, Franciszek Rakowski, Markus Scholz, Saksham Soni, Ajitesh Srivastava, Jakub Zieliński, Difan Zou, Tilmann Gneiting, Melanie Schienle, Nature communications, 2021

A simple and fast spectroscopy-based technique for Covid-19 diagnosis

with D. Lahlou Kitane, S. Loukman, N. Marchoudi, A. Fernandez, J. Badir, JL. Gala, N.Azami, O. Lakbita, O. Moudam, R. Benhida, J. Fekkak, Scientific Reports, 2021

Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning Approach

with D, Zhuo, Daisy, J. Dunn, J. Levine, E. Zuccarelli, N. Smyrnakis, Z. Tobota, Zdzislaw, B. Maruszewski, J. Fragata and G. Sarris, World Journal for Pediatric and Congenital Heart Surgery, 2021

Computation of Convex Hull Prices in Electricity Markets with Non-Convexities using Dantzig-Wolfe Decomposition

with P. Andrianesis, M. Caramanis, and W. Hogan, IEEE Transactions on Power Systems, 2021

Data-Driven Transit Network Design at Scale

with Yee Sian Ng and J. Yan, Operations Research, 2021

Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme

with V. Digalakis, IEEE Transactions on Knowledge and Data Engineering, appeared online, 2021