Published Papers

2020's:  2020  2021 

2010's   2000's   1990's  

2021


Prediction with Missing Data
with A. Delarue and J. Pauphilet; submitted to Operations Research, 2021


Imputation of Clinical Covariates in Time Series
with A.Orfanoudaki and C. Pawlowski; submitted to Journal of Machine Learning Research, 2021


Interpretable Clustering: An Optimization Approach
with A. Orfanoudaki and H. Wiberg, A. Orfanoudaki and H. Wiberg; submitted to Machine Learning, 2021


Slowly Varying Regression under Sparsity
with V. Digalakis, M. Li and O. Skali Lami, V. Digalakis, M. Li and O. Skali Lami; submitted to Journal of Machine Learning Research, 2021


Where to locate COVID-19 mass vaccination facilities?
with V. Digalakis, A. Jacquillat, M. Li, A. Previero; to appear in Naval Research Logistics Quarterly, 2021


World-Class Interpretable Poker
with A. Paskov; submitted to Machine Learning, 2021


Stochastic Cutting Planes for Data-Driven Optimization
with M. Lingzhi Li; Submitted to Mathematical Programming, 2021

2020


Personalized treatment of coronary artery disease patients using electronic medical records: a machine learning approach
with A. Orfanoudakis and R. Weiner; submitted to Health Management Science, 2020


FTIR spectroscopy combined with multivariate data analysis for diagnosis of Covid-19
with D. Lahlou Kitane, S. Loukman, N. Marchoudi, A. Fernandez, J. Badir, JL. Gala, N.Azami, O. Lakbita, O. Moudam, R. Benhida, J. Fekkak; submitted to Nature Biotechnology, 2020


From predictions to prescriptions: A data-driven response to COVID-19
with L. Boussioux, R. Cory-Wright, A. Delarue, V. Digalakis, A. Jacquillat, D. Lahlou Kitane, G. Lukin, M. Li, L. Mingardi, O. Nohadani, A. Orfanoudaki, T. Papalexopoulos, I. Paskov, J, Pauphilet, O. Skali Lami, B. Stellato, H. Tazi Bouardi, K. Villalobos Carballo, H. Wiberg and C. Zeng; submitted to PNAS, 2020


COVID-19 Mortality Risk Assessment: An International Multi-Center Study
with G. Lukin, L. Mingardi, O. Nohadani, A. Orfanoudaki, B. Stellato, H. Wiberg, J.M. Cisneros- Herreros, S. Gonzalez Garcia, C. Caldern, The Hellenic COVID-19 Study Group, K. Robinson, M. Schneider, B. Stein, L. Beccara, R. Canino, M. Dal Bello, F. Pezzetti and A. Pan; submitted to PLOS One, 2020


Prescriptive Machine Learning for Public Policy: The Case of Immigration Enforcement
with M. Fazel-Zarandi; submitted to Operations Research, 2020


Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints
with R. Cory-Wright and J. Pauphilet; submitted to Operations Research, 2020


Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems
with O. Skali Lami; submitted to INFORMS Journal on Optimization, 2020


Early Detection of Opioid Over-Procurement: A Machine Learning Approach
with M. Fazel-Zarandi and J. Ivanhoe; submitted to MOSM, 2020


Robust Convex Optimization: A New Perspective That Unifies And Extends
with D. den Hertog, J. Pauphilet, T. Zhen; submitted to Mathematics of Operations Research, 2020


Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme
with V. Digalakis; submitted to IEEE Transactions on Knowledge and Data Engineering, 2020