!-- [Attributes by Finsweet] Range Slider -->

Published
Papers

All Papers

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Balancing efficiency and fairness in liver transplant access: tradeoff curves for the assessment of organ distribution policies

with T. Papalexopoulos, N. Trichakis, Y. Wang, R. Hirose, P. A. Vagefi, Transplantation, 2020

Bus routing optimization helps Boston Public Schools design better policies

with A. Delarue, W. Eger, J. Hanlon, and S. Martin, INFORMS Journal on Applied Analytics, 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, PLOS one, 2020

Certifiably Optimal Sparse Inverse Covariance Estimation

with J. Lamperski and J. Pauphilet, Mathematical Programming, 2020

Computation of exact bootstrap confidence intervals: complexity and deterministic algorithms

with B. Sturt, Operations Research, 2020

Development and Validation of a Novel, Non-Linear Stroke Risk Assessment Tool

with C. Cadisch, E. Chesley, A. Orfanoudaki, M. Alberts, B. Stein and A. Nouh, PLOS one, 2020

Early Detection of Opioid Over-Procurement: A Machine Learning Approach

with M. Fazel-Zarandi and P. Petridis, submitted to MSOM, 2020

Fast Exact Matrix Completion: A Unifying Optimization Framework

with M. Li, Journal of Machine Learning Research, 2020

From Predictive to Prescriptive Analytics

with N. Kallus, Management Science, 2020

Imbalanced classification via robust optimization

with Y. Wang, submitted to Machine Learning, 2020

Interpretable Matrix Completion: A Discrete Optimization Approach

with M.Li, submitted to Machine Learning, 2020

Joint Frequency-Setting and Pricing Optimization on Multi-Modal Transit Networks at Scale

with Yee Sian Ng and J. Yan, Transportation Science, 2020

Machine Learning and Natural Language Processing Methods to Identify Ischemic Stroke, Acuity and Location from Radiology Reports

with C. Ong, A. Orfanoudaki, R. Zhang, F. Caprasse, M. Ma, D. Fard, O. Balogun, M. Miller, M. Minnig, H. Saglam, B. Prescott, D. Gree and S. Smirnakis, PLOS one, 2020

Machine Learning in Oncology: Methods, Applications, and Challenges

with H. Wiberg, JCO Clinical Cancer Informatics, 2020

Novel Mixed Integer Optimization Sparse Regression Approach in Chemometrics

with D. Lahlou Kitane, N. Azami and F.R. Doucet, Analytica Chimica Acta, 2020

Novel Target Discovery of Existing Therapies: Path to Personalized Cancer Therapy

with D. Zhuo, INFORMS Journal on Optimization, 2020

On Polyhedral and Second-Order Cone Decompositions of Semidefinite Optimization Problems

with R. Cory-Wright, Operations Research Letters, 2020

Optimal Predictive Clustering

with M. Sobiesk and Y. Wang, submitted to Machine Learning, 2020

Personalized treatment of coronary artery disease patients using electronic medical records: a machine learning approach

with A. Orfanoudaki and R. Weiner, Health Management Science, 2020

Prescriptive Machine Learning for Public Policy: The Case of Immigration Enforcement

with M. Fazel-Zarandi, submitted to Operations Research, 2020

Scalable Holistic Linear Regression

with M. Li, Operations Research Letters, 2020

Sparse Hierarchical Regression with Polynomials

with B. van Parys, Machine Learning, 2020

Sparse High Dimensional Regression: Exact Scalable Algorithms and Phase Transitions

with B. van Parys, Annals of Statistics, 2020

Sparse regression: Scalable algorithms and empirical performance

with J. Pauphilet and B. Van Parys, Statistical Science, 2020

Stable Regression: On the Power of Optimization over Randomization in Training Regression Problems

with I. Paskov, Journal of Machine Learning Research, 2020