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Certifiably Optimal Sparse Inverse Covariance Estimation
with J. Lamperski and J. Pauphilet, Mathematical Programming, 2020
2020
Computation of exact bootstrap confidence intervals: complexity and deterministic algorithms
with B. Sturt, Operations Research, 2020
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
2020
Early Detection of Opioid Over-Procurement: A Machine Learning Approach
with M. Fazel-Zarandi and P. Petridis, submitted to MSOM, 2020
2020
Fast Exact Matrix Completion: A Unifying Optimization Framework
with M. Li, Journal of Machine Learning Research, 2020
2020
From Predictive to Prescriptive Analytics
with N. Kallus, Management Science, 2020
2020
Imbalanced classification via robust optimization
with Y. Wang, submitted to Machine Learning, 2020
2020
Interpretable Matrix Completion: A Discrete Optimization Approach
with M.Li, submitted to Machine Learning, 2020
2020
Joint Frequency-Setting and Pricing Optimization on Multi-Modal Transit Networks at Scale
with Yee Sian Ng and J. Yan, Transportation Science, 2020
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
2020
Machine Learning in Oncology: Methods, Applications, and Challenges
with H. Wiberg, JCO Clinical Cancer Informatics, 2020
2020
Novel Mixed Integer Optimization Sparse Regression Approach in Chemometrics
with D. Lahlou Kitane, N. Azami and F.R. Doucet, Analytica Chimica Acta, 2020
2020
Novel Target Discovery of Existing Therapies: Path to Personalized Cancer Therapy
with D. Zhuo, INFORMS Journal on Optimization, 2020
2020
On Polyhedral and Second-Order Cone Decompositions of Semidefinite Optimization Problems
with R. Cory-Wright, Operations Research Letters, 2020
2020
Optimal Predictive Clustering
with M. Sobiesk and Y. Wang, submitted to Machine Learning, 2020
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
2020
Prescriptive Machine Learning for Public Policy: The Case of Immigration Enforcement
with M. Fazel-Zarandi, submitted to Operations Research, 2020
2020
Scalable Holistic Linear Regression
with M. Li, Operations Research Letters, 2020
2020
Sparse Hierarchical Regression with Polynomials
with B. van Parys, Machine Learning, 2020
2020
Sparse High Dimensional Regression: Exact Scalable Algorithms and Phase Transitions
with B. van Parys, Annals of Statistics, 2020
2020
Sparse regression: Scalable algorithms and empirical performance
with J. Pauphilet and B. Van Parys, Statistical Science, 2020
2020
Stable Regression: On the Power of Optimization over Randomization in Training Regression Problems
with I. Paskov, Journal of Machine Learning Research, 2020
2020
Stochastic Optimization in Supply Chain Networks: Averaging Robust Solutions
with N. Youssef, Optimization Letters, 2020
2020
Tensor Completion with Noisy Side Information
with C. Pawlowski, submitted to Machine Learning, 2020
2020
The edge of optimization in large-scale vehicle routing for paratransit
with J. Yan, submitted to Transportation Science, 2020
2020
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