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Characterization of the equivalence of robustification and regularization in linear, median, and matrix regression
with M. Copenhaver, European Journal of Operations Research, 2018
2018
Data-driven robust optimization
with V. Gupta and N. Kallus, Mathematical Programming, 2018
2018
From Predictive Methods to Missing Data Imputation: An Optimization Approach
with C. Pawlowski, Y. Zhuo, Journal of Machine Learning Research, 2018
2018
Multi-Target Tracking via Mixed Integer Optimization
with Z. Saunders, and S. Shtern, IEEE Automatic Control, 2018
2018
Optimal classification and regression trees with hyperplanes are as powerful as classification and regression neural networks
with R. Mazumder and M. Sobiesk, submitted to Journal of Machine Learning Research, 2018
2018
Optimal healthcare decision making under multiple mathematical models: Application in prostate cancer screening
with J. Silberholz and T. Trikalinos, Health Care Management Science, 2018
2018
Prescriptive Analytics for Human Resource Planning in the Professional Services Industry
with L. Berk, A. Weinstein, J .Yan, European Journal of Operations Research, 2018
2018
Robust Transient Analysis of Feedforward Networks
with C. Bandi and N. Youssef, Queueing Systems, 2018
2018
Robust sample average approximation
with V. Gupta and N. Kallus, Mathematical Programming, 2018
2018
Surgical Risk is Not Linear: Derivation and Validation of a Novel, User-Friendly, and Machine-Learning-based Predictive, OpTimal-Trees-in-Emergency-Surgery, Risk (POTTER) Calculator
with J. Dunn, G. Velmahos, H. Kaafarani, Annals of Surgery, 2018
2010-2019
Accept or Decline? An Analytics-Based Decision Tool for Kidney Offer Evaluation
with J. Kung,N. Trichakis, P. Vagefi and D. Wojciechowski, Transplantation, 2017
2017
Certifiably Optimal Low Rank Factor Analysis
with M. Copenhaver and R. Mazumder, Journal of Machine Learning Research, 2017
2017
From Predictions to Prescriptions in Multistage Optimization Problems
with C. McCord, submitted to Mathematical Programming, 2017
2017
From physical properties of transportation flows to demand predictions: An optimization approach
with C. McCord, submitted to Mathematical Programming, 2017
2017
Logistic Regression: From Art to Science
with A. King, Statistical Science, 2017
2017
Multiperiod and Online Optimization for Fleet Defense: Centralized and Distributed Approaches
with P. Jaillet and N. Korolko, submitted to Naval Research Logistics, 2017
2017
Optimal Classification Trees
with J. Dunn, Machine Learning, 2017
2017
Optimal Selection of Health Care Providers
with J. Kung, submitted to MS&OM, 2017
2017
Personalized Diabetes Management using Electronic Medical Records
with N. Kallus, A. Weinstein and Y. Zhuo, Diabetes Care, 2017
2017
The Trimmed Lasso: Sparsity and Robustness
with M. Copenhaver, R. Mazumder, submitted to IEEE Information Theory, 2017
2017
Air Traffic Flow Management Incorporating Fairness and Airline Collaboration: An Optimization Approach
with S. Gupta, Transportation Science, 2016
2016
An Algorithmic Approach to Linear Regression
with A. King, Operations Research, 2016
2016
An Analytics Approach to Designing Clinical Trials for Cancer
with A. O'Hair, J. Silberholz, S. Relyea, Management Science, 2016
2016
Best Subset Selection via a Modern Optimization Lens
with A. King and R. Mazumder, Annals of Statistics, 2016
2016
Decomposable Markov decision processes: a fluid optimization approach
with V. Mišić, Operations Research, 2016
2016
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