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From Predictive to Prescriptive Analytics

Management science, 2020-03, Vol.66 (3), p.1025-1044

2020

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Characterization of the equivalence of robustification and regularization in linear and matrix regression

European journal of operational research, 2018-11, Vol.270 (3), p.931-942

2018

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Interpretable clustering: an optimization approach

Machine learning, 2021, Vol.110 (1), p.89-138

2021

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Adaptive Distributionally Robust Optimization

Management science, 2019-02, Vol.65 (2), p.604-618

2019

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The voice of optimization

Machine learning, 2021-02, Vol.110 (2), p.249-277

2021

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OR Forum—An Algorithmic Approach to Linear Regression

Operations research, 2016-01, Vol.64 (1), p.2-16

2016

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Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem

IEEE transactions on power systems, 2013-02, Vol.28 (1), p.52-63

2013

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A Scalable Algorithm for Sparse Portfolio Selection

INFORMS journal on computing, 2022-05, Vol.34 (3), p.1489-1511

2022

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Bootstrap robust prescriptive analytics

Mathematical programming, 2022-09, Vol.195 (1-2), p.39-78

2022

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Imputation of clinical covariates in time series

Machine learning, 2021, Vol.110 (1), p.185-248

2021

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Theory and Applications of Robust Optimization

SIAM review, 2011-01, Vol.53 (3), p.464-501

2011

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Sparse Regression: Scalable Algorithms and Empirical Performance

Statistical science, 2020-11, Vol.35 (4)

2020

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On the power and limitations of affine policies in two-stage adaptive optimization

Mathematical programming, 2012-09, Vol.134 (2), p.491-531

2012

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Tractable stochastic analysis in high dimensions via robust optimization

Mathematical programming, 2012-08, Vol.134 (1), p.23-70

2012

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Sparse classification: a scalable discrete optimization perspective

Machine learning, 2021-12, Vol.110 (11-12), p.3177-3209

2021

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The Price of Fairness

Operations research, 2011-01, Vol.59 (1), p.17-31

2011

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Personalized Diabetes Management Using Electronic Medical Records

Diabetes care, 2017-02, Vol.40 (2), p.210-217

2017

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A new perspective on low-rank optimization

Mathematical programming, 2023-11, Vol.202 (1-2), p.47-92

2023

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The Price of Robustness

Operations research, 2004-01, Vol.52 (1), p.35-53

2004

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An Integer Optimization Approach to Large-Scale Air Traffic Flow Management

Operations research, 2011-01, Vol.59 (1), p.211-227

2011

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Algorithm for cardinality-constrained quadratic optimization

Computational optimization and applications, 2009-05, Vol.43 (1), p.1-22

2009

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Sparse hierarchical regression with polynomials

Machine learning, 2020-05, Vol.109 (5), p.973-997

2020

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Personalized treatment for coronary artery disease patients: a machine learning approach

Health care management science, 2020-12, Vol.23 (4), p.482-506

2020

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A Robust Optimization Approach to Inventory Theory

Operations research, 2006-01, Vol.54 (1), p.150-168

2006

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Constructing Uncertainty Sets for Robust Linear Optimization

Operations research, 2009-11, Vol.57 (6), p.1483-1495

2009

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From Predictive to Prescriptive Analytics

Characterization of the equivalence of robustification and regularization in linear and matrix regression

Interpretable clustering: an optimization approach

Adaptive Distributionally Robust Optimization

The voice of optimization

OR Forum—An Algorithmic Approach to Linear Regression

Adaptive Robust Optimization for the Security Constrained Unit Commitment Problem

A Scalable Algorithm for Sparse Portfolio Selection

Bootstrap robust prescriptive analytics

Imputation of clinical covariates in time series

Theory and Applications of Robust Optimization

Sparse Regression: Scalable Algorithms and Empirical Performance

On the power and limitations of affine policies in two-stage adaptive optimization

Tractable stochastic analysis in high dimensions via robust optimization

Sparse classification: a scalable discrete optimization perspective

The Price of Fairness

Personalized Diabetes Management Using Electronic Medical Records

A new perspective on low-rank optimization

The Price of Robustness

An Integer Optimization Approach to Large-Scale Air Traffic Flow Management

Algorithm for cardinality-constrained quadratic optimization

Sparse hierarchical regression with polynomials

Personalized treatment for coronary artery disease patients: a machine learning approach

A Robust Optimization Approach to Inventory Theory

Constructing Uncertainty Sets for Robust Linear Optimization

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