1.
Data-driven robust optimization
by Bertsimas, Dimitris
Mathematical programming, 2017, Vol.167 (2), p.235-292
2.
Robust sample average approximation
by Bertsimas, Dimitris
Mathematical programming, 2017, Vol.171 (1-2), p.217-282
3.
Optimal classification trees
by Bertsimas, Dimitris
Machine learning, 2017, Vol.106 (7), p.1039-1082
4.
Data-driven estimation in equilibrium using inverse optimization
by Bertsimas, Dimitris
Mathematical programming, 2014, Vol.153 (2), p.595-633
7.
Binary decision rules for multistage adaptive mixed-integer optimization
by Bertsimas, Dimitris
Mathematical programming, 2017, Vol.167 (2), p.395-433
8.
Tractable Approximations to Robust Conic Optimization Problems
by Bertsimas, Dimitris
Mathematical programming, 2006, Vol.107 (1-2), p.5-36
9.
Tractable stochastic analysis in high dimensions via robust optimization
by Bandi, Chaithanya
Mathematical programming, 2012, Vol.134 (1), p.23-70
11.
On the power and limitations of affine policies in two-stage adaptive optimization
by Bertsimas, Dimitris
Mathematical programming, 2011, Vol.134 (2), p.491-531
12.
Sparse hierarchical regression with polynomials
by Bertsimas, Dimitris
Machine learning, 2020, Vol.109 (5), p.973-997
13.
Certifiably optimal sparse inverse covariance estimation
by Bertsimas, Dimitris
Mathematical programming, 2019, Vol.184 (1-2), p.491-530
14.
Sparse classification: a scalable discrete optimization perspective
by Bertsimas, Dimitris
Machine learning, 2021, Vol.110 (11-12), p.3177-3209
15.
An Integer Optimization Approach to Large-Scale Air Traffic Flow Management
by BERTSIMAS, Dimitris
Operations research, 2011, Vol.59 (1), p.211-227
17.
Constructing Uncertainty Sets for Robust Linear Optimization
by Bertsimas, Dimitris
Operations research, 2009, Vol.57 (6), p.1483-1495
18.
A Robust Optimization Approach to Inventory Theory
by Bertsimas, Dimitris
Operations research, 2006, Vol.54 (1), p.150-168
19.
Robust discrete optimization and network flows
by BERTSIMAS, Dimitris
Mathematical programming, 2003, Vol.98 (1-3), p.49-71
20.
The backbone method for ultra-high dimensional sparse machine learning
by Bertsimas, Dimitris
Machine learning, 2022, Vol.111 (6), p.2161-2212
