Dimitris Bertsimas

106 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-1985-1003

Publications

Mixed-Integer Optimization with Constraint Learning — Operations Research 2025
Early Detection of Opioid Over-Procurement: A Semisupervised Machine Learning Approach — Manufacturing & Service Operations Management 2025
Decarbonizing OCP — Manufacturing & Service Operations Management 2025
An Exact Solution to Wordle — Operations Research 2025
A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design — INFORMS Journal on Computing 2025
Slowly Varying Regression Under Sparsity — Operations Research 2025
Reshaping National Organ Allocation Policy — Operations Research 2024
Hospital-Wide Inpatient Flow Optimization — Management Science 2024
Interpretable algorithmic fairness in structured and unstructured data — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
Forecasting COVID-19 and Analyzing the Effect of Government Interventions — Operations Research 2023
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
Sparse PCA: a Geometric Approach — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization — Operations Research 2023
Policy Analytics in Public School Operations — Operations Research 2023
A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization — INFORMS Journal on Computing 2023
Interpretable Matrix Completion: A Discrete Optimization Approach — INFORMS Journal on Computing 2023
A Data-Driven Approach to Multistage Stochastic Linear Optimization — Management Science 2023
Stochastic Cutting Planes for Data-Driven Optimization — INFORMS Journal on Computing 2022
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints — Operations Research 2022
Technical Note—Two-Stage Sample Robust Optimization — Operations Research 2022
A Scalable Algorithm for Sparse Portfolio Selection — INFORMS Journal on Computing 2022
Online Mixed-Integer Optimization in Milliseconds — INFORMS Journal on Computing 2022
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach — Operations Research 2022
Course Scheduling Under Sudden Scarcity: Applications to Pandemic Planning — Manufacturing & Service Operations Management 2022
Predicting Inpatient Flow at a Major Hospital Using Interpretable Analytics — Manufacturing & Service Operations Management 2022
Stable Classification — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
Data-Driven Transit Network Design at Scale — Operations Research 2021
Sparse Convex Regression — INFORMS Journal on Computing 2021
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
Stable Regression: On the Power of Optimization over Randomization — Journal of Machine Learning Research 2020 (name-matched, not ORCID-linked)
From Predictive to Prescriptive Analytics — Management Science 2020
Sparse high-dimensional regression: Exact scalable algorithms and phase transitions — The Annals of Statistics 2020
Relative Robust and Adaptive Optimization — INFORMS Journal on Computing 2020
Computation of Exact Bootstrap Confidence Intervals: Complexity and Deterministic Algorithms — Operations Research 2020
Adaptive Distributionally Robust Optimization — Management Science 2019
Travel Time Estimation in the Age of Big Data — Operations Research 2019
Covariate-Adaptive Optimization in Online Clinical Trials — Operations Research 2019
Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications — Operations Research 2019
Exact First-Choice Product Line Optimization — Operations Research 2019
Robust Maximum Likelihood Estimation — INFORMS Journal on Computing 2019
From Predictive Methods to Missing Data Imputation: An Optimization Approach — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
Certifiably Optimal Low Rank Factor Analysis — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
Robust Product Line Design — Operations Research 2017
Multistage Robust Mixed-Integer Optimization with Adaptive Partitions — Operations Research 2016
Decomposable Markov Decision Processes: A Fluid Optimization Approach — Operations Research 2016
OR Forum—An Algorithmic Approach to Linear Regression — Operations Research 2016
Inventory Management in the Era of Big Data — Production and Operations Management 2016
Best subset selection via a modern optimization lens — The Annals of Statistics 2016
Duality in Two-Stage Adaptive Linear Optimization: Faster Computation and Stronger Bounds — INFORMS Journal on Computing 2016
An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer — Management Science 2016
OR Forum—Tenure Analytics: Models for Predicting Research Impact — Operations Research 2015
The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples — Operations Research 2015
Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization — Operations Research 2015
Robust Queueing Theory — Operations Research 2015
Introduction to the Special Issue on Business Analytics — Management Science 2014
Least quantile regression via modern optimization — The Annals of Statistics 2014
Learning Preferences Under Noise and Loss Aversion: An Optimization Approach — Operations Research 2013
Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation — Operations Research 2013
Robust and Adaptive Network Flows — Operations Research 2013
A New Local Search Algorithm for Binary Optimization — INFORMS Journal on Computing 2013
On the Efficiency-Fairness Trade-off — Management Science 2012
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012 (name-matched, not ORCID-linked)
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012 (name-matched, not ORCID-linked)
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012 (name-matched, not ORCID-linked)
Inverse Optimization: A New Perspective on the Black-Litterman Model — Operations Research 2012
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012 (name-matched, not ORCID-linked)
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012
Call for Papers—Special Issue ofManagement Science: Business Analytics — Management Science 2012 (name-matched, not ORCID-linked)
An Integer Optimization Approach to Large-Scale Air Traffic Flow Management — Operations Research 2011
Performance Analysis of Queueing Networks via Robust Optimization — Operations Research 2011
Optimal Selection of Airport Runway Configurations — Operations Research 2011
The Price of Fairness — Operations Research 2011
Nonconvex Robust Optimization for Problems with Constraints — INFORMS Journal on Computing 2010
Robust Optimization for Unconstrained Simulation-Based Problems — Operations Research 2010
Constructing Uncertainty Sets for Robust Linear Optimization — Operations Research 2009
Algorithmic Prediction of Health-Care Costs — Operations Research 2008
A Learning Approach for Interactive Marketing to a Customer Segment — Operations Research 2007
A Robust Optimization Approach to Inventory Theory — Operations Research 2006
Simulation-Based Booking Limits for Airline Revenue Management — Operations Research 2005
The Price of Robustness — Operations Research 2004
Restaurant Revenue Management — Operations Research 2003
From Fluid Relaxations to Practical Algorithms for High-Multiplicity Job-Shop Scheduling: The Holding Cost Objective — Operations Research 2003
An Approximate Dynamic Programming Approach to Multidimensional Knapsack Problems — Management Science 2002
On the Relation Between Option and Stock Prices: A Convex Optimization Approach — Operations Research 2002
Multistage Lot Sizing Problems via Randomized Rounding — Operations Research 2001
Hedging Derivative Securities and Incomplete Markets: An ε-Arbitrage Approach — Operations Research 2001
Probabilistic Service Level Guarantees in Make-to-Stock Manufacturing Systems — Operations Research 2001
Restless Bandits, Linear Programming Relaxations, and a Primal-Dual Index Heuristic — Operations Research 2000
When is time continuous? — Journal of Financial Economics 2000
A New Algebraic Geometry Algorithm for Integer Programming — Management Science 2000
Bounds and Policies for Dynamic Routing in Loss Networks — Operations Research 1999
The Air Traffic Flow Management Problem with Enroute Capacities — Operations Research 1998
From Valid Inequalities to Heuristics: A Unified View of Primal-Dual Approximation Algorithms in Covering Problems — Operations Research 1998
A New Generation of Vehicle Routing Research: Robust Algorithms, Addressing Uncertainty — Operations Research 1996
The Distributional Little's Law and Its Applications — Operations Research 1995
Models and Algorithms for Transient Queueing Congestion at Airports — Management Science 1995
Decomposition Algorithms for Analyzing Transient Phenomena in Multiclass Queueing Networks in Air Transportation — Operations Research 1995
Locating Discretionary Service Facilities, II: Maximizing Market Size, Minimizing Inconvenience — Operations Research 1995
The Multi-Airport Ground-Holding Problem in Air Traffic Control — Operations Research 1994

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