Dimitris Bertsimas

336 papers A* 6A 1B 8C 1Journal 310Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Holistic AI in medicine; improved performance and explainability.
npj Digit. Medicine
Periklis Petridis, Georgios Margaritis, Vasiliki Stoumpou, Dimitris Bertsimas
2026 J jnl
Multimodal Prescriptive Deep Learning.
Trans. Mach. Learn. Res.
Dimitris Bertsimas, Lisa Everest, Vasiliki Stoumpou
2026 J jnl
Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach.
Mach. Learn.
Dimitris Bertsimas, Cheol Woo Kim, José Niño-Mora
2026 J jnl
Prescribe-then-Select: Adaptive Policy Selection for Contextual Stochastic Optimization.
Trans. Mach. Learn. Res.
Caio de Prospero Iglesias, Kimberly Villalobos Carballo, Dimitris Bertsimas
2025 J jnl
A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design.
INFORMS J. Comput.
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet, Periklis Petridis
2025 J jnl
Adaptive Forests For Classification.
CoRR
Dimitris Bertsimas, Yubing Cui
2025 J jnl
Adaptive optimization for prediction with missing data.
Mach. Learn.
Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
2025 J jnl
An Exact Solution to Wordle.
Oper. Res.
Dimitris Bertsimas, Alex Paskov
2025 J jnl
An Interpretable AI Tool for SAVR vs TAVR in Low to Intermediate Risk Patients with Severe Aortic Stenosis.
CoRR
Vasiliki Stoumpou, Maciej Tysarowski, Talhat Azemi, Jawad Haider, Howard L. Haronian, Robert C. Hagberg, Dimitris Bertsimas
2025 J jnl
Decarbonizing OCP.
Manuf. Serv. Oper. Manag.
Dimitris Bertsimas, Ryan Cory-Wright, Vassilis Digalakis
2025 J jnl
Detection and Localization of Subdural Hematoma Using Deep Learning on Computed Tomography.
CoRR
Vasiliki Stoumpou, Rohan Kumar, Bernard Burman, Diego Ojeda, Tapan Mehta, Dimitris Bertsimas
2025 J jnl
Early Detection of Opioid Over-Procurement: A Semisupervised Machine Learning Approach.
Manuf. Serv. Oper. Manag.
Dimitris Bertsimas, Mohammad M. Fazel-Zarandi, Joshua Ivanhoe, Periklis Petridis
2025 J jnl
Early Warning Index for Patient Deteriorations in Hospitals.
CoRR
Dimitris Bertsimas, Yu Ma, Kimberly Villalobos Carballo, Gagan Singh, Michal Laskowski, Jeff Mather, Daniel Kombert, Howard Haronian
2025 J jnl
From Data to Uncertainty Sets: a Machine Learning Approach.
CoRR
Dimitris Bertsimas, Benjamin Boucher
2025 J jnl
Global optimization: a machine learning approach.
J. Glob. Optim.
Dimitris Bertsimas, Georgios Margaritis
2025 J jnl
Holistic Artificial Intelligence in Medicine; improved performance and explainability.
CoRR
Periklis Petridis, Georgios Margaritis, Vasiliki Stoumpou, Dimitris Bertsimas
2025 J jnl
Mixed-Integer Optimization with Constraint Learning.
Oper. Res.
Donato Maragno, Holly M. Wiberg, Dimitris Bertsimas, S. Ilker Birbil, Dick den Hertog, Adejuyigbe O. Fajemisin
2025 J jnl
Multimodal Prescriptive Deep Learning.
CoRR
Dimitris Bertsimas, Lisa Everest, Vasiliki Stoumpou
2025 J jnl
Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach.
CoRR
Dimitris Bertsimas, Cheol Woo Kim, José Niño-Mora
2025 J jnl
Overfitting in Adaptive Robust Optimization.
CoRR
Karl Zhu, Dimitris Bertsimas
2025 J jnl
Prescribe-then-Select: Adaptive Policy Selection for Contextual Stochastic Optimization.
CoRR
Caio de Prospero Iglesias, Kimberly Villalobos Carballo, Dimitris Bertsimas
2025 J jnl
Slowly Varying Regression Under Sparsity.
Oper. Res.
Dimitris Bertsimas, Vassilis Digalakis, Michael Lingzhi Li, Omar Skali Lami
2025 J jnl
Sparse Multiple Kernel Learning: Alternating Best Response and Semidefinite Relaxations.
CoRR
Dimitris Bertsimas, Caio de Prospero Iglesias, Nicholas A. G. Johnson
2025 J jnl
Sparse Multiple Kernel Learning: Alternating Best Response and Semidefinite Relaxations.
Trans. Mach. Learn. Res.
Dimitris Bertsimas, Caio de Prospero Iglesias, Nicholas A. G. Johnson
2025 J jnl
The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization.
INFORMS J. Optim.
Dimitris Bertsimas, Liangyuan Na, Bartolomeo Stellato, Irina Wang
2025 J jnl
Towards Optimal Valve Prescription for Transcatheter Aortic Valve Replacement (TAVR) Surgery: A Machine Learning Approach.
CoRR
Phevos Paschalidis, Vasiliki Stoumpou, Lisa Everest, Yu Ma, Talhat Azemi, Jawad Haider, Steven Zweibel, Eleftherios M. Protopapas, Jeff Mather, Maciej Tysarowski, George E. Sarris, Robert C. Hagberg, Howard L. Haronian, Dimitris Bertsimas
2024 J jnl
A machine learning approach to two-stage adaptive robust optimization.
Eur. J. Oper. Res.
Dimitris Bertsimas, Cheol Woo Kim
2024 J jnl
Adaptive Optimization for Prediction with Missing Data.
CoRR
Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
2024 J jnl
Binary Classification: Is Boosting stronger than Bagging?
CoRR
Dimitris Bertsimas, Vasiliki Stoumpou
2024 J jnl
Catastrophe Insurance: An Adaptive Robust Optimization Approach.
CoRR
Dimitris Bertsimas, Cynthia Zeng
2024 J jnl
Compressed sensing: a discrete optimization approach.
Mach. Learn.
Dimitris Bertsimas, Nicholas A. G. Johnson
2024 J jnl
Deep Trees for (Un)structured Data: Tractability, Performance, and Interpretability.
CoRR
Dimitris Bertsimas, Lisa Everest, Jiayi Gu, Matthew Peroni, Vasiliki Stoumpou
2024 J jnl
Holistic deep learning.
Mach. Learn.
Dimitris Bertsimas, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
2024 J jnl
Hospital-Wide Inpatient Flow Optimization.
Manag. Sci.
Dimitris Bertsimas, Jean Pauphilet
2024 J jnl
Interpretable algorithmic fairness in structured and unstructured data.
J. Mach. Learn. Res.
Hari Bandi, Dimitris Bertsimas, Thodoris Koukouvinos, Sofie Kupiec
2024 J jnl
M3H: Multimodal Multitask Machine Learning for Healthcare.
CoRR
Dimitris Bertsimas, Yu Ma
2024 J jnl
Optimization Automates Emergency Department Nurse Scheduling at Hartford Hospital.
INFORMS J. Appl. Anal.
Liangyuan Na, Jean Pauphilet, Ali Haddad-Sisakht, Louis Raison, Audrey Silver, Patricia Veronneau, Nicole Vogt, Dimitris Bertsimas
2024 J jnl
Pareto Adaptive Robust Optimality via a Fourier-Motzkin Elimination lens.
Math. Program.
Dimitris Bertsimas, Stefan C. M. ten Eikelder, Dick den Hertog, Nikolaos Trichakis
2024 J jnl
Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning.
CoRR
Dimitris Bertsimas, Matthew Peroni
2024 J jnl
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM.
CoRR
Dimitris Bertsimas, Nicholas A. G. Johnson
2024 J jnl
Reshaping National Organ Allocation Policy.
Oper. Res.
Theodore Papalexopoulos, James B. Alcorn, Dimitris Bertsimas, Rebecca E. Goff, Darren E. Stewart, Nikolaos Trichakis
2024 J jnl
Robust linear algebra.
Eur. J. Oper. Res.
Dimitris Bertsimas, Thodoris Koukouvinos
2024 J jnl
Simple Imputation Rules for Prediction with Missing Data: Theoretical Guarantees vs. Empirical Performance.
Trans. Mach. Learn. Res.
Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
2024 J jnl
The R.O.A.D. to precision medicine.
npj Digit. Medicine
Dimitris Bertsimas, Angelos G. Koulouras, Georgios Antonios Margonis
2024 J jnl
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences.
CoRR
Vassilis Digalakis Jr., Yu Ma, Phevos Paschalidis, Dimitris Bertsimas
2024 J jnl
Universal Neurons in GPT2 Language Models.
CoRR
Wes Gurnee, Theo Horsley, Zifan Carl Guo, Tara Rezaei Kheirkhah, Qinyi Sun, Will Hathaway, Neel Nanda, Dimitris Bertsimas
2024 J jnl
Universal Neurons in GPT2 Language Models.
Trans. Mach. Learn. Res.
Wes Gurnee, Theo Horsley, Zifan Carl Guo, Tara Rezaei Kheirkhah, Qinyi Sun, Will Hathaway, Neel Nanda, Dimitris Bertsimas
2023 J jnl
A Data-Driven Approach to Multistage Stochastic Linear Optimization.
Manag. Sci.
Dimitris Bertsimas, Shimrit Shtern, Bradley Sturt
2023 J jnl
A Machine Learning Approach to Two-Stage Adaptive Robust Optimization.
CoRR
Dimitris Bertsimas, Cheol Woo Kim
2023 J jnl
A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization.
INFORMS J. Comput.
Dimitris Bertsimas, Cheol Woo Kim
2023 J jnl
A new perspective on low-rank optimization.
Math. Program.
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2023 J jnl
Applying Analytics to Design Lung Transplant Allocation Policy.
INFORMS J. Appl. Anal.
Theodore Papalexopoulos, James B. Alcorn, Dimitris Bertsimas, Rebecca E. Goff, Darren E. Stewart, Nikolaos Trichakis
2023 J jnl
Compressed Sensing: A Discrete Optimization Approach.
CoRR
Dimitris Bertsimas, Nicholas A. G. Johnson
2023 J jnl
Data-Driven COVID-19 Vaccine Development for Janssen.
INFORMS J. Appl. Anal.
Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, Najat Khan
2023 J jnl
Dynamic optimization with side information.
Eur. J. Oper. Res.
Dimitris Bertsimas, Christopher McCord, Bradley Sturt
2023 J jnl
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach.
CoRR
Dimitris Bertsimas, Léonard Boussioux
2023 J jnl
Finding Neurons in a Haystack: Case Studies with Sparse Probing.
CoRR
Wes Gurnee, Neel Nanda, Matthew Pauly, Katherine Harvey, Dmitrii Troitskii, Dimitris Bertsimas
2023 J jnl
Finding Neurons in a Haystack: Case Studies with Sparse Probing.
Trans. Mach. Learn. Res.
Wes Gurnee, Neel Nanda, Matthew Pauly, Katherine Harvey, Dmitrii Troitskii, Dimitris Bertsimas
2023 J jnl
Forecasting COVID-19 and Analyzing the Effect of Government Interventions.
Oper. Res.
Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas A. Trikalinos, Nikolaos Trichakis, Dimitris Bertsimas
2023 J jnl
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme.
IEEE Trans. Knowl. Data Eng.
Dimitris Bertsimas, Vassilis Digalakis
2023 J jnl
Global Flood Prediction: a Multimodal Machine Learning Approach.
CoRR
Cynthia Zeng, Dimitris Bertsimas
2023 J jnl
Global Optimization: A Machine Learning Approach.
CoRR
Dimitris Bertsimas, Georgios Margaritis
2023 J jnl
Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems.
INFORMS J. Optim.
Dimitris Bertsimas, Omar Skali Lami
2023 J jnl
Improving Stability in Decision Tree Models.
CoRR
Dimitris Bertsimas, Vassilis Digalakis Jr.
2023 J jnl
Interpretable Matrix Completion: A Discrete Optimization Approach.
INFORMS J. Comput.
Dimitris Bertsimas, Michael Lingzhi Li
2023 J jnl
Multistage Stochastic Optimization via Kernels.
CoRR
Dimitris Bertsimas, Kimberly Villalobos Carballo
2023 J jnl
Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach.
CoRR
Dimitris Bertsimas, Cheol Woo Kim
2023 J jnl
Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions.
CoRR
Dimitris Bertsimas, Ryan Cory-Wright, Sean Lo, Jean Pauphilet
2023 J jnl
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization.
Oper. Res.
Dimitris Bertsimas, Nishanth Mundru
2023 J jnl
Patient Outcome Predictions Improve Operations at a Large Hospital Network.
CoRR
Liangyuan Na, Kimberly Villalobos Carballo, Jean Pauphilet, Ali Haddad-Sisakht, Daniel Kombert, Melissa Boisjoli-Langlois, Andrew Castiglione, Maram Khalifa, Pooja Hebbal, Barry Stein, Dimitris Bertsimas
2023 J jnl
Policy Analytics in Public School Operations.
Oper. Res.
Dimitris Bertsimas, Arthur Delarue
2023 J jnl
Publisher Correction to: A new perspective on low-rank optimization.
Math. Program.
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2023 J jnl
Reducing Air Pollution through Machine Learning.
CoRR
Dimitris Bertsimas, Léonard Boussioux, Cynthia Zeng
2023 J jnl
Robust Regression over Averaged Uncertainty.
CoRR
Dimitris Bertsimas, Yu Ma
2023 J jnl
Robust convex optimization: A new perspective that unifies and extends.
Math. Program.
Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet, Jianzhe Zhen
2023 J jnl
Sparse PCA: a Geometric Approach.
J. Mach. Learn. Res.
Dimitris Bertsimas, Driss Lahlou Kitane
2023 J jnl
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach.
J. Mach. Learn. Res.
Dimitris Bertsimas, Ryan Cory-Wright, Nicholas A. G. Johnson
2023 J jnl
Tensor completion with noisy side information.
Mach. Learn.
Dimitris Bertsimas, Colin Pawlowski
2023 J jnl
The Power and Limits of Predictive Approaches to Observational Data-Driven Optimization: The Case of Pricing.
INFORMS J. Optim.
Dimitris Bertsimas, Nathan Kallus
2023 J jnl
The R.O.A.D. to precision medicine.
CoRR
Dimitris Bertsimas, Angelos G. Koulouras, Georgios Antonios Margonis
2022 J jnl
A Scalable Algorithm for Sparse Portfolio Selection.
INFORMS J. Comput.
Dimitris Bertsimas, Ryan Cory-Wright
2022 J jnl
Bootstrap robust prescriptive analytics.
Math. Program.
Dimitris Bertsimas, Bart P. G. Van Parys
2022 J jnl
Course Scheduling Under Sudden Scarcity: Applications to Pandemic Planning.
Manuf. Serv. Oper. Manag.
Cynthia Barnhart, Dimitris Bertsimas, Arthur Delarue, Julia Yan
2022 J jnl
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach.
Oper. Res.
Dimitris Bertsimas, Nihal Koduri
2022 — conf
Data-driven Interpretable Policy Construction for Personalized Mobile Health.
ICDH
Dimitris Bertsimas, Predrag V. Klasnja, Susan A. Murphy, Liangyuan Na
2022 J jnl
Distributionally Robust Causal Inference with Observational Data.
CoRR
Dimitris Bertsimas, Kosuke Imai, Michael Lingzhi Li
2022 A* conf
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme (Extended Abstract).
ICDE
Dimitris Bertsimas, Vassilis Digalakis
2022 J jnl
Integrated multimodal artificial intelligence framework for healthcare applications.
CoRR
Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard D. J. Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas
2022 J jnl
Integrated multimodal artificial intelligence framework for healthcare applications.
npj Digit. Medicine
Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas
2022 J jnl
Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization.
CoRR
Dimitris Bertsimas, Wes Gurnee
2022 J jnl
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints.
Oper. Res.
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2022 J jnl
Online Mixed-Integer Optimization in Milliseconds.
INFORMS J. Comput.
Dimitris Bertsimas, Bartolomeo Stellato
2022 J jnl
Optimal survival trees.
Mach. Learn.
Dimitris Bertsimas, Jack Dunn, Emma Gibson, Agni Orfanoudaki
2022 J jnl
Predicting Inpatient Flow at a Major Hospital Using Interpretable Analytics.
Manuf. Serv. Oper. Manag.
Dimitris Bertsimas, Jean Pauphilet, Jennifer P. Stevens, Manu Tandon
2022 J jnl
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality.
J. Mach. Learn. Res.
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2022 J jnl
Sparse regression over clusters: SparClur.
Optim. Lett.
Dimitris Bertsimas, Jack Dunn, Lea Kapelevich, Rebecca Zhang
2022 J jnl
Stable Classification.
J. Mach. Learn. Res.
Dimitris Bertsimas, Jack Dunn, Ivan S. Paskov
2022 J jnl
Stochastic Cutting Planes for Data-Driven Optimization.
INFORMS J. Comput.
Dimitris Bertsimas, Michael Lingzhi Li
2022 J jnl
TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures.
CoRR
Dimitris Bertsimas, Kimberly Villalobos Carballo, Yu Ma, Liangyuan Na, Léonard Boussioux, Cynthia Zeng, Luis R. Soenksen, Ignacio Fuentes
2022 J jnl
Technical Note - Two-Stage Sample Robust Optimization.
Oper. Res.
Dimitris Bertsimas, Shimrit Shtern, Bradley Sturt
2022 J jnl
The backbone method for ultra-high dimensional sparse machine learning.
Mach. Learn.
Dimitris Bertsimas, Vassilis Digalakis
2022 J jnl
Toward Global Food Security: Transforming OCP Through Analytics.
INFORMS J. Appl. Anal.
Adrian Becker, Kassem Benabderrazik, Dimitris Bertsimas, Nada Chtinna, Nada El Majdoub, El Miloudi Mahboubi, Driss Lahlou Kitane, Steve Kokkotos, Georgia Mourtzinou, Ilyas Rakhis
2022 J jnl
World-class interpretable poker.
Mach. Learn.
Dimitris Bertsimas, Alex Paskov
2021 J jnl
A Robust Optimization Approach to Deep Learning.
CoRR
Dimitris Bertsimas, Xavier Boix, Kimberly Villalobos Carballo, Dick den Hertog
2021 J jnl
A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints.
SIAM J. Optim.
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2021 J jnl
A new perspective on low-rank optimization.
CoRR
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2021 J jnl
Data-Driven Transit Network Design at Scale.
Oper. Res.
Dimitris Bertsimas, Yee Sian Ng, Julia Yan
2021 J jnl
Holistic Deep Learning.
CoRR
Dimitris Bertsimas, Léonard Boussioux, Kimberly Villalobos Carballo, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
2021 J jnl
Imputation of clinical covariates in time series.
Mach. Learn.
Dimitris Bertsimas, Agni Orfanoudaki, Colin Pawlowski
2021 J jnl
Interpretable clustering: an optimization approach.
Mach. Learn.
Dimitris Bertsimas, Agni Orfanoudaki, Holly M. Wiberg
2021 J jnl
Machine Learning for Real-Time Heart Disease Prediction.
IEEE J. Biomed. Health Informatics
Dimitris Bertsimas, Luca Mingardi, Bartolomeo Stellato
2021 J jnl
Mixed-Integer Optimization with Constraint Learning.
CoRR
Donato Maragno, Holly M. Wiberg, Dimitris Bertsimas, S. Ilker Birbil, Dick den Hertog, Adejuyigbe O. Fajemisin
2021 J jnl
Near-optimal Nonlinear Regression Trees.
Oper. Res. Lett.
Dimitris Bertsimas, Jack Dunn, Yuchen Wang
2021 J jnl
Prediction with Missing Data.
CoRR
Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
2021 J jnl
Pricing Algorithmic Insurance.
CoRR
Dimitris Bertsimas, Agni Orfanoudaki
2021 J jnl
Probabilistic Guarantees in Robust Optimization.
SIAM J. Optim.
Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet
2021 J jnl
Slowly Varying Regression under Sparsity.
CoRR
Dimitris Bertsimas, Vassilis Digalakis Jr., Michael Lingzhi Li, Omar Skali Lami
2021 J jnl
Sparse Convex Regression.
INFORMS J. Comput.
Dimitris Bertsimas, Nishanth Mundru
2021 J jnl
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach.
CoRR
Dimitris Bertsimas, Ryan Cory-Wright, Nicholas A. G. Johnson
2021 J jnl
Sparse classification: a scalable discrete optimization perspective.
Mach. Learn.
Dimitris Bertsimas, Jean Pauphilet, Bart P. G. Van Parys
2021 J jnl
The Price of Diversity.
CoRR
Hari Bandi, Dimitris Bertsimas
2021 J jnl
The voice of optimization.
Mach. Learn.
Dimitris Bertsimas, Bartolomeo Stellato
2020 J jnl
Bus Routing Optimization Helps Boston Public Schools Design Better Policies.
INFORMS J. Appl. Anal.
Dimitris Bertsimas, Arthur Delarue, William Eger, John Hanlon, Sébastien Martin
2020 J jnl
Certifiably optimal sparse inverse covariance estimation.
Math. Program.
Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet
2020 J jnl
Computation of Exact Bootstrap Confidence Intervals: Complexity and Deterministic Algorithms.
Oper. Res.
Dimitris Bertsimas, Bradley Sturt
2020 J jnl
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme.
CoRR
Dimitris Bertsimas, Vassilis Digalakis Jr.
2020 J jnl
From Predictive to Prescriptive Analytics.
Manag. Sci.
Dimitris Bertsimas, Nathan Kallus
2020 J jnl
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework.
CoRR
Léonard Boussioux, Cynthia Zeng, Théo Guénais, Dimitris Bertsimas
2020 J jnl
Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale.
Transp. Sci.
Dimitris Bertsimas, Yeesian Ng, Julia Yan
2020 — conf
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.
CDC
Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone
2020 J jnl
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control.
CoRR
Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone
2020 J jnl
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints.
CoRR
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2020 J jnl
Novel Target Discovery of Existing Therapies: Path to Personalized Cancer Therapy.
INFORMS J. Optim.
Dimitris Bertsimas, Ying Daisy Zhuo
2020 J jnl
On polyhedral and second-order cone decompositions of semidefinite optimization problems.
Oper. Res. Lett.
Dimitris Bertsimas, Ryan Cory-Wright
2020 J jnl
Optimal Survival Trees.
CoRR
Dimitris Bertsimas, Jack Dunn, Emma Gibson, Agni Orfanoudaki
2020 — conf
Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions.
MLHC
Hari Bandi, Dimitris Bertsimas
2020 J jnl
Relative Robust and Adaptive Optimization.
INFORMS J. Comput.
Dimitris Bertsimas, Iain Dunning
2020 J jnl
Scalable holistic linear regression.
Oper. Res. Lett.
Dimitris Bertsimas, Michael Lingzhi Li
2020 J jnl
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality.
CoRR
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2020 J jnl
Sparse hierarchical regression with polynomials.
Mach. Learn.
Dimitris Bertsimas, Bart P. G. Van Parys
2020 J jnl
Stochastic optimization in supply chain networks: averaging robust solutions.
Optim. Lett.
Dimitris Bertsimas, Nataly Youssef
2020 J jnl
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning.
CoRR
Dimitris Bertsimas, Vassilis Digalakis Jr.
2019 J jnl
A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms.
CoRR
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
2019 J jnl
Accounting for Significance and Multicollinearity in Building Linear Regression Models.
CoRR
Dimitris Bertsimas, Michael Lingzhi Li
2019 J jnl
Adaptive Distributionally Robust Optimization.
Manag. Sci.
Dimitris Bertsimas, Melvyn Sim, Meilin Zhang
2019 J jnl
Certifiably Optimal Sparse Inverse Covariance Estimation.
CoRR
Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet
2019 J jnl
Certifiably optimal sparse principal component analysis.
Math. Program. Comput.
Lauren Berk, Dimitris Bertsimas
2019 J jnl
Covariate-Adaptive Optimization in Online Clinical Trials.
Oper. Res.
Dimitris Bertsimas, Nikita Korolko, Alexander M. Weinstein
2019 J jnl
Dynamic optimization with side information.
CoRR
Dimitris Bertsimas, Christopher McCord, Bradley Sturt
2019 J jnl
Exact First-Choice Product Line Optimization.
Oper. Res.
Dimitris Bertsimas, Velibor V. Misic
2019 J jnl
Fast Exact Matrix Completion: A Unifying Optimization Framework.
CoRR
Dimitris Bertsimas, Michael Lingzhi Li
2019 J jnl
From Predictions to Prescriptions in Multistage Optimization Problems.
CoRR
Dimitris Bertsimas, Christopher McCord
2019 J jnl
From the Editor.
INFORMS J. Optim.
Dimitris Bertsimas
2019 J jnl
Identifying Exceptional Responders in Randomized Trials: An Optimization Approach.
INFORMS J. Optim.
Dimitris Bertsimas, Nikita Korolko, Alexander M. Weinstein
2019 J jnl
Introduction to the Issue.
INFORMS J. Optim.
Dimitris Bertsimas
2019 J jnl
Learning a Mixture of Gaussians via Mixed-Integer Optimization.
INFORMS J. Optim.
Hari Bandi, Dimitris Bertsimas, Rahul Mazumder
2019 J jnl
Machine Learning and Optimization: Introduction to the Special Issue.
INFORMS J. Optim.
Dimitris Bertsimas
2019 J jnl
Machine Learning and Optimization: Introduction to the Special Issue.
INFORMS J. Optim.
Dimitris Bertsimas
2019 J jnl
On Polyhedral and Second-Order-Cone Decompositions of Semidefinite Optimization Problems.
CoRR
Dimitris Bertsimas, Ryan Cory-Wright
2019 J jnl
Online Mixed-Integer Optimization in Milliseconds.
CoRR
Dimitris Bertsimas, Bartolomeo Stellato
2019 J jnl
Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications.
Oper. Res.
Dimitris Bertsimas, Patrick Jaillet, Sébastien Martin
2019 J jnl
Optimal Explanations of Linear Models.
CoRR
Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin
2019 J jnl
Optimal Prescriptive Trees.
INFORMS J. Optim.
Dimitris Bertsimas, Jack Dunn, Nishanth Mundru
2019 J jnl
Optimizing schools' start time and bus routes.
Proc. Natl. Acad. Sci. USA
Dimitris Bertsimas, Arthur Delarue, Sébastien Martin
2019 J jnl
Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach.
CoRR
Dimitris Bertsimas, Agni Orfanoudaki, Rory B. Weiner
2019 J jnl
Prescriptive analytics for human resource planning in the professional services industry.
Eur. J. Oper. Res.
Lauren Berk, Dimitris Bertsimas, Alexander M. Weinstein, Julia Yan
2019 J jnl
Robust Classification.
INFORMS J. Optim.
Dimitris Bertsimas, Jack Dunn, Colin Pawlowski, Ying Daisy Zhuo
2019 J jnl
Robust Maximum Likelihood Estimation.
INFORMS J. Comput.
Dimitris Bertsimas, Omid Nohadani
2019 J jnl
Robust and stochastic formulations for ambulance deployment and dispatch.
Eur. J. Oper. Res.
Dimitris Bertsimas, Yeesian Ng
2019 J jnl
The
Eur. J. Oper. Res.
Dimitris Bertsimas, Patrick Jaillet, Nikita Korolko
2019 J jnl
The Airlift Planning Problem.
Transp. Sci.
Dimitris Bertsimas, Allison Chang, Velibor V. Misic, Nishanth Mundru
2019 J jnl
The Price of Interpretability.
CoRR
Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin
2019 J jnl
Travel Time Estimation in the Age of Big Data.
Oper. Res.
Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin
2018 J jnl
Binary decision rules for multistage adaptive mixed-integer optimization.
Math. Program.
Dimitris Bertsimas, Angelos Georghiou
2018 J jnl
Characterization of the equivalence of robustification and regularization in linear and matrix regression.
Eur. J. Oper. Res.
Dimitris Bertsimas, Martin S. Copenhaver
2018 J jnl
Data-driven robust optimization.
Math. Program.
Dimitris Bertsimas, Vishal Gupta, Nathan Kallus
2018 J jnl
From Physical Properties of Transportation Flows to Demand Estimation: An Optimization Approach.
Transp. Sci.
Dimitris Bertsimas, Julia Yan
2018 J jnl
Imputation of Clinical Covariates in Time Series.
CoRR
Dimitris Bertsimas, Agni Orfanoudaki, Colin Pawlowski
2018 J jnl
Interpretable Clustering via Optimal Trees.
CoRR
Dimitris Bertsimas, Agni Orfanoudaki, Holly M. Wiberg
2018 J jnl
Interpretable Matrix Completion: A Discrete Optimization Approach.
CoRR
Dimitris Bertsimas, Michael Lingzhi Li
2018 J jnl
Multitarget Tracking via Mixed Integer Optimization.
IEEE Trans. Autom. Control.
Dimitris Bertsimas, Zachary Saunders, Shimrit Shtern
2018 A* conf
Optimization over Continuous and Multi-dimensional Decisions with Observational Data.
NeurIPS
Dimitris Bertsimas, Christopher McCord
2018 J jnl
Optimization over Continuous and Multi-dimensional Decisions with Observational Data.
CoRR
Dimitris Bertsimas, Christopher McCord
2018 J jnl
Robust sample average approximation.
Math. Program.
Dimitris Bertsimas, Vishal Gupta, Nathan Kallus
2018 J jnl
Robust transient analysis of multi-server queueing systems and feed-forward networks.
Queueing Syst. Theory Appl.
Chaithanya Bandi, Dimitris Bertsimas, Nataly Youssef
2017 J jnl
A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems.
Eur. J. Oper. Res.
Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta, Mykel J. Kochenderfer, Velibor V. Misic
2017 J jnl
Certifiably Optimal Low Rank Factor Analysis.
J. Mach. Learn. Res.
Dimitris Bertsimas, Martin S. Copenhaver, Rahul Mazumder
2017 J jnl
From Predictive Methods to Missing Data Imputation: An Optimization Approach.
J. Mach. Learn. Res.
Dimitris Bertsimas, Colin Pawlowski, Ying Daisy Zhuo
2017 J jnl
Optimal classification trees.
Mach. Learn.
Dimitris Bertsimas, Jack Dunn
2017 J jnl
Robust Product Line Design.
Oper. Res.
Dimitris Bertsimas, Velibor V. Misic
2017 J jnl
Sparse Hierarchical Regression with Polynomials.
CoRR
Dimitris Bertsimas, Bart P. G. Van Parys
2016 J jnl
An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer.
Manag. Sci.
Dimitris Bertsimas, Allison O'Hair, Stephen Relyea, John Silberholz
2016 J jnl
Decomposable Markov Decision Processes: A Fluid Optimization Approach.
Oper. Res.
Dimitris Bertsimas, Velibor V. Misic
2016 J jnl
Duality in Two-Stage Adaptive Linear Optimization: Faster Computation and Stronger Bounds.
INFORMS J. Comput.
Dimitris Bertsimas, Frans J. C. T. de Ruiter
2016 J jnl
Fairness and Collaboration in Network Air Traffic Flow Management: An Optimization Approach.
Transp. Sci.
Dimitris Bertsimas, Shubham Gupta
2016 J jnl
Multistage Robust Mixed-Integer Optimization with Adaptive Partitions.
Oper. Res.
Dimitris Bertsimas, Iain Dunning
2016 J jnl
OR Forum - An Algorithmic Approach to Linear Regression.
Oper. Res.
Dimitris Bertsimas, Angela King
2016 J jnl
On the power of randomization in network interdiction.
Oper. Res. Lett.
Dimitris Bertsimas, Ebrahim Nasrabadi, James B. Orlin
2016 J jnl
Reformulation versus cutting-planes for robust optimization.
Comput. Manag. Sci.
Dimitris Bertsimas, Iain Dunning, Miles Lubin
2016 J jnl
Unified Optimization of Traffic Flows Through Airports.
Transp. Sci.
Dimitris Bertsimas, Michael Frankovich
2015 J jnl
A tight characterization of the performance of static solutions in two-stage adjustable robust linear optimization.
Math. Program.
Dimitris Bertsimas, Vineet Goyal, Brian Y. Lu
2015 J jnl
Data-driven estimation in equilibrium using inverse optimization.
Math. Program.
Dimitris Bertsimas, Vishal Gupta, Ioannis Ch. Paschalidis
2015 J jnl
Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization.
Oper. Res.
Dimitris Bertsimas, Angelos Georghiou
2015 J jnl
OR Forum - Tenure Analytics: Models for Predicting Research Impact.
Oper. Res.
Dimitris Bertsimas, Erik Brynjolfsson, Shachar Reichman, John Silberholz
2015 J jnl
On the performance of affine policies for two-stage adaptive optimization: a geometric perspective.
Math. Program.
Dimitris Bertsimas, Hoda Bidkhori
2015 J jnl
Optimizing over coherent risk measures and non-convexities: a robust mixed integer optimization approach.
Comput. Optim. Appl.
Dimitris Bertsimas, Akiko Takeda
2015 J jnl
Robust Fluid Processing Networks.
IEEE Trans. Autom. Control.
Dimitris Bertsimas, Ebrahim Nasrabadi, Ioannis Ch. Paschalidis
2015 J jnl
Robust Queueing Theory.
Oper. Res.
Chaithanya Bandi, Dimitris Bertsimas, Nataly Youssef
2015 J jnl
The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples.
Oper. Res.
Dimitris Bertsimas, Mac Johnson, Nathan Kallus
2014 J jnl
A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation.
CoRR
Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta, Mykel J. Kochenderfer, Velibor V. Misic, Robert J. Moss
2014 J jnl
Characterization of the equivalence of robustification and regularization in linear, median, and matrix regression.
CoRR
Dimitris Bertsimas, Martin S. Copenhaver
2014 J jnl
Dynamic resource allocation: A flexible and tractable modeling framework.
Eur. J. Oper. Res.
Dimitris Bertsimas, Shubham Gupta, Guglielmo Lulli
2014 J jnl
Introduction to the Special Issue on Business Analytics.
Manag. Sci.
Dimitris Bertsimas, Eric T. Bradlow, Noah Gans, Alok Gupta
2014 J jnl
Optimal Design for Multi-Item Auctions: A Robust Optimization Approach.
Math. Oper. Res.
Chaithanya Bandi, Dimitris Bertsimas
2014 J jnl
Robust option pricing.
Eur. J. Oper. Res.
Chaithanya Bandi, Dimitris Bertsimas
2013 J jnl
A New Local Search Algorithm for Binary Optimization.
INFORMS J. Comput.
Dimitris Bertsimas, Dan Andrei Iancu, Dmitriy Katz
2013 J jnl
A hybrid approach to beam angle optimization in intensity-modulated radiation therapy.
Comput. Oper. Res.
Dimitris Bertsimas, Valentina Cacchiani, David Craft, Omid Nohadani
2013 J jnl
An accelerated first-order method for solving SOS relaxations of unconstrained polynomial optimization problems.
Optim. Methods Softw.
Dimitris Bertsimas, Robert M. Freund, Xu Andy Sun
2013 J jnl
Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation.
Oper. Res.
Dimitris Bertsimas, Vivek F. Farias, Nikolaos Trichakis
2013 J jnl
Learning Preferences Under Noise and Loss Aversion: An Optimization Approach.
Oper. Res.
Dimitris Bertsimas, Allison O'Hair
2013 C conf
Network Analysis for Predicting Academic Impact.
ICIS
Dimitris Bertsimas, Erik Brynjolfsson, Shachar Reichman, John Silberholz
2013 J jnl
On the approximability of adjustable robust convex optimization under uncertainty.
Math. Methods Oper. Res.
Dimitris Bertsimas, Vineet Goyal
2013 J jnl
On the power of randomization in network interdiction.
CoRR
Dimitris Bertsimas, Ebrahim Nasrabadi, James B. Orlin
2013 J jnl
Robust and Adaptive Network Flows.
Oper. Res.
Dimitris Bertsimas, Ebrahim Nasrabadi, Sebastian Stiller
2012 — conf
An Integer Optimization Approach to Associative Classification.
NIPS
Allison Chang, Dimitris Bertsimas, Cynthia Rudin
2012 J jnl
Call for Papers - Special Issue of
Manag. Sci.
Dimitris Bertsimas, Eric T. Bradlow, Noah Gans, Alok Gupta
2012 J jnl
Call for Papers Special Issue of
Manag. Sci.
Dimitris Bertsimas, Eric T. Bradlow, Noah Gans, Alok Gupta
2012 J jnl
Equitable and Efficient Coordination in Traffic Flow Management.
Transp. Sci.
Cynthia Barnhart, Dimitris Bertsimas, Constantine Caramanis, Douglas Fearing
2012 J jnl
Inverse Optimization: A New Perspective on the Black-Litterman Model.
Oper. Res.
Dimitris Bertsimas, Vishal Gupta, Ioannis Ch. Paschalidis
2012 J jnl
On the Efficiency-Fairness Trade-off.
Manag. Sci.
Dimitris Bertsimas, Vivek F. Farias, Nikolaos Trichakis
2012 J jnl
On the power and limitations of affine policies in two-stage adaptive optimization.
Math. Program.
Dimitris Bertsimas, Vineet Goyal
2012 J jnl
Tractable stochastic analysis in high dimensions via robust optimization.
Math. Program.
Chaithanya Bandi, Dimitris Bertsimas
2011 J jnl
A Geometric Characterization of the Power of Finite Adaptability in Multistage Stochastic and Adaptive Optimization.
Math. Oper. Res.
Dimitris Bertsimas, Vineet Goyal, Xu Andy Sun
2011 J jnl
A Hierarchy of Near-Optimal Policies for Multistage Adaptive Optimization.
IEEE Trans. Autom. Control.
Dimitris Bertsimas, Dan Andrei Iancu, Pablo A. Parrilo
2011 J jnl
An Integer Optimization Approach to Large-Scale Air Traffic Flow Management.
Oper. Res.
Dimitris Bertsimas, Guglielmo Lulli, Amedeo R. Odoni
2011 J jnl
Optimal Selection of Airport Runway Configurations.
Oper. Res.
Dimitris Bertsimas, Michael Frankovich, Amedeo R. Odoni
2011 J jnl
Performance Analysis of Queueing Networks via Robust Optimization.
Oper. Res.
Dimitris Bertsimas, David Gamarnik, Alexander Anatoliy Rikun
2011 J jnl
The Price of Fairness.
Oper. Res.
Dimitris Bertsimas, Vivek F. Farias, Nikolaos Trichakis
2011 J jnl
Theory and Applications of Robust Optimization.
SIAM Rev.
Dimitris Bertsimas, David B. Brown, Constantine Caramanis
2010 J jnl
A Soft Robust Model for Optimization Under Ambiguity.
Oper. Res.
Aharon Ben-Tal, Dimitris Bertsimas, David B. Brown
2010 J jnl
Finite Adaptability in Multistage Linear Optimization.
IEEE Trans. Autom. Control.
Dimitris Bertsimas, Constantine Caramanis
2010 J jnl
Models for Minimax Stochastic Linear Optimization Problems with Risk Aversion.
Math. Oper. Res.
Dimitris Bertsimas, Xuan Vinh Doan, Karthik Natarajan, Chung-Piaw Teo
2010 J jnl
Nonconvex Robust Optimization for Problems with Constraints.
INFORMS J. Comput.
Dimitris Bertsimas, Omid Nohadani, Kwong Meng Teo
2010 J jnl
On the Power of Robust Solutions in Two-Stage Stochastic and Adaptive Optimization Problems.
Math. Oper. Res.
Dimitris Bertsimas, Vineet Goyal
2010 J jnl
Optimality of Affine Policies in Multistage Robust Optimization.
Math. Oper. Res.
Dimitris Bertsimas, Dan Andrei Iancu, Pablo A. Parrilo
2010 J jnl
Robust Optimization for Unconstrained Simulation-Based Problems.
Oper. Res.
Dimitris Bertsimas, Omid Nohadani, Kwong Meng Teo
2010 J jnl
Robust and data-driven approaches to call centers.
Eur. J. Oper. Res.
Dimitris Bertsimas, Xuan Vinh Doan
2010 J jnl
Robust optimization with simulated annealing.
J. Glob. Optim.
Dimitris Bertsimas, Omid Nohadani
2010 J jnl
Theory and Applications of Robust Optimization
CoRR
Dimitris Bertsimas, David B. Brown, Constantine Caramanis
2009 J jnl
Algorithm for cardinality-constrained quadratic optimization.
Comput. Optim. Appl.
Dimitris Bertsimas, Romy Shioda
2009 J jnl
Constructing Uncertainty Sets for Robust Linear Optimization.
Oper. Res.
Dimitris Bertsimas, David B. Brown
2009 — conf
Optimality of affine policies in multi-stage robust optimization.
CDC
Dimitris Bertsimas, Dan Andrei Iancu, Pablo A. Parrilo
2008 J jnl
Algorithmic Prediction of Health-Care Costs.
Oper. Res.
Dimitris Bertsimas, Margrét V. Bjarnadóttir, Michael A. Kane, J. Christian Kryder, Rudra Pandey, Santosh S. Vempala, Grant Wang
2008 J jnl
Approximating integrals of multivariate exponentials: A moment approach.
Oper. Res. Lett.
Dimitris Bertsimas, Xuan Vinh Doan, Jean B. Lasserre
2008 J jnl
Robust multiperiod portfolio management in the presence of transaction costs.
Comput. Oper. Res.
Dimitris Bertsimas, Dessislava Pachamanova
2008 B conf
The Air Traffic Flow Management Problem: An Integer Optimization Approach.
IPCO
Dimitris Bertsimas, Guglielmo Lulli, Amedeo R. Odoni
2007 J jnl
A Learning Approach for Interactive Marketing to a Customer Segment.
Oper. Res.
Dimitris Bertsimas, Adam J. Mersereau
2007 J jnl
A semidefinite optimization approach to the steady-state analysis of queueing systems.
Queueing Syst. Theory Appl.
Dimitris Bertsimas, Karthik Natarajan
2007 — conf
Adaptability via sampling.
CDC
Dimitris Bertsimas, Constantine Caramanis
2007 J jnl
Classification and Regression via Integer Optimization.
Oper. Res.
Dimitris Bertsimas, Romy Shioda
2007 J jnl
Constrained Stochastic LQC: A Tractable Approach.
IEEE Trans. Autom. Control.
Dimitris Bertsimas, David B. Brown
2006 J jnl
A Robust Optimization Approach to Inventory Theory.
Oper. Res.
Dimitris Bertsimas, Aurélie Thiele
2006 J jnl
Bounds on linear PDEs via semidefinite optimization.
Math. Program.
Dimitris Bertsimas, Constantine Caramanis
2006 J jnl
Persistence in discrete optimization under data uncertainty.
Math. Program.
Dimitris Bertsimas, Karthik Natarajan, Chung-Piaw Teo
2006 J jnl
Robust game theory.
Math. Program.
Michele Aghassi, Dimitris Bertsimas
2006 J jnl
Solving asymmetric variational inequalities via convex optimization.
Oper. Res. Lett.
Michele Aghassi, Dimitris Bertsimas, Georgia Perakis
2006 J jnl
Tractable Approximations to Robust Conic Optimization Problems.
Math. Program.
Dimitris Bertsimas, Melvyn Sim
2005 J jnl
Optimal Inequalities in Probability Theory: A Convex Optimization Approach.
SIAM J. Optim.
Dimitris Bertsimas, Ioana Popescu
2005 — book
Optimization over integers.
Dimitris Bertsimas, Robert Weismantel
2005 J jnl
Simulation-Based Booking Limits for Airline Revenue Management.
Oper. Res.
Dimitris Bertsimas, Sanne de Boer
2004 B conf
A Robust Optimization Approach to Supply Chain Management.
IPCO
Dimitris Bertsimas, Aurélie Thiele
2004 — book
Data, models, and decisions - the fundamentals of management science.
Dimitris Bertsimas, Robert M. Freund
2004 J jnl
Probabilistic Combinatorial Optimization: Moments, Semidefinite Programming, and Asymptotic Bounds.
SIAM J. Optim.
Dimitris Bertsimas, Karthik Natarajan, Chung-Piaw Teo
2004 J jnl
Robust linear optimization under general norms.
Oper. Res. Lett.
Dimitris Bertsimas, Dessislava Pachamanova, Melvyn Sim
2004 J jnl
Solving convex programs by random walks.
J. ACM
Dimitris Bertsimas, Santosh S. Vempala
2004 J jnl
The Price of Robustness.
Oper. Res.
Dimitris Bertsimas, Melvyn Sim
2003 A conf
Dynamic Classification of Online Customers.
SDM
Dimitris Bertsimas, Adam J. Mersereau, Nitin R. Patel
2003 J jnl
From Fluid Relaxations to Practical Algorithms for High-Multiplicity Job-Shop Scheduling: The Holding Cost Objective.
Oper. Res.
Dimitris Bertsimas, David Gamarnik, Jay Sethuraman
2003 J jnl
Restaurant Revenue Management.
Oper. Res.
Dimitris Bertsimas, Romy Shioda
2003 J jnl
Revenue Management in a Dynamic Network Environment.
Transp. Sci.
Dimitris Bertsimas, Ioana Popescu
2003 J jnl
Robust discrete optimization and network flows.
Math. Program.
Dimitris Bertsimas, Melvyn Sim
2002 J jnl
An Approximate Dynamic Programming Approach to Multidimensional Knapsack Problems.
Manag. Sci.
Dimitris Bertsimas, Ramazan Demir
2002 J jnl
From fluid relaxations to practical algorithms for job shop scheduling: the makespan objective.
Math. Program.
Dimitris Bertsimas, Jay Sethuraman
2002 J jnl
On the Relation Between Option and Stock Prices: A Convex Optimization Approach.
Oper. Res.
Dimitris Bertsimas, Ioana Popescu
2002 A* conf
Solving convex programs by random walks.
STOC
Dimitris Bertsimas, Santosh S. Vempala
2001 J jnl
Hedging Derivative Securities and Incomplete Markets: An Formula-Arbitrage Approach.
Oper. Res.
Dimitris Bertsimas, Leonid Kogan, Andrew W. Lo
2001 J jnl
Multistage Lot Sizing Problems via Randomized Rounding.
Oper. Res.
Chung-Piaw Teo, Dimitris Bertsimas
2001 J jnl
Probabilistic Service Level Guarantees in Make-to-Stock Manufacturing Systems.
Oper. Res.
Dimitris Bertsimas, Ioannis Ch. Paschalidis
2000 — conf
Performance of multiclass Markovian queueing networks.
CDC
Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis
2000 J jnl
Restless Bandits, Linear Programming Relaxations, and a Primal-Dual Index Heuristic.
Oper. Res.
Dimitris Bertsimas, José Niño-Mora
2000 J jnl
The Traffic Flow Management Rerouting Problem in Air Traffic Control: A Dynamic Network Flow Approach.
Transp. Sci.
Dimitris Bertsimas, Sarah Stock Patterson
1999 J jnl
Analysis of LP relaxations for multiway and multicut problems.
Networks
Dimitris Bertsimas, Chung-Piaw Teo, Rakesh Vohra
1999 J jnl
Asymptotically Optimal Algorithms for Job Shop Scheduling and Packet Routing.
J. Algorithms
Dimitris Bertsimas, David Gamarnik
1999 J jnl
Bounds and Policies for Dynamic Routing in Loss Networks.
Oper. Res.
Dimitris Bertsimas, Thalia Chryssikou
1999 J jnl
Decomposition results for general polling systems and their applications.
Queueing Syst. Theory Appl.
Dimitris Bertsimas, Georgia Mourtzinou
1999 J jnl
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach.
Mach. Learn.
Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis
1999 J jnl
Large deviations analysis of the generalized processor sharing policy.
Queueing Syst. Theory Appl.
Dimitris Bertsimas, Ioannis Ch. Paschalidis, John N. Tsitsiklis
1999 J jnl
On dependent randomized rounding algorithms.
Oper. Res. Lett.
Dimitris Bertsimas, Chung-Piaw Teo, Rakesh Vohra
1999 J jnl
Optimal control of execution costs for portfolios.
Comput. Sci. Eng.
Dimitris Bertsimas, Andrew W. Lo, Paul Hummel
1999 J jnl
Performance analysis of multiclass queueing networks.
SIGMETRICS Perform. Evaluation Rev.
Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis
1999 J jnl
Portfolio Construction Through Mixed-Integer Programming at Grantham, Mayo, Van Otterloo and Company.
Interfaces
Dimitris Bertsimas, Christopher Darnell, Robert Soucy
1998 J jnl
Asymptotic buffer overflow probabilities in multiclass multiplexers: an optimal control approach.
IEEE Trans. Autom. Control.
Dimitris Bertsimas, Ioannis Ch. Paschalidis, John N. Tsitsiklis
1998 J jnl
From Valid Inequalities to Heuristics: A Unified View of Primal-Dual Approximation Algorithms in Covering Problems.
Oper. Res.
Dimitris Bertsimas, Chung-Piaw Teo
1998 J jnl
Rounding algorithms for covering problems.
Math. Program.
Dimitris Bertsimas, Rakesh V. Vohra
1998 J jnl
The Air Traffic Flow Management Problem with Enroute Capacities.
Oper. Res.
Dimitris Bertsimas, Sarah Stock Patterson
1997 J jnl
Correction to "Stability Conditions for Multiclass Fluid Queueing Networks".
IEEE Trans. Autom. Control.
Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis
1997 A* conf
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach.
COLT
Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis
1997 — book
Introduction to linear optimization.
Dimitris Bertsimas, John N. Tsitsiklis
1997 J jnl
Multiclass Queueing Systems in Heavy Traffic: An Asymptotic Approach Based on Distributional and Conservation Laws.
Oper. Res.
Dimitris Bertsimas, Georgia Mourtzinou
1997 J jnl
On the worst case complexity of potential reduction algorithms for linear programming.
Math. Program.
Dimitris Bertsimas, Xiaodong Luo
1997 J jnl
The parsimonious property of cut covering problems and its applications.
Oper. Res. Lett.
Dimitris Bertsimas, Chung-Piaw Teo
1997 J jnl
Transient Laws of Non-Stationary Queueing Systems and Their Applications.
Queueing Syst. Theory Appl.
Dimitris Bertsimas, Georgia Mourtzinou
1996 J jnl
Conservation Laws, Extended Polymatroids and Multiarmed Bandit Problems; A Polyhedral Approach to Indexable Systems.
Math. Oper. Res.
Dimitris Bertsimas, José Niño-Mora
1996 B conf
Improved Randomized Approximation Algorithms for Lot-Sizing Problems.
IPCO
Chung-Piaw Teo, Dimitris Bertsimas
1996 B conf
On Dependent Randomized Rounding Algorithms.
IPCO
Dimitris Bertsimas, Chung-Piaw Teo, Rakesh Vohra
1996 J jnl
Stability conditions for multiclass fluid queueing networks.
IEEE Trans. Autom. Control.
Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis
1995 J jnl
Branching bandits and Klimov's problem: achievable region and side constraints.
IEEE Trans. Autom. Control.
Dimitris Bertsimas, Ioannis Ch. Paschalidis, John N. Tsitsiklis
1995 J jnl
Computational Approaches to Stochastic Vehicle Routing Problems.
Transp. Sci.
Dimitris Bertsimas, Philippe Chervi, Michael D. Peterson
1995 A* conf
From Valid Inequalities to Heuristics: A Unified View of Primal-Dual Approximation Algorithms in Covering Problems.
SODA
Dimitris Bertsimas, Chung-Piaw Teo
1995 J jnl
Locating Discretionary Service Facilities, II: Maximizing Market Size, Minimizing Inconvenience.
Oper. Res.
Oded Berman, Dimitris Bertsimas, Richard C. Larson
1995 B conf
Nonlinear Formulations and Improved Randomized Approximation Algorithms for Multicut Problems.
IPCO
Dimitris Bertsimas, Chung-Piaw Teo, Rakesh Vohra
1995 J jnl
The Distributional Little's Law and Its Applications.
Oper. Res.
Dimitris Bertsimas, Daisuke Nakazato
1995 J jnl
The achievable region method in the optimal control of queueing systems; formulations, bounds and policies.
Queueing Syst. Theory Appl.
Dimitris Bertsimas
1994 J jnl
A technique for speeding up the solution of the Lagrangean dual.
Math. Program.
Dimitris Bertsimas, James B. Orlin
1994 J jnl
Dynamic Ground-Holding Policies for a Network of Airports.
Transp. Sci.
Peter B. M. Vranas, Dimitris Bertsimas, Amedeo R. Odoni
1994 J jnl
TSS Dissertation Abstracts - Abstracts for the 1993 Transportation Science Section Dissertation Prize Competition.
Transp. Sci.
Dimitris Bertsimas
1993 B conf
Conservation laws, extended polymatroids and multi-armed bandit problems: a unified approach to ind exable systems.
IPCO
Dimitris Bertsimas, José Niño-Mora
1993 B conf
On a characterization of the minimum assignment and matching in the independent random model.
IPCO
Florin Avram, Dimitris Bertsimas
1993 J jnl
Survivable networks, linear programming relaxations and the parsimonious property.
Math. Program.
Michel X. Goemans, Dimitris Bertsimas
1992 B conf
A Technique for Speeding up the Solution of the Lagrangian Dual.
IPCO
Dimitris Bertsimas, James B. Orlin
1992 J jnl
Transient and busy period analysis of the
Queueing Syst. Theory Appl.
Dimitris Bertsimas, Daisuke Nakazato
1990 J jnl
An Analytic Approach to a General Class of G/G/s Queueing Systems.
Oper. Res.
Dimitris Bertsimas
1990 A* conf
On the Parsimonious Property of Connectivity Problems.
SODA
Michel X. Goemans, Dimitris Bertsimas
1990 J jnl
The probabilistic minimum spanning tree problem.
Networks
Dimitris Bertsimas
1988 J jnl
An Exact FCFS Waiting Time Analysis for a General Class of G/G/s Queueing Systems.
Queueing Syst. Theory Appl.
Dimitris Bertsimas
1988 J jnl
On the Steady-State Solution of the
Transp. Sci.
Dimitris Bertsimas, Xenophon Papaconstantinou