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Dimitris Bertsimas
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- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2024
- [j225]Dimitris Bertsimas, Thodoris Koukouvinos:
Robust linear algebra. Eur. J. Oper. Res. 314(3): 1174-1184 (2024) - [j224]Dimitris Bertsimas
, Jean Pauphilet
:
Hospital-Wide Inpatient Flow Optimization. Manag. Sci. 70(7): 4893-4911 (2024) - [j223]Dimitris Bertsimas
, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov:
Holistic deep learning. Mach. Learn. 113(1): 159-183 (2024) - [j222]Dimitris Bertsimas, Nicholas A. G. Johnson
:
Compressed sensing: a discrete optimization approach. Mach. Learn. 113(9): 6725-6764 (2024) - [j221]Dimitris Bertsimas, Stefan C. M. ten Eikelder
, Dick den Hertog, Nikolaos Trichakis
:
Pareto Adaptive Robust Optimality via a Fourier-Motzkin Elimination lens. Math. Program. 205(1): 485-538 (2024) - [j220]Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet:
Simple Imputation Rules for Prediction with Missing Data: Theoretical Guarantees vs. Empirical Performance. Trans. Mach. Learn. Res. 2024 (2024) - [j219]Wes Gurnee, Theo Horsley, Zifan Carl Guo, Tara Rezaei Kheirkhah, Qinyi Sun, Will Hathaway, Neel Nanda, Dimitris Bertsimas:
Universal Neurons in GPT2 Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [i61]Wes Gurnee, Theo Horsley, Zifan Carl Guo, Tara Rezaei Kheirkhah, Qinyi Sun, Will Hathaway, Neel Nanda, Dimitris Bertsimas:
Universal Neurons in GPT2 Language Models. CoRR abs/2401.12181 (2024) - [i60]Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet:
Adaptive Optimization for Prediction with Missing Data. CoRR abs/2402.01543 (2024) - [i59]Vassilis Digalakis Jr., Yu Ma, Phevos Paschalidis, Dimitris Bertsimas:
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences. CoRR abs/2403.19871 (2024) - [i58]Dimitris Bertsimas, Yu Ma:
M3H: Multimodal Multitask Machine Learning for Healthcare. CoRR abs/2404.18975 (2024) - [i57]Dimitris Bertsimas, Cynthia Zeng:
Catastrophe Insurance: An Adaptive Robust Optimization Approach. CoRR abs/2405.07068 (2024) - [i56]Dimitris Bertsimas, Matthew Peroni:
Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning. CoRR abs/2405.20486 (2024) - [i55]Dimitris Bertsimas, Nicholas A. G. Johnson:
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM. CoRR abs/2407.13731 (2024) - 2023
- [j218]Dimitris Bertsimas, Christopher McCord, Bradley Sturt
:
Dynamic optimization with side information. Eur. J. Oper. Res. 304(2): 634-651 (2023) - [j217]Dimitris Bertsimas
, Michael Lingzhi Li
:
Interpretable Matrix Completion: A Discrete Optimization Approach. INFORMS J. Comput. 35(5): 952-965 (2023) - [j216]Dimitris Bertsimas
, Cheol Woo Kim:
A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization. INFORMS J. Comput. 35(6): 1225-1241 (2023) - [j215]Dimitris Bertsimas
, Nathan Kallus
:
The Power and Limits of Predictive Approaches to Observational Data-Driven Optimization: The Case of Pricing. INFORMS J. Optim. 5(1): 110-129 (2023) - [j214]Dimitris Bertsimas
, Omar Skali Lami
:
Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems. INFORMS J. Optim. 5(2): 155-171 (2023) - [j213]Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, Najat Khan:
Data-Driven COVID-19 Vaccine Development for Janssen. INFORMS J. Appl. Anal. 53(1): 70-84 (2023) - [j212]Theodore Papalexopoulos, James B. Alcorn
, Dimitris Bertsimas
, Rebecca E. Goff, Darren E. Stewart
, Nikolaos Trichakis
:
Applying Analytics to Design Lung Transplant Allocation Policy. INFORMS J. Appl. Anal. 53(5): 350-358 (2023) - [j211]Michael Lingzhi Li
, Hamza Tazi Bouardi
, Omar Skali Lami
, Thomas A. Trikalinos
, Nikolaos Trichakis
, Dimitris Bertsimas
:
Forecasting COVID-19 and Analyzing the Effect of Government Interventions. Oper. Res. 71(1): 184-201 (2023) - [j210]Dimitris Bertsimas
, Arthur Delarue
:
Policy Analytics in Public School Operations. Oper. Res. 71(1): 289-313 (2023) - [j209]Dimitris Bertsimas
, Nishanth Mundru
:
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization. Oper. Res. 71(4): 1343-1361 (2023) - [j208]Dimitris Bertsimas, Driss Lahlou Kitane:
Sparse PCA: a Geometric Approach. J. Mach. Learn. Res. 24: 32:1-32:33 (2023) - [j207]Dimitris Bertsimas
, Shimrit Shtern
, Bradley Sturt
:
A Data-Driven Approach to Multistage Stochastic Linear Optimization. Manag. Sci. 69(1): 51-74 (2023) - [j206]Dimitris Bertsimas
, Colin Pawlowski:
Tensor completion with noisy side information. Mach. Learn. 112(10): 3945-3976 (2023) - [j205]Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet, Jianzhe Zhen
:
Robust convex optimization: A new perspective that unifies and extends. Math. Program. 200(2): 877-918 (2023) - [j204]Dimitris Bertsimas
, Ryan Cory-Wright
, Jean Pauphilet
:
A new perspective on low-rank optimization. Math. Program. 202(1): 47-92 (2023) - [j203]Dimitris Bertsimas
, Ryan Cory-Wright
, Jean Pauphilet
:
Publisher Correction to: A new perspective on low-rank optimization. Math. Program. 202(1): 93-94 (2023) - [j202]Dimitris Bertsimas
, Vassilis Digalakis
:
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme. IEEE Trans. Knowl. Data Eng. 35(2): 1541-1553 (2023) - [j201]Wes Gurnee, Neel Nanda, Matthew Pauly, Katherine Harvey, Dmitrii Troitskii, Dimitris Bertsimas:
Finding Neurons in a Haystack: Case Studies with Sparse Probing. Trans. Mach. Learn. Res. 2023 (2023) - [i54]Cynthia Zeng, Dimitris Bertsimas:
Global Flood Prediction: a Multimodal Machine Learning Approach. CoRR abs/2301.12548 (2023) - [i53]Dimitris Bertsimas, Kimberly Villalobos Carballo:
Multistage Stochastic Optimization via Kernels. CoRR abs/2303.06515 (2023) - [i52]Dimitris Bertsimas, Léonard Boussioux, Cynthia Zeng:
Reducing Air Pollution through Machine Learning. CoRR abs/2303.12285 (2023) - [i51]Dimitris Bertsimas, Léonard Boussioux:
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach. CoRR abs/2304.04308 (2023) - [i50]Wes Gurnee, Neel Nanda, Matthew Pauly, Katherine Harvey, Dmitrii Troitskii, Dimitris Bertsimas:
Finding Neurons in a Haystack: Case Studies with Sparse Probing. CoRR abs/2305.01610 (2023) - [i49]Dimitris Bertsimas, Ryan Cory-Wright, Sean Lo, Jean Pauphilet:
Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions. CoRR abs/2305.12292 (2023) - [i48]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:
Patient Outcome Predictions Improve Operations at a Large Hospital Network. CoRR abs/2305.15629 (2023) - [i47]Dimitris Bertsimas, Vassilis Digalakis Jr.:
Improving Stability in Decision Tree Models. CoRR abs/2305.17299 (2023) - [i46]Dimitris Bertsimas, Nicholas A. G. Johnson:
Compressed Sensing: A Discrete Optimization Approach. CoRR abs/2306.04647 (2023) - [i45]Dimitris Bertsimas, Cheol Woo Kim:
Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach. CoRR abs/2307.12405 (2023) - [i44]Dimitris Bertsimas, Cheol Woo Kim:
A Machine Learning Approach to Two-Stage Adaptive Robust Optimization. CoRR abs/2307.12409 (2023) - [i43]Dimitris Bertsimas, Angelos G. Koulouras, Georgios Antonios Margonis:
The R.O.A.D. to precision medicine. CoRR abs/2311.01681 (2023) - [i42]Dimitris Bertsimas, Georgios Margaritis:
Global Optimization: A Machine Learning Approach. CoRR abs/2311.01742 (2023) - [i41]Dimitris Bertsimas, Yu Ma:
Robust Regression over Averaged Uncertainty. CoRR abs/2311.06960 (2023) - 2022
- [j200]Dimitris Bertsimas
, Ryan Cory-Wright
:
A Scalable Algorithm for Sparse Portfolio Selection. INFORMS J. Comput. 34(3): 1489-1511 (2022) - [j199]Dimitris Bertsimas
, Bartolomeo Stellato
:
Online Mixed-Integer Optimization in Milliseconds. INFORMS J. Comput. 34(4): 2229-2248 (2022) - [j198]Dimitris Bertsimas
, Michael Lingzhi Li
:
Stochastic Cutting Planes for Data-Driven Optimization. INFORMS J. Comput. 34(5): 2400-2409 (2022) - [j197]Adrian Becker, Kassem Benabderrazik, Dimitris Bertsimas, Nada Chtinna, Nada El Majdoub, El Miloudi Mahboubi, Driss Lahlou Kitane, Steve Kokkotos, Georgia Mourtzinou, Ilyas Rakhis:
Toward Global Food Security: Transforming OCP Through Analytics. INFORMS J. Appl. Anal. 52(1): 90-107 (2022) - [j196]Dimitris Bertsimas
, Nihal Koduri
:
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach. Oper. Res. 70(1): 454-471 (2022) - [j195]Dimitris Bertsimas
, Shimrit Shtern
, Bradley Sturt
:
Technical Note - Two-Stage Sample Robust Optimization. Oper. Res. 70(1): 624-640 (2022) - [j194]Dimitris Bertsimas
, Ryan Cory-Wright
, Jean Pauphilet
:
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. Oper. Res. 70(6): 3321-3344 (2022) - [j193]Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet:
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. J. Mach. Learn. Res. 23: 13:1-13:35 (2022) - [j192]Dimitris Bertsimas, Jack Dunn, Ivan S. Paskov:
Stable Classification. J. Mach. Learn. Res. 23: 296:1-296:53 (2022) - [j191]Dimitris Bertsimas
, Vassilis Digalakis
:
The backbone method for ultra-high dimensional sparse machine learning. Mach. Learn. 111(6): 2161-2212 (2022) - [j190]Dimitris Bertsimas
, Jack Dunn, Emma Gibson, Agni Orfanoudaki
:
Optimal survival trees. Mach. Learn. 111(8): 2951-3023 (2022) - [j189]Dimitris Bertsimas
, Alex Paskov:
World-class interpretable poker. Mach. Learn. 111(8): 3063-3083 (2022) - [j188]Dimitris Bertsimas, Bart P. G. Van Parys
:
Bootstrap robust prescriptive analytics. Math. Program. 195(1): 39-78 (2022) - [j187]Cynthia Barnhart
, Dimitris Bertsimas
, Arthur Delarue
, Julia Yan
:
Course Scheduling Under Sudden Scarcity: Applications to Pandemic Planning. Manuf. Serv. Oper. Manag. 24(2): 727-745 (2022) - [j186]Dimitris Bertsimas
, Jean Pauphilet
, Jennifer P. Stevens
, Manu Tandon:
Predicting Inpatient Flow at a Major Hospital Using Interpretable Analytics. Manuf. Serv. Oper. Manag. 24(6): 2809-2824 (2022) - [j185]Luis R. Soenksen
, Yu Ma, Cynthia Zeng, Léonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na
, Holly M. Wiberg
, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas:
Integrated multimodal artificial intelligence framework for healthcare applications. npj Digit. Medicine 5 (2022) - [j184]Dimitris Bertsimas
, Jack Dunn, Lea Kapelevich
, Rebecca Zhang:
Sparse regression over clusters: SparClur. Optim. Lett. 16(2): 433-448 (2022) - [c23]Dimitris Bertsimas, Vassilis Digalakis:
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme (Extended Abstract). ICDE 2022: 1565-1566 - [c22]Dimitris Bertsimas, Predrag V. Klasnja, Susan A. Murphy
, Liangyuan Na:
Data-driven Interpretable Policy Construction for Personalized Mobile Health. ICDH 2022: 13-22 - [i40]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:
Integrated multimodal artificial intelligence framework for healthcare applications. CoRR abs/2202.12998 (2022) - [i39]Dimitris Bertsimas, Wes Gurnee:
Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization. CoRR abs/2206.00176 (2022) - [i38]Dimitris Bertsimas, Kimberly Villalobos Carballo, Yu Ma, Liangyuan Na, Léonard Boussioux, Cynthia Zeng, Luis R. Soenksen, Ignacio Fuentes:
TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures. CoRR abs/2206.10381 (2022) - [i37]Dimitris Bertsimas, Kosuke Imai, Michael Lingzhi Li:
Distributionally Robust Causal Inference with Observational Data. CoRR abs/2210.08326 (2022) - 2021
- [j183]Dimitris Bertsimas
, Nishanth Mundru
:
Sparse Convex Regression. INFORMS J. Comput. 33(1): 262-279 (2021) - [j182]Dimitris Bertsimas
, Yee Sian Ng, Julia Yan
:
Data-Driven Transit Network Design at Scale. Oper. Res. 69(4): 1118-1133 (2021) - [j181]Dimitris Bertsimas
, Agni Orfanoudaki
, Holly M. Wiberg:
Interpretable clustering: an optimization approach. Mach. Learn. 110(1): 89-138 (2021) - [j180]Dimitris Bertsimas
, Agni Orfanoudaki
, Colin Pawlowski:
Imputation of clinical covariates in time series. Mach. Learn. 110(1): 185-248 (2021) - [j179]Dimitris Bertsimas, Bartolomeo Stellato
:
The voice of optimization. Mach. Learn. 110(2): 249-277 (2021) - [j178]Dimitris Bertsimas
, Jean Pauphilet
, Bart P. G. Van Parys
:
Sparse classification: a scalable discrete optimization perspective. Mach. Learn. 110(11): 3177-3209 (2021) - [j177]Dimitris Bertsimas
, Jack Dunn, Yuchen Wang:
Near-optimal Nonlinear Regression Trees. Oper. Res. Lett. 49(2): 201-206 (2021) - [j176]Dimitris Bertsimas
, Ryan Cory-Wright
, Jean Pauphilet
:
A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints. SIAM J. Optim. 31(3): 2340-2367 (2021) - [j175]Dimitris Bertsimas
, Dick den Hertog, Jean Pauphilet
:
Probabilistic Guarantees in Robust Optimization. SIAM J. Optim. 31(4): 2893-2920 (2021) - [j174]Dimitris Bertsimas
, Luca Mingardi
, Bartolomeo Stellato
:
Machine Learning for Real-Time Heart Disease Prediction. IEEE J. Biomed. Health Informatics 25(9): 3627-3637 (2021) - [i36]Dimitris Bertsimas, Vassilis Digalakis Jr., Michael Lingzhi Li, Omar Skali Lami:
Slowly Varying Regression under Sparsity. CoRR abs/2102.10773 (2021) - [i35]Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet:
Prediction with Missing Data. CoRR abs/2104.03158 (2021) - [i34]Dimitris Bertsimas, Ryan Cory-Wright
, Jean Pauphilet:
A new perspective on low-rank optimization. CoRR abs/2105.05947 (2021) - [i33]Dimitris Bertsimas, Agni Orfanoudaki:
Pricing Algorithmic Insurance. CoRR abs/2106.00839 (2021) - [i32]Hari Bandi, Dimitris Bertsimas:
The Price of Diversity. CoRR abs/2107.03900 (2021) - [i31]Dimitris Bertsimas, Ryan Cory-Wright
, Nicholas A. G. Johnson:
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach. CoRR abs/2109.12701 (2021) - [i30]Dimitris Bertsimas, Léonard Boussioux, Kimberly Villalobos Carballo, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov:
Holistic Deep Learning. CoRR abs/2110.15829 (2021) - [i29]Donato Maragno, Holly M. Wiberg, Dimitris Bertsimas, S. Ilker Birbil, Dick den Hertog, Adejuyigbe O. Fajemisin:
Mixed-Integer Optimization with Constraint Learning. CoRR abs/2111.04469 (2021) - [i28]Dimitris Bertsimas, Xavier Boix, Kimberly Villalobos Carballo, Dick den Hertog:
A Robust Optimization Approach to Deep Learning. CoRR abs/2112.09279 (2021) - 2020
- [j173]Dimitris Bertsimas
, Iain Dunning:
Relative Robust and Adaptive Optimization. INFORMS J. Comput. 32(2): 408-427 (2020) - [j172]Dimitris Bertsimas
, Ying Daisy Zhuo
:
Novel Target Discovery of Existing Therapies: Path to Personalized Cancer Therapy. INFORMS J. Optim. 2(1): 1-13 (2020) - [j171]Dimitris Bertsimas
, Arthur Delarue
, William Eger, John Hanlon, Sébastien Martin
:
Bus Routing Optimization Helps Boston Public Schools Design Better Policies. INFORMS J. Appl. Anal. 50(1): 37-49 (2020) - [j170]Dimitris Bertsimas
, Bradley Sturt
:
Computation of Exact Bootstrap Confidence Intervals: Complexity and Deterministic Algorithms. Oper. Res. 68(3): 949-964 (2020) - [j169]Dimitris Bertsimas
, Nathan Kallus
:
From Predictive to Prescriptive Analytics. Manag. Sci. 66(3): 1025-1044 (2020) - [j168]Dimitris Bertsimas
, Bart P. G. Van Parys
:
Sparse hierarchical regression with polynomials. Mach. Learn. 109(5): 973-997 (2020) - [j167]Dimitris Bertsimas
, Jourdain B. Lamperski, Jean Pauphilet
:
Certifiably optimal sparse inverse covariance estimation. Math. Program. 184(1): 491-530 (2020) - [j166]Dimitris Bertsimas
, Nataly Youssef:
Stochastic optimization in supply chain networks: averaging robust solutions. Optim. Lett. 14(4): 839-855 (2020) - [j165]Dimitris Bertsimas, Ryan Cory-Wright
:
On polyhedral and second-order cone decompositions of semidefinite optimization problems. Oper. Res. Lett. 48(1): 78-85 (2020) - [j164]Dimitris Bertsimas, Michael Lingzhi Li:
Scalable holistic linear regression. Oper. Res. Lett. 48(3): 203-208 (2020) - [j163]Dimitris Bertsimas
, Yeesian Ng, Julia Yan:
Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale. Transp. Sci. 54(3): 839-853 (2020) - [c21]Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato
, Dimitris Bertsimas, Mac Schwager, Marco Pavone:
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CDC 2020: 1698-1705 - [c20]Hari Bandi, Dimitris Bertsimas:
Optimizing Influenza Vaccine Composition: From Predictions to Prescriptions. MLHC 2020: 121-142 - [i27]Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone:
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CoRR abs/2004.03736 (2020) - [i26]Dimitris Bertsimas, Ryan Cory-Wright
, Jean Pauphilet:
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. CoRR abs/2005.05195 (2020) - [i25]Dimitris Bertsimas, Vassilis Digalakis Jr.:
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning. CoRR abs/2006.06592 (2020) - [i24]Dimitris Bertsimas, Vassilis Digalakis Jr.:
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme. CoRR abs/2007.09261 (2020) - [i23]Dimitris Bertsimas, Ryan Cory-Wright
, Jean Pauphilet:
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. CoRR abs/2009.10395 (2020) - [i22]Léonard Boussioux, Cynthia Zeng, Théo Guénais, Dimitris Bertsimas:
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework. CoRR abs/2011.06125 (2020) - [i21]Dimitris Bertsimas, Jack Dunn, Emma Gibson, Agni Orfanoudaki:
Optimal Survival Trees. CoRR abs/2012.04284 (2020)
2010 – 2019
- 2019
- [j162]Lauren Berk
, Dimitris Bertsimas
, Alexander M. Weinstein, Julia Yan:
Prescriptive analytics for human resource planning in the professional services industry. Eur. J. Oper. Res. 272(2): 636-641 (2019) - [j161]Dimitris Bertsimas
, Patrick Jaillet
, Nikita Korolko:
The K-server problem via a modern optimization lens. Eur. J. Oper. Res. 276(1): 65-78 (2019) - [j160]Dimitris Bertsimas
, Yeesian Ng
:
Robust and stochastic formulations for ambulance deployment and dispatch. Eur. J. Oper. Res. 279(2): 557-571 (2019) - [j159]Dimitris Bertsimas
, Omid Nohadani
:
Robust Maximum Likelihood Estimation. INFORMS J. Comput. 31(3): 445-458 (2019) - [j158]Dimitris Bertsimas:
From the Editor. INFORMS J. Optim. 1(1): 1 (2019) - [j157]Dimitris Bertsimas
, Jack Dunn
, Colin Pawlowski
, Ying Daisy Zhuo
:
Robust Classification. INFORMS J. Optim. 1(1): 2-34 (2019) - [j156]Dimitris Bertsimas
:
Machine Learning and Optimization: Introduction to the Special Issue. INFORMS J. Optim. 1(2): 91 (2019) - [j155]Dimitris Bertsimas
, Jack Dunn
, Nishanth Mundru
:
Optimal Prescriptive Trees. INFORMS J. Optim. 1(2): 164-183 (2019) - [j154]Dimitris Bertsimas
:
Machine Learning and Optimization: Introduction to the Special Issue. INFORMS J. Optim. 1(3): 185-186 (2019) - [j153]Dimitris Bertsimas
, Nikita Korolko
, Alexander M. Weinstein
:
Identifying Exceptional Responders in Randomized Trials: An Optimization Approach. INFORMS J. Optim. 1(3): 187-199 (2019) - [j152]Hari Bandi
, Dimitris Bertsimas
, Rahul Mazumder
:
Learning a Mixture of Gaussians via Mixed-Integer Optimization. INFORMS J. Optim. 1(3): 221-240 (2019) - [j151]Dimitris Bertsimas
:
Introduction to the Issue. INFORMS J. Optim. 1(4): 265-266 (2019) - [j150]Dimitris Bertsimas
, Patrick Jaillet
, Sébastien Martin
:
Online Vehicle Routing: The Edge of Optimization in Large-Scale Applications. Oper. Res. 67(1): 143-162 (2019) - [j149]Dimitris Bertsimas
, Arthur Delarue
, Patrick Jaillet
, Sébastien Martin
:
Travel Time Estimation in the Age of Big Data. Oper. Res. 67(2): 498-515 (2019) - [j148]Dimitris Bertsimas
, Velibor V. Misic
:
Exact First-Choice Product Line Optimization. Oper. Res. 67(3): 651-670 (2019) - [j147]Dimitris Bertsimas
, Nikita Korolko
, Alexander M. Weinstein
:
Covariate-Adaptive Optimization in Online Clinical Trials. Oper. Res. 67(4): 1150-1161 (2019) - [j146]Dimitris Bertsimas
, Melvyn Sim
, Meilin Zhang:
Adaptive Distributionally Robust Optimization. Manag. Sci. 65(2): 604-618 (2019) - [j145]Lauren Berk
, Dimitris Bertsimas
:
Certifiably optimal sparse principal component analysis. Math. Program. Comput. 11(3): 381-420 (2019) - [j144]Dimitris Bertsimas
, Arthur Delarue
, Sébastien Martin
:
Optimizing schools' start time and bus routes. Proc. Natl. Acad. Sci. USA 116(13): 5943-5948 (2019) - [j143]Dimitris Bertsimas
, Allison Chang, Velibor V. Misic
, Nishanth Mundru:
The Airlift Planning Problem. Transp. Sci. 53(3): 773-795 (2019) - [i20]Dimitris Bertsimas, Michael Lingzhi Li:
Accounting for Significance and Multicollinearity in Building Linear Regression Models. CoRR abs/1902.03272 (2019) - [i19]Dimitris Bertsimas, Christopher McCord:
From Predictions to Prescriptions in Multistage Optimization Problems. CoRR abs/1904.11637 (2019) - [i18]Dimitris Bertsimas, Jourdain B. Lamperski, Jean Pauphilet:
Certifiably Optimal Sparse Inverse Covariance Estimation. CoRR abs/1906.10283 (2019) - [i17]Dimitris Bertsimas, Ryan Cory-Wright
, Jean Pauphilet:
A unified approach to mixed-integer optimization: Nonlinear formulations and scalable algorithms. CoRR abs/1907.02109 (2019) - [i16]Dimitris Bertsimas, Bartolomeo Stellato:
Online Mixed-Integer Optimization in Milliseconds. CoRR abs/1907.02206 (2019) - [i15]Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin:
The Price of Interpretability. CoRR abs/1907.03419 (2019) - [i14]Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sébastien Martin:
Optimal Explanations of Linear Models. CoRR abs/1907.04669 (2019) - [i13]Dimitris Bertsimas, Christopher McCord, Bradley Sturt
:
Dynamic optimization with side information. CoRR abs/1907.07307 (2019) - [i12]Dimitris Bertsimas, Ryan Cory-Wright:
On Polyhedral and Second-Order-Cone Decompositions of Semidefinite Optimization Problems. CoRR abs/1910.03143 (2019) - [i11]Dimitris Bertsimas, Agni Orfanoudaki
, Rory B. Weiner:
Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach. CoRR abs/1910.08483 (2019) - [i10]Dimitris Bertsimas, Michael Lingzhi Li:
Fast Exact Matrix Completion: A Unifying Optimization Framework. CoRR abs/1910.09092 (2019) - 2018
- [j142]Dimitris Bertsimas
, Martin S. Copenhaver
:
Characterization of the equivalence of robustification and regularization in linear and matrix regression. Eur. J. Oper. Res. 270(3): 931-942 (2018) - [j141]Dimitris Bertsimas
, Vishal Gupta
, Nathan Kallus:
Data-driven robust optimization. Math. Program. 167(2): 235-292 (2018) - [j140]Dimitris Bertsimas
, Angelos Georghiou
:
Binary decision rules for multistage adaptive mixed-integer optimization. Math. Program. 167(2): 395-433 (2018) - [j139]Dimitris Bertsimas, Vishal Gupta
, Nathan Kallus
:
Robust sample average approximation. Math. Program. 171(1-2): 217-282 (2018) - [j138]Chaithanya Bandi
, Dimitris Bertsimas
, Nataly Youssef:
Robust transient analysis of multi-server queueing systems and feed-forward networks. Queueing Syst. Theory Appl. 89(3-4): 351-413 (2018) - [j137]Dimitris Bertsimas
, Zachary Saunders
, Shimrit Shtern
:
Multitarget Tracking via Mixed Integer Optimization. IEEE Trans. Autom. Control. 63(11): 3627-3642 (2018) - [j136]Dimitris Bertsimas
, Julia Yan
:
From Physical Properties of Transportation Flows to Demand Estimation: An Optimization Approach. Transp. Sci. 52(4): 1002-1011 (2018) - [c19]Dimitris Bertsimas, Christopher McCord:
Optimization over Continuous and Multi-dimensional Decisions with Observational Data. NeurIPS 2018: 2966-2974 - [i9]Dimitris Bertsimas, Christopher McCord:
Optimization over Continuous and Multi-dimensional Decisions with Observational Data. CoRR abs/1807.04183 (2018) - [i8]Dimitris Bertsimas, Agni Orfanoudaki, Colin Pawlowski:
Imputation of Clinical Covariates in Time Series. CoRR abs/1812.00418 (2018) - [i7]Dimitris Bertsimas, Agni Orfanoudaki
, Holly M. Wiberg:
Interpretable Clustering via Optimal Trees. CoRR abs/1812.00539 (2018) - [i6]Dimitris Bertsimas, Michael Lingzhi Li:
Interpretable Matrix Completion: A Discrete Optimization Approach. CoRR abs/1812.06647 (2018) - 2017
- [j135]Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta
, Mykel J. Kochenderfer
, Velibor V. Misic:
A comparison of Monte Carlo tree search and rolling horizon optimization for large-scale dynamic resource allocation problems. Eur. J. Oper. Res. 263(2): 664-678 (2017) - [j134]Dimitris Bertsimas, Velibor V. Misic:
Robust Product Line Design. Oper. Res. 65(1): 19-37 (2017) - [j133]Dimitris Bertsimas, Martin S. Copenhaver, Rahul Mazumder:
Certifiably Optimal Low Rank Factor Analysis. J. Mach. Learn. Res. 18: 29:1-29:53 (2017) - [j132]Dimitris Bertsimas, Colin Pawlowski, Ying Daisy Zhuo:
From Predictive Methods to Missing Data Imputation: An Optimization Approach. J. Mach. Learn. Res. 18: 196:1-196:39 (2017) - [j131]Dimitris Bertsimas, Jack Dunn:
Optimal classification trees. Mach. Learn. 106(7): 1039-1082 (2017) - [i5]Dimitris Bertsimas, Bart P. G. Van Parys:
Sparse Hierarchical Regression with Polynomials. CoRR abs/1709.10030 (2017) - 2016
- [j130]Dimitris Bertsimas, Iain Dunning, Miles Lubin:
Reformulation versus cutting-planes for robust optimization. Comput. Manag. Sci. 13(2): 195-217 (2016) - [j129]Dimitris Bertsimas, Frans J. C. T. de Ruiter:
Duality in Two-Stage Adaptive Linear Optimization: Faster Computation and Stronger Bounds. INFORMS J. Comput. 28(3): 500-511 (2016) - [j128]Dimitris Bertsimas, Angela King:
OR Forum - An Algorithmic Approach to Linear Regression. Oper. Res. 64(1): 2-16 (2016) - [j127]Dimitris Bertsimas, Iain Dunning:
Multistage Robust Mixed-Integer Optimization with Adaptive Partitions. Oper. Res. 64(4): 980-998 (2016) - [j126]Dimitris Bertsimas, Velibor V. Misic:
Decomposable Markov Decision Processes: A Fluid Optimization Approach. Oper. Res. 64(6): 1537-1555 (2016) - [j125]Dimitris Bertsimas, Allison O'Hair, Stephen Relyea, John Silberholz:
An Analytics Approach to Designing Combination Chemotherapy Regimens for Cancer. Manag. Sci. 62(5): 1511-1531 (2016) - [j124]Dimitris Bertsimas, Ebrahim Nasrabadi, James B. Orlin:
On the power of randomization in network interdiction. Oper. Res. Lett. 44(1): 114-120 (2016) - [j123]Dimitris Bertsimas, Shubham Gupta:
Fairness and Collaboration in Network Air Traffic Flow Management: An Optimization Approach. Transp. Sci. 50(1): 57-76 (2016) - [j122]Dimitris Bertsimas, Michael Frankovich:
Unified Optimization of Traffic Flows Through Airports. Transp. Sci. 50(1): 77-93 (2016) - 2015
- [j121]Dimitris Bertsimas, Akiko Takeda:
Optimizing over coherent risk measures and non-convexities: a robust mixed integer optimization approach. Comput. Optim. Appl. 62(3): 613-639 (2015) - [j120]Dimitris Bertsimas, Angelos Georghiou
:
Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization. Oper. Res. 63(3): 610-627 (2015) - [j119]Chaithanya Bandi
, Dimitris Bertsimas, Nataly Youssef:
Robust Queueing Theory. Oper. Res. 63(3): 676-700 (2015) - [j118]Dimitris Bertsimas, Mac Johnson, Nathan Kallus:
The Power of Optimization Over Randomization in Designing Experiments Involving Small Samples. Oper. Res. 63(4): 868-876 (2015) - [j117]Dimitris Bertsimas, Erik Brynjolfsson, Shachar Reichman
, John Silberholz:
OR Forum - Tenure Analytics: Models for Predicting Research Impact. Oper. Res. 63(6): 1246-1261 (2015) - [j116]Dimitris Bertsimas, Vineet Goyal, Brian Y. Lu:
A tight characterization of the performance of static solutions in two-stage adjustable robust linear optimization. Math. Program. 150(2): 281-319 (2015) - [j115]Dimitris Bertsimas, Hoda Bidkhori:
On the performance of affine policies for two-stage adaptive optimization: a geometric perspective. Math. Program. 153(2): 577-594 (2015) - [j114]Dimitris Bertsimas, Vishal Gupta
, Ioannis Ch. Paschalidis:
Data-driven estimation in equilibrium using inverse optimization. Math. Program. 153(2): 595-633 (2015) - [j113]Dimitris Bertsimas, Ebrahim Nasrabadi, Ioannis Ch. Paschalidis:
Robust Fluid Processing Networks. IEEE Trans. Autom. Control. 60(3): 715-728 (2015) - 2014
- [j112]Dimitris Bertsimas, Shubham Gupta, Guglielmo Lulli
:
Dynamic resource allocation: A flexible and tractable modeling framework. Eur. J. Oper. Res. 236(1): 14-26 (2014) - [j111]Chaithanya Bandi
, Dimitris Bertsimas:
Robust option pricing. Eur. J. Oper. Res. 239(3): 842-853 (2014) - [j110]Dimitris Bertsimas, Eric T. Bradlow, Noah Gans, Alok Gupta
:
Introduction to the Special Issue on Business Analytics. Manag. Sci. 60(6): 1351 (2014) - [j109]Chaithanya Bandi
, Dimitris Bertsimas:
Optimal Design for Multi-Item Auctions: A Robust Optimization Approach. Math. Oper. Res. 39(4): 1012-1038 (2014) - [i4]Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta
, Mykel J. Kochenderfer, Velibor V. Misic, Robert J. Moss:
A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation. CoRR abs/1405.5498 (2014) - [i3]Dimitris Bertsimas, Martin S. Copenhaver:
Characterization of the equivalence of robustification and regularization in linear, median, and matrix regression. CoRR abs/1411.6160 (2014) - 2013
- [j108]Dimitris Bertsimas, Valentina Cacchiani
, David Craft, Omid Nohadani:
A hybrid approach to beam angle optimization in intensity-modulated radiation therapy. Comput. Oper. Res. 40(9): 2187-2197 (2013) - [j107]Dimitris Bertsimas, Dan Andrei Iancu, Dmitriy Katz:
A New Local Search Algorithm for Binary Optimization. INFORMS J. Comput. 25(2): 208-221 (2013) - [j106]Dimitris Bertsimas, Vivek F. Farias, Nikolaos Trichakis
:
Fairness, Efficiency, and Flexibility in Organ Allocation for Kidney Transplantation. Oper. Res. 61(1): 73-87 (2013) - [j105]Dimitris Bertsimas, Allison O'Hair:
Learning Preferences Under Noise and Loss Aversion: An Optimization Approach. Oper. Res. 61(5): 1190-1199 (2013) - [j104]Dimitris Bertsimas, Ebrahim Nasrabadi, Sebastian Stiller:
Robust and Adaptive Network Flows. Oper. Res. 61(5): 1218-1242 (2013) - [j103]Dimitris Bertsimas, Vineet Goyal:
On the approximability of adjustable robust convex optimization under uncertainty. Math. Methods Oper. Res. 77(3): 323-343 (2013) - [j102]Dimitris Bertsimas, Robert M. Freund, Xu Andy Sun:
An accelerated first-order method for solving SOS relaxations of unconstrained polynomial optimization problems. Optim. Methods Softw. 28(3): 424-441 (2013) - [c18]Dimitris Bertsimas, Erik Brynjolfsson, Shachar Reichman, John Silberholz:
Network Analysis for Predicting Academic Impact. ICIS 2013 - [i2]Dimitris Bertsimas, Ebrahim Nasrabadi, James B. Orlin:
On the power of randomization in network interdiction. CoRR abs/1312.3478 (2013) - 2012
- [j101]Dimitris Bertsimas, Vishal Gupta
, Ioannis Ch. Paschalidis:
Inverse Optimization: A New Perspective on the Black-Litterman Model. Oper. Res. 60(6): 1389-1403 (2012) - [j100]Dimitris Bertsimas, Eric T. Bradlow, Noah Gans, Alok Gupta:
Call for Papers - Special Issue of Management Science: Business Analytics: Submission deadline: September 16, 2012 Expected publication date: First Quarter 2014. Manag. Sci. 58(7): 1422 (2012) - [j99]Dimitris Bertsimas, Eric T. Bradlow, Noah Gans, Alok Gupta:
Call for Papers Special Issue of Management Science: Business Analytics: Submission deadline: September 16, 2012 Expected publication date: First Quarter 2014. Manag. Sci. 58(9): 1777 (2012) - [j98]Dimitris Bertsimas, Vivek F. Farias, Nikolaos Trichakis
:
On the Efficiency-Fairness Trade-off. Manag. Sci. 58(12): 2234-2250 (2012) - [j97]Chaithanya Bandi
, Dimitris Bertsimas:
Tractable stochastic analysis in high dimensions via robust optimization. Math. Program. 134(1): 23-70 (2012) - [j96]Dimitris Bertsimas, Vineet Goyal:
On the power and limitations of affine policies in two-stage adaptive optimization. Math. Program. 134(2): 491-531 (2012) - [j95]Cynthia Barnhart
, Dimitris Bertsimas, Constantine Caramanis
, Douglas Fearing:
Equitable and Efficient Coordination in Traffic Flow Management. Transp. Sci. 46(2): 262-280 (2012) - [c17]Allison Chang, Dimitris Bertsimas, Cynthia Rudin:
An Integer Optimization Approach to Associative Classification. NIPS 2012: 269-277 - 2011
- [j94]Dimitris Bertsimas, Vivek F. Farias, Nikolaos Trichakis
:
The Price of Fairness. Oper. Res. 59(1): 17-31 (2011) - [j93]Dimitris Bertsimas, Guglielmo Lulli
, Amedeo R. Odoni:
An Integer Optimization Approach to Large-Scale Air Traffic Flow Management. Oper. Res. 59(1): 211-227 (2011) - [j92]Dimitris Bertsimas, David Gamarnik, Alexander Anatoliy Rikun:
Performance Analysis of Queueing Networks via Robust Optimization. Oper. Res. 59(2): 455-466 (2011) - [j91]Dimitris Bertsimas, Michael Frankovich, Amedeo R. Odoni:
Optimal Selection of Airport Runway Configurations. Oper. Res. 59(6): 1407-1419 (2011) - [j90]Dimitris Bertsimas, Vineet Goyal, Xu Andy Sun:
A Geometric Characterization of the Power of Finite Adaptability in Multistage Stochastic and Adaptive Optimization. Math. Oper. Res. 36(1): 24-54 (2011) - [j89]Dimitris Bertsimas, David B. Brown, Constantine Caramanis
:
Theory and Applications of Robust Optimization. SIAM Rev. 53(3): 464-501 (2011) - [j88]Dimitris Bertsimas, Dan Andrei Iancu, Pablo A. Parrilo
:
A Hierarchy of Near-Optimal Policies for Multistage Adaptive Optimization. IEEE Trans. Autom. Control. 56(12): 2809-2824 (2011) - 2010
- [j87]Dimitris Bertsimas, Xuan Vinh Doan:
Robust and data-driven approaches to call centers. Eur. J. Oper. Res. 207(2): 1072-1085 (2010) - [j86]Dimitris Bertsimas, Omid Nohadani, Kwong Meng Teo:
Nonconvex Robust Optimization for Problems with Constraints. INFORMS J. Comput. 22(1): 44-58 (2010) - [j85]Dimitris Bertsimas, Omid Nohadani, Kwong Meng Teo:
Robust Optimization for Unconstrained Simulation-Based Problems. Oper. Res. 58(1): 161-178 (2010) - [j84]Aharon Ben-Tal, Dimitris Bertsimas, David B. Brown:
A Soft Robust Model for Optimization Under Ambiguity. Oper. Res. 58(4-Part-2): 1220-1234 (2010) - [j83]Dimitris Bertsimas, Omid Nohadani:
Robust optimization with simulated annealing. J. Glob. Optim. 48(2): 323-334 (2010) - [j82]Dimitris Bertsimas, Vineet Goyal:
On the Power of Robust Solutions in Two-Stage Stochastic and Adaptive Optimization Problems. Math. Oper. Res. 35(2): 284-305 (2010) - [j81]Dimitris Bertsimas, Dan Andrei Iancu, Pablo A. Parrilo
:
Optimality of Affine Policies in Multistage Robust Optimization. Math. Oper. Res. 35(2): 363-394 (2010) - [j80]Dimitris Bertsimas, Xuan Vinh Doan, Karthik Natarajan
, Chung-Piaw Teo
:
Models for Minimax Stochastic Linear Optimization Problems with Risk Aversion. Math. Oper. Res. 35(3): 580-602 (2010) - [j79]Dimitris Bertsimas, Constantine Caramanis
:
Finite Adaptability in Multistage Linear Optimization. IEEE Trans. Autom. Control. 55(12): 2751-2766 (2010) - [i1]Dimitris Bertsimas, David B. Brown, Constantine Caramanis:
Theory and Applications of Robust Optimization. CoRR abs/1010.5445 (2010)
2000 – 2009
- 2009
- [j78]Dimitris Bertsimas, Romy Shioda:
Algorithm for cardinality-constrained quadratic optimization. Comput. Optim. Appl. 43(1): 1-22 (2009) - [j77]Dimitris Bertsimas, David B. Brown:
Constructing Uncertainty Sets for Robust Linear Optimization. Oper. Res. 57(6): 1483-1495 (2009) - [c16]Dimitris Bertsimas, Dan Andrei Iancu, Pablo A. Parrilo
:
Optimality of affine policies in multi-stage robust optimization. CDC 2009: 1131-1138 - 2008
- [j76]Dimitris Bertsimas, Dessislava Pachamanova:
Robust multiperiod portfolio management in the presence of transaction costs. Comput. Oper. Res. 35(1): 3-17 (2008) - [j75]Dimitris Bertsimas, Margrét V. Bjarnadóttir, Michael A. Kane, J. Christian Kryder, Rudra Pandey, Santosh S. Vempala, Grant Wang:
Algorithmic Prediction of Health-Care Costs. Oper. Res. 56(6): 1382-1392 (2008) - [j74]Dimitris Bertsimas, Xuan Vinh Doan, Jean B. Lasserre
:
Approximating integrals of multivariate exponentials: A moment approach. Oper. Res. Lett. 36(2): 205-210 (2008) - [c15]Dimitris Bertsimas, Guglielmo Lulli
, Amedeo R. Odoni:
The Air Traffic Flow Management Problem: An Integer Optimization Approach. IPCO 2008: 34-46 - 2007
- [j73]Dimitris Bertsimas, Romy Shioda:
Classification and Regression via Integer Optimization. Oper. Res. 55(2): 252-271 (2007) - [j72]Dimitris Bertsimas, Adam J. Mersereau:
A Learning Approach for Interactive Marketing to a Customer Segment. Oper. Res. 55(6): 1120-1135 (2007) - [j71]Dimitris Bertsimas, Karthik Natarajan
:
A semidefinite optimization approach to the steady-state analysis of queueing systems. Queueing Syst. Theory Appl. 56(1): 27-39 (2007) - [j70]Dimitris Bertsimas, David B. Brown:
Constrained Stochastic LQC: A Tractable Approach. IEEE Trans. Autom. Control. 52(10): 1826-1841 (2007) - [c14]Dimitris Bertsimas, Constantine Caramanis
:
Adaptability via sampling. CDC 2007: 4717-4722 - 2006
- [j69]Dimitris Bertsimas, Aurélie Thiele:
A Robust Optimization Approach to Inventory Theory. Oper. Res. 54(1): 150-168 (2006) - [j68]Dimitris Bertsimas, Melvyn Sim
:
Tractable Approximations to Robust Conic Optimization Problems. Math. Program. 107(1-2): 5-36 (2006) - [j67]Michele Aghassi, Dimitris Bertsimas:
Robust game theory. Math. Program. 107(1-2): 231-273 (2006) - [j66]Dimitris Bertsimas, Constantine Caramanis
:
Bounds on linear PDEs via semidefinite optimization. Math. Program. 108(1): 135-158 (2006) - [j65]Dimitris Bertsimas, Karthik Natarajan
, Chung-Piaw Teo
:
Persistence in discrete optimization under data uncertainty. Math. Program. 108(2-3): 251-274 (2006) - [j64]Michele Aghassi, Dimitris Bertsimas, Georgia Perakis:
Solving asymmetric variational inequalities via convex optimization. Oper. Res. Lett. 34(5): 481-490 (2006) - 2005
- [b3]Dimitris Bertsimas, Robert Weismantel:
Optimization over integers. Athena Scientific 2005, ISBN 978-0-97591-462-5, pp. I-X, 1-602 - [j63]Dimitris Bertsimas, Sanne de Boer:
Simulation-Based Booking Limits for Airline Revenue Management. Oper. Res. 53(1): 90-106 (2005) - [j62]Dimitris Bertsimas, Ioana Popescu:
Optimal Inequalities in Probability Theory: A Convex Optimization Approach. SIAM J. Optim. 15(3): 780-804 (2005) - 2004
- [b2]Dimitris Bertsimas, Robert M. Freund:
Data, models, and decisions - the fundamentals of management science. Dynamic Ideas 2004, ISBN 978-0-9759146-0-1, pp. I-XIX, 1-530 - [j61]Dimitris Bertsimas, Melvyn Sim
:
The Price of Robustness. Oper. Res. 52(1): 35-53 (2004) - [j60]Dimitris Bertsimas, Santosh S. Vempala:
Solving convex programs by random walks. J. ACM 51(4): 540-556 (2004) - [j59]Dimitris Bertsimas, Dessislava Pachamanova, Melvyn Sim
:
Robust linear optimization under general norms. Oper. Res. Lett. 32(6): 510-516 (2004) - [j58]Dimitris Bertsimas, Karthik Natarajan
, Chung-Piaw Teo
:
Probabilistic Combinatorial Optimization: Moments, Semidefinite Programming, and Asymptotic Bounds. SIAM J. Optim. 15(1): 185-209 (2004) - [c13]Dimitris Bertsimas, Aurélie Thiele:
A Robust Optimization Approach to Supply Chain Management. IPCO 2004: 86-100 - 2003
- [j57]Dimitris Bertsimas, Romy Shioda:
Restaurant Revenue Management. Oper. Res. 51(3): 472-486 (2003) - [j56]Dimitris Bertsimas, David Gamarnik, Jay Sethuraman:
From Fluid Relaxations to Practical Algorithms for High-Multiplicity Job-Shop Scheduling: The Holding Cost Objective. Oper. Res. 51(5): 798-813 (2003) - [j55]Dimitris Bertsimas, Melvyn Sim
:
Robust discrete optimization and network flows. Math. Program. 98(1-3): 49-71 (2003) - [j54]Dimitris Bertsimas, Ioana Popescu:
Revenue Management in a Dynamic Network Environment. Transp. Sci. 37(3): 257-277 (2003) - [c12]Dimitris Bertsimas, Adam J. Mersereau, Nitin R. Patel:
Dynamic Classification of Online Customers. SDM 2003: 107-118 - 2002
- [j53]Dimitris Bertsimas, Ioana Popescu:
On the Relation Between Option and Stock Prices: A Convex Optimization Approach. Oper. Res. 50(2): 358-374 (2002) - [j52]Dimitris Bertsimas, Ramazan Demir:
An Approximate Dynamic Programming Approach to Multidimensional Knapsack Problems. Manag. Sci. 48(4): 550-565 (2002) - [j51]Dimitris Bertsimas, Jay Sethuraman:
From fluid relaxations to practical algorithms for job shop scheduling: the makespan objective. Math. Program. 92(1): 61-102 (2002) - [c11]Dimitris Bertsimas, Santosh S. Vempala:
Solving convex programs by random walks. STOC 2002: 109-115 - 2001
- [j50]Dimitris Bertsimas, Ioannis Ch. Paschalidis:
Probabilistic Service Level Guarantees in Make-to-Stock Manufacturing Systems. Oper. Res. 49(1): 119-133 (2001) - [j49]Dimitris Bertsimas, Leonid Kogan, Andrew W. Lo:
Hedging Derivative Securities and Incomplete Markets: An Formula-Arbitrage Approach. Oper. Res. 49(3): 372-397 (2001) - [j48]Chung-Piaw Teo
, Dimitris Bertsimas:
Multistage Lot Sizing Problems via Randomized Rounding. Oper. Res. 49(4): 599-608 (2001) - 2000
- [j47]Dimitris Bertsimas, José Niño-Mora
:
Restless Bandits, Linear Programming Relaxations, and a Primal-Dual Index Heuristic. Oper. Res. 48(1): 80-90 (2000) - [j46]Dimitris Bertsimas, Sarah Stock Patterson:
The Traffic Flow Management Rerouting Problem in Air Traffic Control: A Dynamic Network Flow Approach. Transp. Sci. 34(3): 239-255 (2000) - [c10]Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis:
Performance of multiclass Markovian queueing networks. CDC 2000: 534-539
1990 – 1999
- 1999
- [j45]Dimitris Bertsimas, Andrew W. Lo, Paul Hummel:
Optimal control of execution costs for portfolios. Comput. Sci. Eng. 1(6): 40-53 (1999) - [j44]Dimitris Bertsimas, Christopher Darnell, Robert Soucy:
Portfolio Construction Through Mixed-Integer Programming at Grantham, Mayo, Van Otterloo and Company. Interfaces 29(1): 49-66 (1999) - [j43]Dimitris Bertsimas, Thalia Chryssikou:
Bounds and Policies for Dynamic Routing in Loss Networks. Oper. Res. 47(3): 379-394 (1999) - [j42]Dimitris Bertsimas, David Gamarnik:
Asymptotically Optimal Algorithms for Job Shop Scheduling and Packet Routing. J. Algorithms 33(2): 296-318 (1999) - [j41]Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis:
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach. Mach. Learn. 35(3): 225-245 (1999) - [j40]Dimitris Bertsimas, Chung-Piaw Teo
, Rakesh Vohra:
Analysis of LP relaxations for multiway and multicut problems. Networks 34(2): 102-114 (1999) - [j39]Dimitris Bertsimas, Chung-Piaw Teo
, Rakesh Vohra:
On dependent randomized rounding algorithms. Oper. Res. Lett. 24(3): 105-114 (1999) - [j38]Dimitris Bertsimas, Georgia Mourtzinou:
Decomposition results for general polling systems and their applications. Queueing Syst. Theory Appl. 31(3-4): 295-316 (1999) - [j37]Dimitris Bertsimas, Ioannis Ch. Paschalidis, John N. Tsitsiklis:
Large deviations analysis of the generalized processor sharing policy. Queueing Syst. Theory Appl. 32(4): 319-349 (1999) - [j36]Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis:
Performance analysis of multiclass queueing networks. SIGMETRICS Perform. Evaluation Rev. 27(3): 11-14 (1999) - 1998
- [j35]Dimitris Bertsimas, Sarah Stock Patterson:
The Air Traffic Flow Management Problem with Enroute Capacities. Oper. Res. 46(3): 406-422 (1998) - [j34]Dimitris Bertsimas, Chung-Piaw Teo
:
From Valid Inequalities to Heuristics: A Unified View of Primal-Dual Approximation Algorithms in Covering Problems. Oper. Res. 46(4): 503-514 (1998) - [j33]Dimitris Bertsimas, Rakesh V. Vohra:
Rounding algorithms for covering problems. Math. Program. 80: 63-89 (1998) - [j32]Dimitris Bertsimas, Ioannis Ch. Paschalidis, John N. Tsitsiklis:
Asymptotic buffer overflow probabilities in multiclass multiplexers: an optimal control approach. IEEE Trans. Autom. Control. 43(3): 315-335 (1998) - 1997
- [b1]Dimitris Bertsimas, John N. Tsitsiklis:
Introduction to linear optimization. Athena scientific optimization and computation series 6, Athena Scientific 1997, ISBN 978-1-886529-19-9, pp. I-XV, 1-587 - [j31]Dimitris Bertsimas, Georgia Mourtzinou:
Multiclass Queueing Systems in Heavy Traffic: An Asymptotic Approach Based on Distributional and Conservation Laws. Oper. Res. 45(3): 470-487 (1997) - [j30]Dimitris Bertsimas, Xiaodong Luo:
On the worst case complexity of potential reduction algorithms for linear programming. Math. Program. 77: 321-333 (1997) - [j29]Dimitris Bertsimas, Chung-Piaw Teo:
The parsimonious property of cut covering problems and its applications. Oper. Res. Lett. 21(3): 123-132 (1997) - [j28]Dimitris Bertsimas, Georgia Mourtzinou:
Transient Laws of Non-Stationary Queueing Systems and Their Applications. Queueing Syst. Theory Appl. 25(1-4): 115-155 (1997) - [j27]Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis:
Correction to "Stability Conditions for Multiclass Fluid Queueing Networks". IEEE Trans. Autom. Control. 42(1): 128 (1997) - [c9]Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis:
Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach. COLT 1997: 314-324 - 1996
- [j26]Dimitris J. Bertsimas, David Simchi-Levi:
A New Generation of Vehicle Routing Research: Robust Algorithms, Addressing Uncertainty. Oper. Res. 44(2): 286-304 (1996) - [j25]Dimitris Bertsimas, José Niño-Mora
:
Conservation Laws, Extended Polymatroids and Multiarmed Bandit Problems; A Polyhedral Approach to Indexable Systems. Math. Oper. Res. 21(2): 257-306 (1996) - [j24]Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis:
Stability conditions for multiclass fluid queueing networks. IEEE Trans. Autom. Control. 41(11): 1618-1631 (1996) - [c8]Dimitris Bertsimas, Chung-Piaw Teo, Rakesh Vohra:
On Dependent Randomized Rounding Algorithms. IPCO 1996: 330-344 - [c7]Chung-Piaw Teo, Dimitris Bertsimas:
Improved Randomized Approximation Algorithms for Lot-Sizing Problems. IPCO 1996: 359-373 - 1995
- [j23]Dimitris Bertsimas, Daisuke Nakazato:
The Distributional Little's Law and Its Applications. Oper. Res. 43(2): 298-310 (1995) - [j22]Oded Berman, Dimitris Bertsimas, Richard C. Larson:
Locating Discretionary Service Facilities, II: Maximizing Market Size, Minimizing Inconvenience. Oper. Res. 43(4): 623-632 (1995) - [j21]Michael D. Peterson, Dimitris J. Bertsimas, Amedeo R. Odoni:
Decomposition Algorithms for Analyzing Transient Phenomena in Multiclass Queueing Networks in Air Transportation. Oper. Res. 43(6): 995-1011 (1995) - [j20]Dimitris Bertsimas:
The achievable region method in the optimal control of queueing systems; formulations, bounds and policies. Queueing Syst. Theory Appl. 21(3-4): 337-389 (1995) - [j19]Dimitris Bertsimas, Ioannis Ch. Paschalidis, John N. Tsitsiklis:
Branching bandits and Klimov's problem: achievable region and side constraints. IEEE Trans. Autom. Control. 40(12): 2063-2075 (1995) - [j18]Dimitris Bertsimas, Philippe Chervi, Michael D. Peterson:
Computational Approaches to Stochastic Vehicle Routing Problems. Transp. Sci. 29(4): 342-352 (1995) - [c6]Dimitris Bertsimas, Chung-Piaw Teo, Rakesh Vohra:
Nonlinear Formulations and Improved Randomized Approximation Algorithms for Multicut Problems. IPCO 1995: 29-39 - [c5]Dimitris Bertsimas, Chung-Piaw Teo:
From Valid Inequalities to Heuristics: A Unified View of Primal-Dual Approximation Algorithms in Covering Problems. SODA 1995: 102-111 - 1994
- [j17]Peter B. M. Vranas, Dimitris J. Bertsimas, Amedeo R. Odoni:
The Multi-Airport Ground-Holding Problem in Air Traffic Control. Oper. Res. 42(2): 249-261 (1994) - [j16]Dimitris Bertsimas, James B. Orlin
:
A technique for speeding up the solution of the Lagrangean dual. Math. Program. 63: 23-45 (1994) - [j15]Dimitris Bertsimas:
TSS Dissertation Abstracts - Abstracts for the 1993 Transportation Science Section Dissertation Prize Competition. Transp. Sci. 28(1): 82-89 (1994) - [j14]Peter B. M. Vranas, Dimitris Bertsimas, Amedeo R. Odoni:
Dynamic Ground-Holding Policies for a Network of Airports. Transp. Sci. 28(4): 275-291 (1994) - 1993
- [j13]Dimitris J. Bertsimas, Garrett J. van Ryzin:
Stochastic and Dynamic Vehicle Routing in the Euclidean Plane with Multiple Capacitated Vehicles. Oper. Res. 41(1): 60-76 (1993) - [j12]Michel X. Goemans, Dimitris Bertsimas:
Survivable networks, linear programming relaxations and the parsimonious property. Math. Program. 60: 145-166 (1993) - [c4]Florin Avram, Dimitris Bertsimas:
On a characterization of the minimum assignment and matching in the independent random model. IPCO 1993: 161-169 - [c3]Dimitris Bertsimas, José Niño-Mora:
Conservation laws, extended polymatroids and multi-armed bandit problems: a unified approach to ind exable systems. IPCO 1993: 355-384 - 1992
- [j11]Dimitris J. Bertsimas:
A Vehicle Routing Problem with Stochastic Demand. Oper. Res. 40(3): 574-585 (1992) - [j10]Dimitris J. Bertsimas, L. D. Servi:
Deducing Queueing from Transactional Data: The Queue Inference Engine, Revisited. Oper. Res. 40(Supplement-2): S217-S228 (1992) - [j9]Dimitris Bertsimas, Daisuke Nakazato:
Transient and busy period analysis of theGI/G/1 queue: The method of stages. Queueing Syst. Theory Appl. 10(3): 153-184 (1992) - [c2]Dimitris Bertsimas, James B. Orlin:
A Technique for Speeding up the Solution of the Lagrangian Dual. IPCO 1992: 435-452 - 1991
- [j8]Dimitris J. Bertsimas, Garrett J. van Ryzin:
A Stochastic and Dynamic Vehicle Routing Problem in the Euclidean Plane. Oper. Res. 39(4): 601-615 (1991) - [j7]Michel X. Goemans, Dimitris J. Bertsimas:
Probabilistic Analysis of the Held and Karp Lower Bound for the Euclidean Traveling Salesman Problem. Math. Oper. Res. 16(1): 72-89 (1991) - 1990
- [j6]Dimitris Bertsimas:
An Analytic Approach to a General Class of G/G/s Queueing Systems. Oper. Res. 38(1): 139-155 (1990) - [j5]Dimitris J. Bertsimas, Patrick Jaillet, Amedeo R. Odoni:
A Priori Optimization. Oper. Res. 38(6): 1019-1033 (1990) - [j4]Dimitris Bertsimas:
The probabilistic minimum spanning tree problem. Networks 20(3): 245-275 (1990) - [c1]Michel X. Goemans, Dimitris Bertsimas:
On the Parsimonious Property of Connectivity Problems. SODA 1990: 388-396
1980 – 1989
- 1989
- [j3]Dimitris J. Bertsimas:
Traveling Salesman Facility Location Problems. Transp. Sci. 23(3): 184-191 (1989) - 1988
- [j2]Dimitris Bertsimas:
An Exact FCFS Waiting Time Analysis for a General Class of G/G/s Queueing Systems. Queueing Syst. Theory Appl. 3(4): 305-320 (1988) - [j1]Dimitris Bertsimas, Xenophon Papaconstantinou:
On the Steady-State Solution of the M/C2(a, b)/s Queueing System. Transp. Sci. 22(2): 125-138 (1988)
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
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