Dimitris Bertsimas

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 166

Top Venues

Publications

Dimitris Bertsimas, Cynthia Zeng
Catastrophe Insurance: An Adaptive Robust Optimization Approach. CoRR (2024)
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)
Dimitris Bertsimas, Thodoris Koukouvinos
Robust linear algebra. Eur. J. Oper. Res. 314 (3) (2024)
Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
Adaptive Optimization for Prediction with Missing Data. CoRR (2024)
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)
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 (2024)
Dimitris Bertsimas, Nicholas A. G. Johnson
Compressed sensing: a discrete optimization approach. Mach. Learn. 113 (9) (2024)
Dimitris Bertsimas, Nicholas A. G. Johnson
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM. CoRR (2024)
Dimitris Bertsimas, Kimberly Villalobos Carballo, Léonard Boussioux, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
Holistic deep learning. Mach. Learn. 113 (1) (2024)
Dimitris Bertsimas, Matthew Peroni
Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning. CoRR (2024)
Vassilis Digalakis Jr., Yu Ma, Phevos Paschalidis, Dimitris Bertsimas
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences. CoRR (2024)
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) (2024)
Dimitris Bertsimas, Jean Pauphilet
Hospital-Wide Inpatient Flow Optimization. Manag. Sci. 70 (7) (2024)
Dimitris Bertsimas, Yu Ma
M3H: Multimodal Multitask Machine Learning for Healthcare. CoRR (2024)
Dimitris Bertsimas, Cheol Woo Kim
A Prescriptive Machine Learning Approach to Mixed-Integer Convex Optimization. INFORMS J. Comput. 35 (6) (2023)
Cynthia Zeng, Dimitris Bertsimas
Global Flood Prediction: a Multimodal Machine Learning Approach. CoRR (2023)
Dimitris Bertsimas, Angelos G. Koulouras, Georgios Antonios Margonis
The R.O.A.D. to precision medicine. CoRR (2023)
Dimitris Bertsimas, Christopher McCord, Bradley Sturt
Dynamic optimization with side information. Eur. J. Oper. Res. 304 (2) (2023)
Dimitris Bertsimas, Omar Skali Lami
Holistic Prescriptive Analytics for Continuous and Constrained Optimization Problems. INFORMS J. Optim. 5 (2) (2023)
Dimitris Bertsimas, Yu Ma
Robust Regression over Averaged Uncertainty. CoRR (2023)
Dimitris Bertsimas, Ryan Cory-Wright, Sean Lo, Jean Pauphilet
Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions. CoRR (2023)
Dimitris Bertsimas, Cheol Woo Kim
A Machine Learning Approach to Two-Stage Adaptive Robust Optimization. CoRR (2023)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
A new perspective on low-rank optimization. Math. Program. 202 (1) (2023)
Dimitris Bertsimas, Shimrit Shtern, Bradley Sturt
A Data-Driven Approach to Multistage Stochastic Linear Optimization. Manag. Sci. 69 (1) (2023)
Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet, Jianzhe Zhen
Robust convex optimization: A new perspective that unifies and extends. Math. Program. 200 (2) (2023)
Dimitris Bertsimas, Arthur Delarue
Policy Analytics in Public School Operations. Oper. Res. 71 (1) (2023)
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) (2023)
Dimitris Bertsimas, Nicholas A. G. Johnson
Compressed Sensing: A Discrete Optimization Approach. CoRR (2023)
Dimitris Bertsimas, Léonard Boussioux
Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach. CoRR (2023)
Dimitris Bertsimas, Léonard Boussioux, Cynthia Zeng
Reducing Air Pollution through Machine Learning. CoRR (2023)
Wes Gurnee, Neel Nanda, Matthew Pauly, Katherine Harvey, Dmitrii Troitskii, Dimitris Bertsimas
Finding Neurons in a Haystack: Case Studies with Sparse Probing. CoRR (2023)
Dimitris Bertsimas, Kimberly Villalobos Carballo
Multistage Stochastic Optimization via Kernels. CoRR (2023)
Dimitris Bertsimas, Georgios Margaritis
Global Optimization: A Machine Learning Approach. CoRR (2023)
Dimitris Bertsimas, Colin Pawlowski
Tensor completion with noisy side information. Mach. Learn. 112 (10) (2023)
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)
Dimitris Bertsimas, Cheol Woo Kim
Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach. CoRR (2023)
Dimitris Bertsimas, Michael Lingzhi Li
Interpretable Matrix Completion: A Discrete Optimization Approach. INFORMS J. Comput. 35 (5) (2023)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
Publisher Correction to: A new perspective on low-rank optimization. Math. Program. 202 (1) (2023)
Dimitris Bertsimas, Nishanth Mundru
Optimization-Based Scenario Reduction for Data-Driven Two-Stage Stochastic Optimization. Oper. Res. 71 (4) (2023)
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) (2023)
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) (2023)
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 (2023)
Dimitris Bertsimas, Driss Lahlou Kitane
Sparse PCA: a Geometric Approach. J. Mach. Learn. Res. 24 (2023)
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) (2023)
Dimitris Bertsimas, Vassilis Digalakis Jr.
Improving Stability in Decision Tree Models. CoRR (2023)
Dimitris Bertsimas, Vassilis Digalakis
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Dimitris Bertsimas, Shimrit Shtern, Bradley Sturt
Technical Note - Two-Stage Sample Robust Optimization. Oper. Res. 70 (1) (2022)
Dimitris Bertsimas, Jack Dunn, Lea Kapelevich, Rebecca Zhang
Sparse regression over clusters: SparClur. Optim. Lett. 16 (2) (2022)
Dimitris Bertsimas, Predrag V. Klasnja, Susan A. Murphy, Liangyuan Na
Data-driven Interpretable Policy Construction for Personalized Mobile Health. ICDH (2022)
Dimitris Bertsimas, Alex Paskov
World-class interpretable poker. Mach. Learn. 111 (8) (2022)
Dimitris Bertsimas, Ryan Cory-Wright
A Scalable Algorithm for Sparse Portfolio Selection. INFORMS J. Comput. 34 (3) (2022)
Dimitris Bertsimas, Kosuke Imai, Michael Lingzhi Li
Distributionally Robust Causal Inference with Observational Data. CoRR (2022)
Dimitris Bertsimas, Bart P. G. Van Parys
Bootstrap robust prescriptive analytics. Math. Program. 195 (1) (2022)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints. Oper. Res. 70 (6) (2022)
Dimitris Bertsimas, Vassilis Digalakis
The backbone method for ultra-high dimensional sparse machine learning. Mach. Learn. 111 (6) (2022)
Dimitris Bertsimas, Jack Dunn, Emma Gibson, Agni Orfanoudaki
Optimal survival trees. Mach. Learn. 111 (8) (2022)
Dimitris Bertsimas, Nihal Koduri
Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach. Oper. Res. 70 (1) (2022)
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 (2022)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
Solving Large-Scale Sparse PCA to Certifiable (Near) Optimality. J. Mach. Learn. Res. 23 (2022)
Dimitris Bertsimas, Vassilis Digalakis
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme (Extended Abstract). ICDE (2022)
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) (2022)
Dimitris Bertsimas, Jack Dunn, Ivan S. Paskov
Stable Classification. J. Mach. Learn. Res. 23 (2022)
Dimitris Bertsimas, Bartolomeo Stellato
Online Mixed-Integer Optimization in Milliseconds. INFORMS J. Comput. 34 (4) (2022)
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 (2022)
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)
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) (2022)
Dimitris Bertsimas, Michael Lingzhi Li
Stochastic Cutting Planes for Data-Driven Optimization. INFORMS J. Comput. 34 (5) (2022)
Dimitris Bertsimas, Wes Gurnee
Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization. CoRR (2022)
Cynthia Barnhart, Dimitris Bertsimas, Arthur Delarue, Julia Yan
Course Scheduling Under Sudden Scarcity: Applications to Pandemic Planning. Manuf. Serv. Oper. Manag. 24 (2) (2022)
Dimitris Bertsimas, Agni Orfanoudaki
Pricing Algorithmic Insurance. CoRR (2021)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
A Unified Approach to Mixed-Integer Optimization Problems With Logical Constraints. SIAM J. Optim. 31 (3) (2021)
Dimitris Bertsimas, Luca Mingardi, Bartolomeo Stellato
Machine Learning for Real-Time Heart Disease Prediction. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Dimitris Bertsimas, Xavier Boix, Kimberly Villalobos Carballo, Dick den Hertog
A Robust Optimization Approach to Deep Learning. CoRR (2021)
Dimitris Bertsimas, Léonard Boussioux, Kimberly Villalobos Carballo, Michael Lingzhi Li, Alex Paskov, Ivan S. Paskov
Holistic Deep Learning. CoRR (2021)
Dimitris Bertsimas, Ryan Cory-Wright, Nicholas A. G. Johnson
Sparse Plus Low Rank Matrix Decomposition: A Discrete Optimization Approach. CoRR (2021)
Donato Maragno, Holly M. Wiberg, Dimitris Bertsimas, S. Ilker Birbil, Dick den Hertog, Adejuyigbe O. Fajemisin
Mixed-Integer Optimization with Constraint Learning. CoRR (2021)
Dimitris Bertsimas, Nishanth Mundru
Sparse Convex Regression. INFORMS J. Comput. 33 (1) (2021)
Dimitris Bertsimas, Ryan Cory-Wright, Jean Pauphilet
A new perspective on low-rank optimization. CoRR (2021)
Dimitris Bertsimas, Dick den Hertog, Jean Pauphilet
Probabilistic Guarantees in Robust Optimization. SIAM J. Optim. 31 (4) (2021)
Hari Bandi, Dimitris Bertsimas
The Price of Diversity. CoRR (2021)
Dimitris Bertsimas, Vassilis Digalakis Jr., Michael Lingzhi Li, Omar Skali Lami
Slowly Varying Regression under Sparsity. CoRR (2021)
Dimitris Bertsimas, Bartolomeo Stellato
The voice of optimization. Mach. Learn. 110 (2) (2021)
Dimitris Bertsimas, Jean Pauphilet, Bart P. G. Van Parys
Sparse classification: a scalable discrete optimization perspective. Mach. Learn. 110 (11) (2021)
Dimitris Bertsimas, Yee Sian Ng, Julia Yan
Data-Driven Transit Network Design at Scale. Oper. Res. 69 (4) (2021)
Dimitris Bertsimas, Agni Orfanoudaki, Colin Pawlowski
Imputation of clinical covariates in time series. Mach. Learn. 110 (1) (2021)
Dimitris Bertsimas, Agni Orfanoudaki, Holly M. Wiberg
Interpretable clustering: an optimization approach. Mach. Learn. 110 (1) (2021)
Dimitris Bertsimas, Jack Dunn, Yuchen Wang
Near-optimal Nonlinear Regression Trees. Oper. Res. Lett. 49 (2) (2021)
Dimitris Bertsimas, Arthur Delarue, Jean Pauphilet
Prediction with Missing Data. CoRR (2021)
Dimitris Bertsimas, Vassilis Digalakis Jr.
The Backbone Method for Ultra-High Dimensional Sparse Machine Learning. CoRR (2020)
Dimitris Bertsimas, Jack Dunn, Emma Gibson, Agni Orfanoudaki
Optimal Survival Trees. CoRR (2020)
Abhishek Cauligi, Preston Culbertson, Bartolomeo Stellato, Dimitris Bertsimas, Mac Schwager, Marco Pavone
Learning Mixed-Integer Convex Optimization Strategies for Robot Planning and Control. CoRR (2020)
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)
Dimitris Bertsimas, Yeesian Ng, Julia Yan
Joint Frequency-Setting and Pricing Optimization on Multimodal Transit Networks at Scale. Transp. Sci. 54 (3) (2020)
Léonard Boussioux, Cynthia Zeng, Théo Guénais, Dimitris Bertsimas
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework. CoRR (2020)
Dimitris Bertsimas, Bradley Sturt
Computation of Exact Bootstrap Confidence Intervals: Complexity and Deterministic Algorithms. Oper. Res. 68 (3) (2020)
Dimitris Bertsimas, Nataly Youssef
Stochastic optimization in supply chain networks: averaging robust solutions. Optim. Lett. 14 (4) (2020)
Dimitris Bertsimas, Michael Lingzhi Li
Scalable holistic linear regression. Oper. Res. Lett. 48 (3) (2020)
Dimitris Bertsimas, Iain Dunning
Relative Robust and Adaptive Optimization. INFORMS J. Comput. 32 (2) (2020)
Dimitris Bertsimas, Ryan Cory-Wright
On polyhedral and second-order cone decompositions of semidefinite optimization problems. Oper. Res. Lett. 48 (1) (2020)
Dimitris Bertsimas, Vassilis Digalakis Jr.
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dimitris Bertsimas