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Dimitris Bertsimas
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Articles
9
From Data to Uncertainty Sets: a Machine Learning Approach
4 March 2025 by
Dimitris Bertsimas
and
Benjamin Boucher
Machine Learning
,
Optimization and Control
Adaptive Optimization for Prediction with Missing Data
24 February 2025 by
Dimitris Bertsimas
and
others
Machine Learning
Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach
6 February 2025 by
Dimitris Bertsimas
and
others
Machine Learning
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences
4 February 2025 by
Dimitris Bertsimas
and
others
Machine Learning
,
Artificial Intelligence
Multimodal Prescriptive Deep Learning
24 January 2025 by
Dimitris Bertsimas
and
others
Machine Learning
Robust and Adaptive Optimization under a Large Language Model Lens
31 December 2024 by
Dimitris Bertsimas
and
Georgios Margaritis
Optimization and Control
The R.O.A.D. to clinical trial emulation
4 December 2024 by
Dimitris Bertsimas
and
others
Applications
,
Methodology
The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization
29 October 2024 by
Dimitris Bertsimas
and
others
Optimization and Control
Deep Trees for (Un)structured Data: Tractability, Performance, and Interpretability
28 October 2024 by
Dimitris Bertsimas
and
others
Machine Learning
Binary Classification: Is Boosting stronger than Bagging?
24 October 2024 by
Dimitris Bertsimas
and
Vasiliki Stoumpou
Machine Learning
Robust Regression over Averaged Uncertainty
9 October 2024 by
Dimitris Bertsimas
and
Yu Ma
Machine Learning
,
Optimization and Control
Predictive Low Rank Matrix Learning under Partial Observations: Mixed-Projection ADMM
2 October 2024 by
Dimitris Bertsimas
and
Nicholas A. G. Johnson
at
MIT
Machine Learning
Compressed Sensing: A Discrete Optimization Approach
12 July 2024 by
Dimitris Bertsimas
and
Nicholas A. G. Johnson
at
MIT
Signal Processing
,
Machine Learning
Policy Trees for Prediction: Interpretable and Adaptive Model Selection for Machine Learning
30 May 2024 by
Dimitris Bertsimas
and
Matthew Peroni
Machine Learning
Catastrophe Insurance: An Adaptive Robust Optimization Approach
11 May 2024 by
Dimitris Bertsimas
and
Cynthia Zeng
Optimization and Control
,
Machine Learning
M3H: Multimodal Multitask Machine Learning for Healthcare
29 April 2024 by
Dimitris Bertsimas
and
Yu Ma
Machine Learning
,
Artificial Intelligence
A Stochastic Benders Decomposition Scheme for Large-Scale Stochastic Network Design
29 April 2024 by
Dimitris Bertsimas
and
others
Optimization and Control
Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance
2 February 2024 by
Dimitris Bertsimas
and
others
Machine Learning
Optimal Low-Rank Matrix Completion: Semidefinite Relaxations and Eigenvector Disjunctions
26 January 2024 by
Dimitris Bertsimas
and
others
at
MIT
Machine Learning
,
Optimization and Control
Universal Neurons in GPT2 Language Models
22 January 2024 by
Wes Gurnee
and
others
at
MIT
Machine Learning
,
Artificial Intelligence
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