30 citations · 101 across the 13 of their papers we have counts for
10 papers · 1 filter
On Polyhedral and Second-Order Cone Decompositions of Semidefinite Optimization Problems
Dimitris Bertsimas, Ryan Cory-Wright
We study a cutting-plane method for semidefinite optimization problems (SDOs), and supply a proof of the method's convergence, under a boundedness assumption. By relating the metho…
Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach
Dimitris Bertsimas, Agni Orfanoudaki, Rory B. Weiner
Current clinical practice guidelines for managing Coronary Artery Disease (CAD) account for general cardiovascular risk factors. However, they do not present a framework that consi…
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion
Dimitris Bertsimas, Michael Lingzhi Li
We formulate the problem of matrix completion with and without side information as a non-convex optimization problem. We design fastImpute based on non-convex gradient descent and…
Optimal Explanations of Linear Models
Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet +1
When predictive models are used to support complex and important decisions, the ability to explain a model's reasoning can increase trust, expose hidden biases, and reduce vulnerab…
The Price of Interpretability
Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet +1
When quantitative models are used to support decision-making on complex and important topics, understanding a model's ``reasoning'' can increase trust in its predictions, expose hi…
Dynamic optimization with side information
Dimitris Bertsimas, Christopher McCord, Bradley Sturt
We develop a tractable and flexible approach for incorporating side information into dynamic optimization under uncertainty. The proposed framework uses predictive machine learning…