30 citations · 101 across the 13 of their papers we have counts for
6 papers · 1 filter
Interpretable Clustering via Optimal Trees
Dimitris Bertsimas, Agni Orfanoudaki, Holly Wiberg
State-of-the-art clustering algorithms use heuristics to partition the feature space and provide little insight into the rationale for cluster membership, limiting their interpreta…
Imputation of Clinical Covariates in Time Series
Dimitris Bertsimas, Agni Orfanoudaki, Colin Pawlowski
Missing data is a common problem in real-world settings and particularly relevant in healthcare applications where researchers use Electronic Health Records (EHR) and results of ob…
The Voice of Optimization
Dimitris Bertsimas, Bartolomeo Stellato
We introduce the idea that using optimal classification trees (OCTs) and optimal classification trees with-hyperplanes (OCT-Hs), interpretable machine learning algorithms developed…
Interpretable Matrix Completion: A Discrete Optimization Approach
Dimitris Bertsimas, Michael Lingzhi Li
We consider the problem of matrix completion on an matrix. We introduce the problem of Interpretable Matrix Completion that aims to provide meaningful insights for the…
A Scalable Algorithm for Two-Stage Adaptive Linear Optimization
Dimitris Bertsimas, Shimrit Shtern
The column-and-constraint generation (CCG) method was introduced by \citet{Zeng2013} for solving two-stage adaptive optimization. We found that the CCG method is quite scalable, bu…
Optimization over Continuous and Multi-dimensional Decisions with Observational Data
Dimitris Bertsimas, Christopher McCord
We consider the optimization of an uncertain objective over continuous and multi-dimensional decision spaces in problems in which we are only provided with observational data. We p…