4 citations · 7 across the 4 of their papers we have counts for
5 papers · 1 filter
Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach
Dimitris Bertsimas, Cheol Woo Kim
We propose a machine learning approach to the optimal control of multiclass fluid queueing networks (MFQNETs) that provides explicit and insightful control policies. We prove that…
A Machine Learning Approach to Two-Stage Adaptive Robust Optimization
Dimitris Bertsimas, Cheol Woo Kim
We propose an approach based on machine learning to solve two-stage linear adaptive robust optimization (ARO) problems with binary here-and-now variables and polyhedral uncertainty…
Algorithmic Insurance
Dimitris Bertsimas, Agni Orfanoudaki
When AI systems make errors in high-stakes domains like medical diagnosis or autonomous vehicles, a single algorithmic flaw across varying operational contexts can generate highly…
Disjunctive Branch-and-Bound for Certifiably Optimal Low-Rank Matrix Completion
Dimitris Bertsimas, Ryan Cory-Wright, Sean Lo +1
Low-rank matrix completion consists of computing a matrix of minimal complexity that recovers a given set of observations as accurately as possible. Unfortunately, existing methods…
TabText: Language-Based Representations of Tabular Health Data for Predictive Modelling
Kimberly Villalobos Carballo, Liangyuan Na, Yu Ma +4
Tabular medical records remain the most readily available data format for applying machine learning in healthcare. However, traditional data preprocessing ignores valuable contextu…