2 citations · 2 across the 2 of their papers we have counts for
3 papers
math.OC2023
Tight Mixed-Integer Optimization Formulations for Prescriptive Trees
Max Biggs, Georgia Perakis
We focus on modeling the relationship between an input feature vector and the predicted outcome of a trained decision tree using mixed-integer optimization. This can be used in man…
math.OC2022★ 2 cited
Optimizing Objective Functions from Trained ReLU Neural Networks via Sampling
Georgia Perakis, Asterios Tsiourvas
This paper introduces scalable, sampling-based algorithms that optimize trained neural networks with ReLU activations. We first propose an iterative algorithm that takes advantage…
econ.GN2019
Data Analytics in Operations Management: A Review
Velibor V. Mišić, Georgia Perakis
Research in operations management has traditionally focused on models for understanding, mostly at a strategic level, how firms should operate. Spurred by the growing availability…