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07/02/2022
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Tree ensembles can be well-suited for black-box optimization tasks such ...
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02/04/2022
OMLT: Optimization Machine Learning Toolkit
The optimization and machine learning toolkit (OMLT) is an open-source s...
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01/25/2022
Maximizing information from chemical engineering data sets: Applications to machine learning
It is well-documented how artificial intelligence can have (and already ...
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11/04/2021
Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles
Energy systems optimization problems are complex due to strongly non-lin...
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02/08/2021
Partition-based formulations for mixed-integer optimization of trained ReLU neural networks
This paper introduces a class of mixed-integer formulations for trained ...
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03/10/2020