Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks. - Calvin Tsay; Jan Kronqvist; Alexander Thebelt; Ruth Misener (NeurIPS, 2021)

ENTMOOT: A framework for optimization over ensemble tree models. - Alexander Thebelt; Jan Kronqvist; Miten Mistry; Robert M. Lee; Nathan Sudermann-Merx; Ruth Misener (Comput. Chem. Eng., 2021)

Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles. - Alexander Thebelt; Calvin Tsay; Robert M. Lee; Nathan Sudermann-Merx; David Walz; Tom Tranter; Ruth Misener (CoRR, 2021)

Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces. - Alexander Thebelt; Calvin Tsay; Robert M. Lee; Nathan Sudermann-Merx; David Walz; Behrang Shafei; Ruth Misener (NeurIPS, 2022)

Maximizing information from chemical engineering data sets: Applications to machine learning. - Alexander Thebelt; Johannes Wiebe; Jan Kronqvist; Calvin Tsay; Ruth Misener (CoRR, 2022)

OMLT: Optimization & Machine Learning Toolkit. - Francesco Ceccon; Jordan Jalving; Joshua Haddad; Alexander Thebelt; Calvin Tsay; Carl D. Laird; Ruth Misener (J. Mach. Learn. Res., 2022)