Alexander Thebelt

According to our database, Alexander Thebelt authored at least 6 papers between 2021 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Maximizing information from chemical engineering data sets: Applications to machine learning.

Alexander Thebelt, Johannes Wiebe, Jan Kronqvist, Calvin Tsay, Ruth Misener

CoRR, 2022

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

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

Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks.

Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021