activity
20202026
most citedENTMOOT: A Framework for Optimization over Ensemble Tree Models

51 citations · 83 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2026

Heilbronn's Problem in the Unit Triangle: Certified Optimal Configurations for up to

Nathan Sudermann-Merx

We study Heilbronn's triangle problem in the unit right triangle, where points are placed to maximize the smallest of the triangle areas they span. We prove a bo…

math.OC2026

From Computational Certification to Exact Coordinates: Heilbronn's Triangle Problem on the Unit Square Using Mixed-Integer Optimization

Nathan Sudermann-Merx

We develop a mixed-integer nonlinear programming (MINLP) approach for the classical Heilbronn triangle problem, demonstrating the capability of modern global optimization solvers t…

stat.ML2022★ 5 cited

Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces

Alexander Thebelt, Calvin Tsay, Robert M. Lee +4

Tree ensembles can be well-suited for black-box optimization tasks such as algorithm tuning and neural architecture search, as they achieve good predictive performance with little…

stat.ML2021★ 27 cited

Multi-Objective Constrained Optimization for Energy Applications via Tree Ensembles

Alexander Thebelt, Calvin Tsay, Robert M. Lee +4

Energy systems optimization problems are complex due to strongly non-linear system behavior and multiple competing objectives, e.g. economic gain vs. environmental impact. Moreover…

stat.ML2020★ 51 cited

ENTMOOT: A Framework for Optimization over Ensemble Tree Models

Alexander Thebelt, Jan Kronqvist, Miten Mistry +3

Gradient boosted trees and other regression tree models perform well in a wide range of real-world, industrial applications. These tree models (i) offer insight into important pred…