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ENTMOOT: A Framework for Optimization over Ensemble Tree Models
v1v2v3 (latest)

ENTMOOT: A Framework for Optimization over Ensemble Tree Models

Computers and Chemical Engineering (CCE), 2020
10 March 2020
Alexander Thebelt
Jan Kronqvist
Miten Mistry
Robert M. Lee
Nathan Sudermann-Merx
Ruth Misener
ArXiv (abs)PDFHTML

Papers citing "ENTMOOT: A Framework for Optimization over Ensemble Tree Models"

12 / 12 papers shown
Global optimization of graph acquisition functions for neural architecture search
Global optimization of graph acquisition functions for neural architecture search
Yilin Xie
Shiqiang Zhang
Jixiang Qing
Ruth Misener
Calvin Tsay
277
3
0
29 May 2025
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne
Jose Pablo Folch
Robert M. Lee
B. Shafei
Ruth Misener
GP
421
3
0
07 Mar 2025
BoFire: Bayesian Optimization Framework Intended for Real Experiments
BoFire: Bayesian Optimization Framework Intended for Real Experiments
Johannes P. Dürholt
Thomas S Asche
Johanna Kleinekorte
Gabriel Mancino-Ball
Benjamin Schiller
...
Robert M. Lee
Dominik Linzner
David Walz
Niklas Wulkow
B. Shafei
AI4CE
249
8
0
09 Aug 2024
PySCIPOpt-ML: Embedding Trained Machine Learning Models into
  Mixed-Integer Programs
PySCIPOpt-ML: Embedding Trained Machine Learning Models into Mixed-Integer ProgramsIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2023
Mark Turner
Antonia Chmiela
Thorsten Koch
Michael Winkler
AI4CE
302
15
0
13 Dec 2023
Happy People -- Image Synthesis as Black-Box Optimization Problem in the
  Discrete Latent Space of Deep Generative Models
Happy People -- Image Synthesis as Black-Box Optimization Problem in the Discrete Latent Space of Deep Generative Models
Steffen Jung
Jan Christian Schwedhelm
C. Schillings
Margret Keuper
244
1
0
11 Jun 2023
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian
  Optimization
Combining Multi-Fidelity Modelling and Asynchronous Batch Bayesian OptimizationComputers and Chemical Engineering (CCE), 2022
Jose Pablo Folch
Robert M. Lee
B. Shafei
David Walz
Calvin Tsay
Mark van der Wilk
Ruth Misener
340
35
0
11 Nov 2022
Tree ensemble kernels for Bayesian optimization with known constraints
  over mixed-feature spaces
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spacesNeural Information Processing Systems (NeurIPS), 2022
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
B. Shafei
Ruth Misener
UQCVBDL
387
13
0
02 Jul 2022
OMLT: Optimization & Machine Learning Toolkit
OMLT: Optimization & Machine Learning ToolkitJournal of machine learning research (JMLR), 2022
Francesco Ceccon
Jordan Jalving
Joshua Haddad
Alexander Thebelt
Calvin Tsay
C. Laird
Ruth Misener
315
106
0
04 Feb 2022
Maximizing information from chemical engineering data sets: Applications
  to machine learning
Maximizing information from chemical engineering data sets: Applications to machine learning
Alexander Thebelt
Johannes Wiebe
Jan Kronqvist
Calvin Tsay
Ruth Misener
AI4CE
405
92
0
25 Jan 2022
Optimizing over an ensemble of neural networks
Optimizing over an ensemble of neural networks
Keliang Wang
Leonardo Lozano
C. Cardonha
David Bergman
UQCV
282
1
0
13 Dec 2021
Multi-Objective Constrained Optimization for Energy Applications via
  Tree Ensembles
Multi-Objective Constrained Optimization for Energy Applications via Tree EnsemblesApplied Energy (Appl. Energy), 2021
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
T. Tranter
Ruth Misener
AI4CE
178
36
0
04 Nov 2021
Golem: An algorithm for robust experiment and process optimization
Golem: An algorithm for robust experiment and process optimizationChemical Science (Chem. Sci.), 2021
Matteo Aldeghi
Florian Hase
Riley J. Hickman
Isaac Tamblyn
Alán Aspuru-Guzik
363
25
0
05 Mar 2021
1
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