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Multi-Objective Optimization of Performance and Interpretability of
  Tabular Supervised Machine Learning Models

Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models

17 July 2023
Lennart Schneider
B. Bischl
Janek Thomas
ArXivPDFHTML

Papers citing "Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models"

6 / 6 papers shown
Title
Joint Explainability-Performance Optimization With Surrogate Models for AI-Driven Edge Services
Foivos Charalampakos
Thomas Tsouparopoulos
Iordanis Koutsopoulos
41
1
0
10 Mar 2025
Position: A Call to Action for a Human-Centered AutoML Paradigm
Position: A Call to Action for a Human-Centered AutoML Paradigm
Marius Lindauer
Florian Karl
A. Klier
Julia Moosbauer
Alexander Tornede
Andreas Mueller
Frank Hutter
Matthias Feurer
Bernd Bischl
18
5
0
05 Jun 2024
Composite Feature Selection using Deep Ensembles
Composite Feature Selection using Deep Ensembles
F. Imrie
Alexander Norcliffe
Pietro Lio'
M. Schaar
23
10
0
01 Nov 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter
  Optimization
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer
Katharina Eggensperger
Matthias Feurer
André Biedenkapp
Difan Deng
C. Benjamins
Tim Ruhopf
René Sass
Frank Hutter
80
323
0
20 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and
  Open Challenges
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
B. Bischl
Martin Binder
Michel Lang
Tobias Pielok
Jakob Richter
...
Theresa Ullmann
Marc Becker
A. Boulesteix
Difan Deng
Marius Lindauer
74
268
0
13 Jul 2021
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
81
576
0
13 Mar 2020
1