Mind the Gap: Measuring Generalization Performance Across Multiple
Objectives

Mind the Gap: Measuring Generalization Performance Across Multiple Objectives

8 December 2022

Matthias Feurer

Katharina Eggensperger

Florian Pfisterer

Papers citing "Mind the Gap: Measuring Generalization Performance Across Multiple Objectives"

17 / 17 papers shown

Title
Bi-objective Ranking and Selection Using Stochastic Kriging Sebastian Rojas Gonzalez Juergen Branke I. Nieuwenhuyse 38 1 0 05 Sep 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 47 60 0 15 Jun 2022
An Empirical Study of Modular Bias Mitigators and Ensembles Michael Feffer Martin Hirzel Samuel C. Hoffman Kiran Kate Parikshit Ram Avraham Shinnar 63 8 0 01 Feb 2022
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 37 101 0 23 Nov 2021
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 64 25 0 23 Jun 2021
A Comprehensive Survey on Hardware-Aware Neural Architecture Search Hadjer Benmeziane Kaoutar El Maghraoui Hamza Ouarnoughi Smail Niar Martin Wistuba Naigang Wang 62 102 0 22 Jan 2021
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 68 78 0 20 Feb 2020
OpenML-Python: an extensible Python API for OpenML Matthias Feurer Jan N. van Rijn Arlind Kadra Pieter Gijsbers Neeratyoy Mallik Sahithya Ravi Andreas Müller Joaquin Vanschoren Frank Hutter ELM GP 52 90 0 06 Nov 2019
Constrained Multi-Objective Optimization for Automated Machine Learning Steven Gardner Oleg Golovidov J. Griffin P. Koch W. Thompson B. Wujek Yan Xu 33 14 0 14 Aug 2019
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization Joymallya Chakraborty Tianpei Xia F. M. Fahid Tim Menzies FaML 59 40 0 14 May 2019
Quantifying Model Complexity via Functional Decomposition for Better Post-Hoc Interpretability Christoph Molnar Giuseppe Casalicchio B. Bischl FAtt 41 60 0 08 Apr 2019
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning S. Raschka 105 781 0 13 Nov 2018
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 191 499 0 24 Apr 2018
Constrained Bayesian Optimization with Noisy Experiments Benjamin Letham Brian Karrer Guilherme Ottoni E. Bakshy 45 302 0 21 Jun 2017
A General Framework for Constrained Bayesian Optimization using Information-based Search José Miguel Hernández-Lobato M. Gelbart Ryan P. Adams Matthew W. Hoffman Zoubin Ghahramani 45 165 0 30 Nov 2015
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 144 1,321 0 29 Jul 2014
Bayesian Optimization with Unknown Constraints M. Gelbart Jasper Snoek Ryan P. Adams 73 449 0 22 Mar 2014