Automatic Exploration of Machine Learning Experiments on OpenML

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Automatic Exploration of Machine Learning Experiments on OpenML

28 June 2018

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Papers citing "Automatic Exploration of Machine Learning Experiments on OpenML"

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Title
Assembled-OpenML: Creating Efficient Benchmarks for Ensembles in AutoML with OpenML Lennart Purucker Joeran Beel MoE 65 8 0 01 Jul 2023
Lifelong Bandit Optimization: No Prior and No Regret Felix Schur Parnian Kassraie Jonas Rothfuss Andreas Krause 97 3 0 27 Oct 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 117 6 0 01 Feb 2022
Transfer Learning with Gaussian Processes for Bayesian Optimization Petru Tighineanu Kathrin Skubch P. Baireuther Attila Reiss Felix Berkenkamp Julia Vinogradska 62 33 0 22 Nov 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 243 104 0 14 Sep 2021
HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML Sebastian Pineda Arango H. Jomaa Martin Wistuba Josif Grabocka 98 61 0 11 Jun 2021
Meta-Learning for Symbolic Hyperparameter Defaults Pieter Gijsbers Florian Pfisterer Jan N. van Rijn B. Bischl Joaquin Vanschoren 72 9 0 10 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 84 28 0 06 Jun 2021
Hyperparameter Transfer Across Developer Adjustments Daniel Stoll Jörg Franke Diane Wagner Simon Selg Frank Hutter 87 12 0 25 Oct 2020
MementoML: Performance of selected machine learning algorithm configurations on OpenML100 datasets Wojciech Kretowicz P. Biecek 48 3 0 30 Aug 2020
Towards Assessing the Impact of Bayesian Optimization's Own Hyperparameters Marius Lindauer Matthias Feurer Katharina Eggensperger André Biedenkapp Frank Hutter 129 18 0 19 Aug 2019
Tunability: Importance of Hyperparameters of Machine Learning Algorithms Philipp Probst B. Bischl A. Boulesteix 130 626 0 26 Feb 2018
Practical Transfer Learning for Bayesian Optimization Matthias Feurer Benjamin Letham Frank Hutter E. Bakshy 142 35 0 06 Feb 2018