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Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

8 July 2020
Matthias Feurer
Katharina Eggensperger
Stefan Falkner
Marius Lindauer
Frank Hutter
ArXivPDFHTML

Papers citing "Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning"

5 / 105 papers shown
Title
Generative and reproducible benchmarks for comprehensive evaluation of
  machine learning classifiers
Generative and reproducible benchmarks for comprehensive evaluation of machine learning classifiers
Patryk Orzechowski
J. Moore
ELM
VLM
12
10
0
14 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
Model Evaluation, Model Selection, and Algorithm Selection in Machine
  Learning
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
S. Raschka
67
749
0
13 Nov 2018
OpenML Benchmarking Suites
OpenML Benchmarking Suites
B. Bischl
Giuseppe Casalicchio
Matthias Feurer
Pieter Gijsbers
Frank Hutter
Michel Lang
R. G. Mantovani
Jan N. van Rijn
Joaquin Vanschoren
VLM
ELM
25
148
0
11 Aug 2017
Automating biomedical data science through tree-based pipeline
  optimization
Automating biomedical data science through tree-based pipeline optimization
Randal S. Olson
Ryan J. Urbanowicz
Peter C. Andrews
Nicole A. Lavender
L. C. Kidd
J. Moore
AI4CE
16
311
0
28 Jan 2016
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