OpenML Benchmarking Suites

11 August 2017

Jan N. van Rijn

Papers citing "OpenML Benchmarking Suites"

28 / 28 papers shown

Title
Tabular Embeddings for Tables with Bi-Dimensional Hierarchical Metadata and Nesting Gyanendra Shrestha Chutain Jiang Sai Akula Vivek Yannam Anna Pyayt Michael Gubanov LMTD 123 0 0 20 Feb 2025
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 91 4 0 26 Jun 2024
Had enough of experts? Quantitative knowledge retrieval from large language models David Selby Kai Spriestersbach Yuichiro Iwashita Dennis Bappert Archana Warrier Sumantrak Mukherjee Muhammad Nabeel Asim Koichi Kise Sebastian Vollmer 83 1 0 12 Feb 2024
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data Angus Dempster Geoffrey I. Webb Daniel F. Schmidt 49 0 0 28 Jan 2024
Personalized Benchmarking with the Ludwig Benchmarking Toolkit A. Narayan Piero Molino Karan Goel Willie Neiswanger Christopher Ré 32 11 0 08 Nov 2021
AlphaD3M: Machine Learning Pipeline Synthesis Iddo Drori Yamuna Krishnamurthy Rémi Rampin Raoni Lourenço Jorge Piazentin Ono Kyunghyun Cho Claudio Silva J. Freire 52 85 0 03 Nov 2021
Data vs classifiers, who wins? Lucas F. F. Cardoso Vitor Santos R. S. K. Francês R. Prudêncio Ronnie Cley de Oliveira Alves 27 3 0 15 Jul 2021
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning Aurélien F. Bibaut Antoine Chambaz Maria Dimakopoulou Nathan Kallus Mark van der Laan OffRL 44 14 0 03 Jun 2021
Post-Contextual-Bandit Inference Aurélien F. Bibaut Antoine Chambaz Maria Dimakopoulou Nathan Kallus Mark van der Laan 52 41 0 01 Jun 2021
Dynabench: Rethinking Benchmarking in NLP Douwe Kiela Max Bartolo Yixin Nie Divyansh Kaushik Atticus Geiger ... Pontus Stenetorp Robin Jia Joey Tianyi Zhou Christopher Potts Adina Williams 170 405 0 07 Apr 2021
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 72 278 0 08 Jul 2020
Distribution-Based Invariant Deep Networks for Learning Meta-Features Gwendoline de Bie Herilalaina Rakotoarison Gabriel Peyré Michèle Sebag OOD 74 1 0 24 Jun 2020
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 167 621 0 13 Mar 2020
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 65 203 0 12 Nov 2019
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
An Open Source AutoML Benchmark Pieter Gijsbers E. LeDell Janek Thomas Sébastien Poirier B. Bischl Joaquin Vanschoren VLM 57 240 0 01 Jul 2019
Do ImageNet Classifiers Generalize to ImageNet? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD SSeg VLM 100 1,709 0 13 Feb 2019
Hyperparameters and Tuning Strategies for Random Forest Philipp Probst Marvin N. Wright A. Boulesteix 109 1,385 0 10 Apr 2018
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 245 2,173 0 23 Mar 2018
Tunability: Importance of Hyperparameters of Machine Learning Algorithms Philipp Probst B. Bischl A. Boulesteix 50 612 0 26 Feb 2018
Hyperparameter Importance Across Datasets J. N. van Rijn Frank Hutter 41 240 0 12 Oct 2017
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison Randal S. Olson William La Cava Patryk Orzechowski Ryan J. Urbanowicz J. Moore 303 378 0 01 Mar 2017
OpenML: An R Package to Connect to the Machine Learning Platform OpenML Giuseppe Casalicchio Jakob Bossek Michel Lang Dominik Kirchhoff P. Kerschke B. Hofner H. Seibold Joaquin Vanschoren B. Bischl VLM LRM 46 55 0 05 Jan 2017
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 196 5,069 0 05 Jun 2016
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting N. Hansen A. Auger Raymond Ros Olaf Mersmann Tea Tušar D. Brockhoff 43 424 0 29 Mar 2016
ASlib: A Benchmark Library for Algorithm Selection B. Bischl P. Kerschke Lars Kotthoff Marius Lindauer Y. Malitsky ... Holger Hoos Frank Hutter Kevin Leyton-Brown Kevin Tierney Joaquin Vanschoren 52 222 0 08 Jun 2015
OpenML: networked science in machine learning Joaquin Vanschoren Jan N. van Rijn B. Bischl Luís Torgo FedML AI4CE 133 1,321 0 29 Jul 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 323 25,569 0 09 Jun 2011