AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

13 March 2020

Jonas W. Mueller

Alexander Shirkov

Papers citing "AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data"

10 / 60 papers shown

Title
Automatic Componentwise Boosting: An Interpretable AutoML System Stefan Coors Daniel Schalk B. Bischl David Rügamer TPM 30 3 0 12 Sep 2021
LightAutoML: AutoML Solution for a Large Financial Services Ecosystem Anton Vakhrushev A. Ryzhkov M. Savchenko Dmitry Simakov Rinchin Damdinov Alexander Tuzhilin 11 33 0 03 Sep 2021
Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines Nikolay O. Nikitin Pavel Vychuzhanin M. Sarafanov Iana S. Polonskaia I. Revin Irina V. Barabanova G. Maximov Anna V. Kaluzhnaya A. Boukhanovsky 13 55 0 26 Jun 2021
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models Jingxuan Li Rui Huang Wei Li Kai-Lang Yao Weiguo Tan 19 14 0 26 Jun 2021
Multi-objective Asynchronous Successive Halving Robin Schmucker Michele Donini Muhammad Bilal Zafar David Salinas Cédric Archambeau 32 23 0 23 Jun 2021
Flexible Model Aggregation for Quantile Regression Rasool Fakoor Tae-Soo Kim Jonas W. Mueller Alexander J. Smola R. Tibshirani 17 19 0 26 Feb 2021
Ensemble Squared: A Meta AutoML System Jason Yoo Tony Joseph Dylan Yung S. Nasseri Frank D. Wood MoE 12 8 0 10 Dec 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 33 266 0 08 Jul 2020
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 16 83 0 09 Jun 2020
FLAML: A Fast and Lightweight AutoML Library Chi Wang Qingyun Wu Markus Weimer Erkang Zhu 19 194 0 12 Nov 2019