FLAML: A Fast and Lightweight AutoML Library

FLAML: A Fast and Lightweight AutoML Library

12 November 2019

Papers citing "FLAML: A Fast and Lightweight AutoML Library"

17 / 67 papers shown

Title
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization Yi-Wei Chen Chi Wang A. Saied Rui Zhuang 19 2 0 04 Aug 2022
Automatically Categorising GitHub Repositories by Application Domain Francisco Zanartu Christoph Treude Bruno Cartaxo H. Borges Pedro Moura Markus Wagner G. Pinto 25 4 0 30 Jul 2022
AMLB: an AutoML Benchmark Pieter Gijsbers Marcos L. P. Bueno Stefan Coors E. LeDell Sébastien Poirier Janek Thomas B. Bischl Joaquin Vanschoren 38 53 0 25 Jul 2022
AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks Hassan Eldeeb Mohamed Maher Radwa El Shawi Sherif Sakr 38 16 0 18 Apr 2022
Practitioner Motives to Use Different Hyperparameter Optimization Methods Niclas Kannengießer Niklas Hasebrook Felix Morsbach Marc-André Zöller Jörg Franke Marius Lindauer Frank Hutter Ali Sunyaev 39 4 0 03 Mar 2022
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning Marc-André Zöller Waldemar Titov T. Schlegel Marco F. Huber HAI 11 9 0 24 Feb 2022
Mining Robust Default Configurations for Resource-constrained AutoML Moe Kayali Chi Wang 11 3 0 20 Feb 2022
Missing Data Infill with Automunge Nicholas J. Teague 35 3 0 19 Feb 2022
Feature Construction and Selection for PV Solar Power Modeling Yu Yang J. Mao Richard Nguyen Annas Tohmeh H. Yeh 6 4 0 13 Feb 2022
AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection Yunpu Zhao Rui Zhang Xiaqing Li 14 3 0 01 Jan 2022
Federated Data Science to Break Down Silos [Vision] Essam Mansour Kavitha Srinivas K. Hose FedML AI4CE 32 8 0 25 Nov 2021
A Scalable AutoML Approach Based on Graph Neural Networks M. Helali Essam Mansour Ibrahim Abdelaziz Julian T Dolby Kavitha Srinivas GNN 29 12 0 29 Oct 2021
ChaCha for Online AutoML Qingyun Wu Chi Wang John Langford Paul Mineiro Marco Rossi 27 7 0 09 Jun 2021
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 35 266 0 08 Jul 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 97 607 0 13 Mar 2020
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 41 151 0 11 Aug 2017
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 33 311 0 28 Jan 2016