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

8 July 2020

Matthias Feurer

Katharina Eggensperger

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

50 / 105 papers shown

Title
BovineTalk: Machine Learning for Vocalization Analysis of Dairy Cattle under Negative Affective States D. Gavojdian Teddy Lazebnik Madalina Mincu Ariel Oren Ioana Nicolae Anna Zamansky 6 0 0 26 Jul 2023
Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML Lennart Purucker Lennart Schneider Marie Anastacio Joeran Beel B. Bischl Holger Hoos 6 4 0 17 Jul 2023
Human Emergency Detection during Autonomous Hospital Transports Andreas Zachariae Julia Widera Frederik Plahl B. Hein C. Wurll 13 1 0 17 Jul 2023
DataAssist: A Machine Learning Approach to Data Cleaning and Preparation Kartikay Goyle Quin Xie V. Goyle 19 7 0 14 Jul 2023
Optimizing Feature Extraction for Symbolic Music Federico Simonetta A. Llorens Martín Serrano Eduardo García-Portugués Álvaro Torrente 8 2 0 11 Jul 2023
AutoML in Heavily Constrained Applications Felix Neutatz Marius Lindauer Ziawasch Abedjan 6 4 0 29 Jun 2023
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning Neeratyoy Mallik Eddie Bergman Carl Hvarfner Daniel Stoll Maciej Janowski Marius Lindauer Luigi Nardi Frank Hutter 6 23 0 21 Jun 2023
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks Alexander Tornede Difan Deng Theresa Eimer Joseph Giovanelli Aditya Mohan ... Sarah Segel Daphne Theodorakopoulos Tanja Tornede Henning Wachsmuth Marius Lindauer 10 22 0 13 Jun 2023
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems Pedro Reviriego Ziheng Wang Alvaro Alonso Zhen Gao Farzad Niknia Shanshan Liu Fabrizio Lombardi 19 1 0 02 Jun 2023
Deep Pipeline Embeddings for AutoML Sebastian Pineda Arango Josif Grabocka 8 2 0 23 May 2023
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance Zheyu Zhang T. Zhang Jun Yu Li 16 0 0 18 May 2023
When Do Neural Nets Outperform Boosted Trees on Tabular Data? Duncan C. McElfresh Sujay Khandagale Jonathan Valverde C. VishakPrasad Ben Feuer Chinmay Hegde Ganesh Ramakrishnan Micah Goldblum Colin White LMTD 21 71 0 04 May 2023
Benchmarking Automated Machine Learning Methods for Price Forecasting Applications Horst Stühler Marc Zoller D. Klau Alexandre Beiderwellen Bedrikow C. Tutschku 28 7 0 28 Apr 2023
Constructing a meta-learner for unsupervised anomaly detection M. Gutowska Suzanne Little A. Mccarren 14 3 0 22 Apr 2023
eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems H. M. Zhang Juliana Freire Yash Garg 11 0 0 17 Apr 2023
Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML Hilde J. P. Weerts Florian Pfisterer Matthias Feurer Katharina Eggensperger Eddie Bergman Noor H. Awad Joaquin Vanschoren Mykola Pechenizkiy B. Bischl Frank Hutter FaML 23 17 0 15 Mar 2023
Benchmark of Data Preprocessing Methods for Imbalanced Classification Radovan Haluška J. Brabec Tomás Komárek 11 2 0 06 Mar 2023
Towards Personalized Preprocessing Pipeline Search Diego Martinez Daochen Zha Qiaoyu Tan Xia Hu AI4TS 11 2 0 28 Feb 2023
Scalable End-to-End ML Platforms: from AutoML to Self-serve I. Markov P. Apostolopoulos Mia Garrard Tianyu Qie Yin Huang ... Anika Li Cesar Cardoso George Han Ryan Maghsoudian Norm Zhou LRM 6 2 0 27 Feb 2023
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search Mehdi Asadi Fatemeh Poursalim Mohammad Loni Masoud Daneshtalab Mikael Sjödin Arash Gharehbaghi 19 7 0 17 Jan 2023
Toward Theoretical Guidance for Two Common Questions in Practical Cross-Validation based Hyperparameter Selection Parikshit Ram Alexander G. Gray Horst Samulowitz Gregory Bramble 18 1 0 12 Jan 2023
Data-centric AI: Perspectives and Challenges Daochen Zha Zaid Pervaiz Bhat Kwei-Herng Lai Fan Yang Xia Hu 8 66 0 12 Jan 2023
Benchmarking AutoML algorithms on a collection of synthetic classification problems P. Ribeiro Patryk Orzechowski Joost B. Wagenaar J. H. Moore 11 1 0 06 Dec 2022
The Missing Indicator Method: From Low to High Dimensions Mike Van Ness Tomas M. Bosschieter Roberto Halpin-Gregorio Madeleine Udell AI4TS 11 15 0 16 Nov 2022
Meta-Learning for Unsupervised Outlier Detection with Optimal Transport Prabhant Singh Joaquin Vanschoren OOD 11 3 0 01 Nov 2022
Entropy Approximation by Machine Learning Regression: Application for Irregularity Evaluation of Images in Remote Sensing Andrei Velichko M. Belyaev Matthias P. Wagner Alireza Taravat 14 8 0 13 Oct 2022
Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application Andrei Velichko M. T. Huyut M. Belyaev Y. Izotov Dmitry Korzun OOD 11 36 0 08 Sep 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 18 105 0 31 Aug 2022
Fraud Dataset Benchmark and Applications P. Grover Ju Xu Justin Tittelfitz Anqi Cheng Zheng Li Jakub Zablocki Jianbo Liu Hao Zhou AAML 10 3 0 30 Aug 2022
An Empirical Study on the Usage of Automated Machine Learning Tools Forough Majidi Moses Openja Foutse Khomh Heng Li 21 14 0 28 Aug 2022
A Survey of Open Source Automation Tools for Data Science Predictions Nicholas Hoell 12 0 0 24 Aug 2022
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python Aayush Kumar J. M. Mase D. Rengasamy Benjamin Rothwell Mercedes Torres Torres David A. Winkler Grazziela Figueredo 9 2 0 08 Aug 2022
AMLB: an AutoML Benchmark Pieter Gijsbers Marcos L. P. Bueno Stefan Coors E. LeDell Sébastien Poirier Janek Thomas B. Bischl Joaquin Vanschoren 17 52 0 25 Jul 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 13 349 0 18 Jul 2022
Assessing Ranking and Effectiveness of Evolutionary Algorithm Hyperparameters Using Global Sensitivity Analysis Methodologies Varun Ojha J. Timmis Giuseppe Nicosia 17 11 0 11 Jul 2022
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann Samuel G. Müller Katharina Eggensperger Frank Hutter 17 251 0 05 Jul 2022
Hyperparameter Importance of Quantum Neural Networks Across Small Datasets Charles Moussa Jan N. van Rijn Thomas Bäck Vedran Dunjko 14 11 0 20 Jun 2022
AutoML Two-Sample Test Jonas M. Kubler Vincent Stimper Simon Buchholz Krikamol Muandet Bernhard Schölkopf 11 13 0 17 Jun 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks Tuan Dinh Yuchen Zeng Ruisu Zhang Ziqian Lin Michael Gira Shashank Rajput Jy-yong Sohn Dimitris Papailiopoulos Kangwook Lee LMTD 24 123 0 14 Jun 2022
ARLO: A Framework for Automated Reinforcement Learning Marco Mussi Davide Lombarda Alberto Maria Metelli F. Trovò Marcello Restelli OffRL 15 4 0 20 May 2022
AdaCap: Adaptive Capacity control for Feed-Forward Neural Networks Katia Méziani Karim Lounici Benjamin Riu 6 0 0 09 May 2022
Automated Few-Shot Time Series Forecasting based on Bi-level Programming Jiangjiao Xu Ke Li AI4TS 20 1 0 07 Mar 2022
On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization Jungtaek Kim Seungjin Choi 14 5 0 22 Feb 2022
Towards AutoQML: A Cloud-Based Automated Circuit Architecture Search Framework Raúl Berganza Gómez Corey O’Meara G. Cortiana C. Mendl Juan Bernabé-Moreno 6 10 0 16 Feb 2022
Consolidated learning -- a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV Katarzyna Wo'znica Mateusz Grzyb Zuzanna Trafas P. Biecek 58 2 0 27 Jan 2022
MLOps -- Definitions, Tools and Challenges Georgios Symeonidis Evangelos Nerantzis A. Kazakis G. Papakostas 14 84 0 01 Jan 2022
Fast and Informative Model Selection using Learning Curve Cross-Validation F. Mohr Jan N. van Rijn 9 23 0 27 Nov 2021
Federated Data Science to Break Down Silos [Vision] Essam Mansour Kavitha Srinivas K. Hose FedML AI4CE 12 8 0 25 Nov 2021
Towards Green Automated Machine Learning: Status Quo and Future Directions Tanja Tornede Alexander Tornede Jonas Hanselle Marcel Wever F. Mohr Eyke Hüllermeier 49 36 0 10 Nov 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 80 323 0 20 Sep 2021