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
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning Amir Rezaei Balef Claire Vernade Katharina Eggensperger 35 0 0 08 May 2025
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows Wenhao Li Bo Jin Mingyi Hong Changhong Lu Xiangfeng Wang 36 0 0 07 May 2025
The When and How of Target Variable Transformations Loren Nuyts Jesse Davis 21 0 0 29 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 33 0 0 17 Apr 2025
Classifying Subjective Time Perception in a Multi-robot Control Scenario Using Eye-tracking Information Till Aust Julian Kaduk Heiko Hamann 18 0 0 08 Apr 2025
AutoML Benchmark with shorter time constraints and early stopping Israel Campero Jurado Pieter Gijsbers Joaquin Vanschoren AI4TS 29 0 0 01 Apr 2025
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting Keshav Das Julie Keisler Margaux Brégère Amaury Durand 41 0 0 31 Mar 2025
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science Wonduk Seo Juhyeon Lee Yi Bu 41 0 0 30 Mar 2025
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines Joana Simões João Correia 58 0 0 06 Mar 2025
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners Yuxin Wang Botian Jiang Yiran Guo Quan Gan David Wipf Xuanjing Huang Xipeng Qiu AI4CE 47 2 0 03 Mar 2025
Online Meta-learning for AutoML in Real-time (OnMAR) Mia Gerber Anna Sergeevna Bosman J. D. Villiers OffRL 24 0 0 27 Feb 2025
AIDE: AI-Driven Exploration in the Space of Code Zhengyao Jiang Dominik Schmidt Dhruv Srikanth Dixing Xu Ian Kaplan Deniss Jacenko Yuxiang Wu 56 3 0 18 Feb 2025
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning Yousef Koka David Selby Gerrit Großmann Sebastian Vollmer AI4TS 69 0 0 06 Feb 2025
Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data Zhiqiang Tang Zihan Zhong Tong He Gerald Friedland 73 0 0 19 Dec 2024
Pulling the Carpet Below the Learner's Feet: Genetic Algorithm To Learn Ensemble Machine Learning Model During Concept Drift Teddy Lazebnik 66 0 0 12 Dec 2024
PyGen: A Collaborative Human-AI Approach to Python Package Creation Saikat Barua Mostafizur Rahman Md Jafor Sadek Rafiul Islam Shehnaz Khaled Md. Shohrab Hossain 32 1 0 13 Nov 2024
Large Language Models for Constructing and Optimizing Machine Learning Workflows: A Survey Yang Gu Hengyu You Jian Cao Muran Yu Haoran Fan Shiyou Qian LM&MA AI4CE 33 3 0 11 Nov 2024
Transfer Learning for Finetuning Large Language Models Tobias Strangmann Lennart Purucker Jörg K.H. Franke Ivo Rapant Fabio Ferreira Frank Hutter 34 0 0 02 Nov 2024
SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning Yizhou Chi Yizhang Lin Sirui Hong Duyi Pan Yaying Fei ... Tianqi Pang Jacky Kwok Ceyao Zhang Bang Liu Chenglin Wu LLMAG 25 2 0 22 Oct 2024
Meta-Learning from Learning Curves for Budget-Limited Algorithm Selection Manh Hung Nguyen Lisheng Sun-Hosoya Isabelle M Guyon 17 0 0 10 Oct 2024
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML Patara Trirat Wonyong Jeong Sung Ju Hwang LLMAG 23 9 0 03 Oct 2024
forester: A Tree-Based AutoML Tool in R Hubert Ruczyński Anna Kozak 23 1 0 07 Sep 2024
PMLBmini: A Tabular Classification Benchmark Suite for Data-Scarce Applications Ricardo Knauer Marvin Grimm Erik Rodner LMTD 25 2 0 03 Sep 2024
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification Fu Xing Long M. Frenzel Peter Krause M. Gitterle Thomas Bäck N. V. Stein 14 0 0 02 Sep 2024
Automated Machine Learning in Insurance Panyi Dong Zhiyu Quan OffRL 25 0 0 26 Aug 2024
Optical Music Recognition in Manuscripts from the Ricordi Archive Federico Simonetta Rishav Mondal L. A. Ludovico Stavros Ntalampiras 15 0 0 14 Aug 2024
Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost Jannis Maier Felix Möller Lennart Purucker 29 0 0 05 Aug 2024
Joint Learning of Emotions in Music and Generalized Sounds Federico Simonetta Francesca Certo Stavros Ntalampiras 22 0 0 04 Aug 2024
Can time series forecasting be automated? A benchmark and analysis Anvitha Thirthapura Sreedhara Joaquin Vanschoren AI4TS 15 0 0 23 Jul 2024
CLAMS: A System for Zero-Shot Model Selection for Clustering Prabhant Singh Pieter Gijsbers Murat Onur Yildirim Elif Ceren Gok Joaquin Vanschoren 14 0 0 15 Jul 2024
AnnotatedTables: A Large Tabular Dataset with Language Model Annotations Yaojie Hu Ilias Fountalis Jin Tian N. Vasiloglou LMTD 14 3 0 24 Jun 2024
Beyond Trend Following: Deep Learning for Market Trend Prediction Fernando Berzal Alberto Garcia 33 0 0 10 Jun 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm Marius Lindauer Florian Karl A. Klier Julia Moosbauer Alexander Tornede Andreas Mueller Frank Hutter Matthias Feurer Bernd Bischl 18 5 0 05 Jun 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization Thomas Nagler Lennart Schneider B. Bischl Matthias Feurer 30 2 0 24 May 2024
A Transformer-Based Approach for Smart Invocation of Automatic Code Completion Aral de Moor A. van Deursen M. Izadi VLM 26 5 0 23 May 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models R. Sukthanker Arber Zela B. Staffler Aaron Klein Lennart Purucker Jorg K. H. Franke Frank Hutter ELM 23 3 0 16 May 2024
Don't Waste Your Time: Early Stopping Cross-Validation Eddie Bergman Lennart Purucker Frank Hutter 19 6 0 06 May 2024
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models Zhiqiang Tang Haoyang Fang Su Zhou Taojiannan Yang Zihan Zhong Tony Hu Katrin Kirchhoff George Karypis 25 11 0 24 Apr 2024
Efficient Automatic Tuning for Data-driven Model Predictive Control via Meta-Learning Baoyu Li William Edwards Kris Hauser 21 0 0 30 Mar 2024
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making Anna Kozak Dominik Kedzierski Jakub Piwko Malwina Wojewoda Katarzyna Wo'znica 16 0 0 19 Mar 2024
HyperFast: Instant Classification for Tabular Data David Bonet D. M. Montserrat Xavier Giró-i-Nieto A. Ioannidis 19 15 0 22 Feb 2024
Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble Laura Fdez-Díaz J. R. Quevedo E. Montañés 12 3 0 02 Feb 2024
MachineLearnAthon: An Action-Oriented Machine Learning Didactic Concept Michal Tkávc Jakub Sieber Lara Kuhlmann Matthias Brueggenolte Alexandru Rinciog Michael Henke Artur M. Schweidtmann Qinghe Gao Maximilian F. Theisen Radwa El Shawi 18 0 0 29 Jan 2024
Two-Stage Surrogate Modeling for Data-Driven Design Optimization with Application to Composite Microstructure Generation Farhad Pourkamali-Anaraki Jamal F. Husseini E. Pineda B. Bednarcyk Scott E. Stapleton AI4CE 34 2 0 04 Jan 2024
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting Raphael Fischer Amal Saadallah 11 0 0 20 Dec 2023
On Leakage in Machine Learning Pipelines Leonard Sasse Eliana Nicolaisen-Sobesky Juergen Dukart Simon B. Eickhoff Michael Götz ... Abhijit Kulkarni Juha Lahnakoski Bradley C. Love F. Raimondo K. Patil AI4CE 6 3 0 07 Nov 2023
TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications David Salinas Nick Erickson 14 10 0 06 Nov 2023
OpportunityFinder: A Framework for Automated Causal Inference Huy Nguyen Prince Grover Devashish Khatwani CML 10 1 0 22 Sep 2023
DiffPrep: Differentiable Data Preprocessing Pipeline Search for Learning over Tabular Data Peng Li Zhiyi Chen Xu Chu Kexin Rong 17 4 0 20 Aug 2023
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance I. Triguero Daniel Molina Javier Poyatos Javier Del Ser Francisco Herrera AI4TS AI4MH 10 3 0 26 Jul 2023