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Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
v1v2v3 (latest)

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

Journal of machine learning research (JMLR), 2020
8 July 2020
Matthias Feurer
Katharina Eggensperger
Stefan Falkner
Marius Lindauer
Katharina Eggensperger
ArXiv (abs)PDFHTMLHuggingFace (1 upvotes)

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

50 / 128 papers shown
DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning
DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning
Sarah Segel
Helena Graf
Edward Bergman
Kristina Thieme
Marcel Wever
Alexander Tornede
Frank Hutter
Marius Lindauer
163
2
0
01 Dec 2025
What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity
What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity
Alexis Audran-Reiss
Jordi Armengol-Estapé
Karen Hambardzumyan
Amar Budhiraja
Martin Josifoski
...
Jenny Zhang
Taco Cohen
Yossi Adi
Tatiana Shavrina
Yoram Bachrach
253
4
0
19 Nov 2025
AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents
AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents
Shangheng Du
Xiangchao Yan
Dengyang Jiang
Jiakang Yuan
Yusong Hu
Xin Li
Liang He
Bo Zhang
Lei Bai
151
7
0
09 Oct 2025
Expanding the Action Space of LLMs to Reason Beyond Language
Expanding the Action Space of LLMs to Reason Beyond Language
Zhongqi Yue
Weishi Wang
Yundaichuan Zhan
Juncheng Li
Daniel Dahlmeier
Fredrik D. Johansson
LLMAGReLMLM&RoKELMLRM
280
0
0
08 Oct 2025
The Role of Feature Interactions in Graph-based Tabular Deep Learning
The Role of Feature Interactions in Graph-based Tabular Deep Learning
Elias Dubbeldam
Reza Mohammadi
M. Schoonhoven
Ş. Birbil
LMTD
318
0
0
06 Oct 2025
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
LoRAFusion: Efficient LoRA Fine-Tuning for LLMs
Zhanda Zhu
Qidong Su
Yaoyao Ding
Kevin Song
Shang Wang
Gennady Pekhimenko
MoMe
227
1
0
30 Sep 2025
TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
TSGym: Design Choices for Deep Multivariate Time-Series Forecasting
Shuang Liang
Chaochuan Hou
Xu Yao
Shiping Wang
Minqi Jiang
Songqiao Han
Hailiang Huang
AI4TS
337
0
0
21 Sep 2025
MetaLLMix : An XAI Aided LLM-Meta-learning Based Approach for Hyper-parameters Optimization
MetaLLMix : An XAI Aided LLM-Meta-learning Based Approach for Hyper-parameters Optimization
Mohamed Bal-Ghaoui
Mohammed Tiouti
275
1
0
11 Sep 2025
In-Context Decision Making for Optimizing Complex AutoML Pipelines
In-Context Decision Making for Optimizing Complex AutoML Pipelines
Amir Rezaei Balef
Katharina Eggensperger
212
0
0
19 Aug 2025
Minimizing the Weighted Number of Tardy Jobs: Data-Driven Heuristic for Single-Machine Scheduling
Minimizing the Weighted Number of Tardy Jobs: Data-Driven Heuristic for Single-Machine Scheduling
Nikolai Antonov
Prěmysl Šůcha
Mikoláš Janota
Jan Hůla
158
1
0
19 Aug 2025
KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems
KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems
Stepan Kulibaba
Artem Dzhalilov
Roman Pakhomov
Oleg Svidchenko
Alexander Gasnikov
A. Shpilman
327
6
0
13 Aug 2025
Empowering Time Series Forecasting with LLM-Agents
Empowering Time Series Forecasting with LLM-Agents
Chin-Chia Michael Yeh
Vivian Lai
Uday Singh Saini
Xiran Fan
Yujie Fan
Junpeng Wang
Xin Dai
Yan Zheng
AI4TSLLMAGAIFinAI4CE
387
6
0
06 Aug 2025
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
Edan Toledo
Karen Hambardzumyan
Martin Josifoski
Rishi Hazra
Nicolas Mario Baldwin
...
Carole-Jean Wu
Pontus Stenetorp
Nicola Cancedda
Jakob N. Foerster
Yoram Bachrach
LLMAG
275
23
0
03 Jul 2025
CoMind: Towards Community-Driven Agents for Machine Learning Engineering
CoMind: Towards Community-Driven Agents for Machine Learning Engineering
Sijie Li
W. Sun
Shanda Li
Ameet Talwalkar
Yiming Yang
LLMAGAI4CE
431
2
0
25 Jun 2025
ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning
ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning
Zexi Liu
Yuzhu Cai
Xinyu Zhu
Yujie Zheng
Runkun Chen
Ying Wen
Yanfeng Wang
Weinan E
Siheng Chen
LLMAGLRM
322
32
0
19 Jun 2025
carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks
carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks
C. Benjamins
Helena Graf
Sarah Segel
Difan Deng
Tim Ruhkopf
...
Katharina Eggensperger
Katharina Eggensperger
Frank Hutter
Carola Doerr
Marius Lindauer
306
3
0
06 Jun 2025
Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data
Agentomics-ML: Autonomous Machine Learning Experimentation Agent for Genomic and Transcriptomic Data
Vlastimil Martinek
Andrea Gariboldi
Dimosthenis Tzimotoudis
Aitor Alberdi Escudero
Edward Blake
David Cechak
Luke Cassar
Alessandro Balestrucci
Panagiotis Alexiou
LLMAG
182
3
0
05 Jun 2025
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling
Simplifying Bayesian Optimization Via In-Context Direct Optimum Sampling
Gustavo Sutter Pessurno de Carvalho
Mohammed Abdulrahman
Hao Wang
Sriram Ganapathi Subramanian
Marc St-Aubin
Sharon O'Sullivan
Lawrence Wan
Luis Ricardez-Sandoval
Pascal Poupart
Agustinus Kristiadi
352
1
0
29 May 2025
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
Jaehyun Nam
Chang Jo Kim
Jiefeng Chen
Jinwoo Shin
Sercan Ö. Arık
Tomas Pfister
LLMAG
397
13
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27 May 2025
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
Zhining Liu
Ze Yang
Xiao Lin
Ruizhong Qiu
Tianxin Wei
Yada Zhu
Hendrik Hamann
Jingrui He
Hanghang Tong
AI4TS
358
10
0
24 May 2025
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
Alan Arazi
Eilam Shapira
Roi Reichart
LMTD
578
0
0
23 May 2025
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning
Amir Rezaei Balef
Claire Vernade
Katharina Eggensperger
372
3
0
08 May 2025
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows
Wenhao Li
Bo Jin
Mingyi Hong
Changhong Lu
Xiangfeng Wang
502
0
0
07 May 2025
The When and How of Target Variable Transformations
The When and How of Target Variable TransformationsInternational Symposium on Intelligent Data Analysis (IDA), 2025
Loren Nuyts
Jesse Davis
287
2
0
29 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey
Representation Learning for Tabular Data: A Comprehensive Survey
Jun-Peng Jiang
Si-Yang Liu
Hao-Run Cai
Qile Zhou
Han-Jia Ye
LMTD
456
25
0
17 Apr 2025
Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model SelectionACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services (MobiSys), 2025
Haoming Wang
Boyuan Yang
Xiangyu Yin
Wei Gao
486
6
0
15 Apr 2025
Classifying Subjective Time Perception in a Multi-robot Control Scenario Using Eye-tracking Information
Classifying Subjective Time Perception in a Multi-robot Control Scenario Using Eye-tracking Information
Till Aust
Julian Kaduk
Heiko Hamann
254
0
0
08 Apr 2025
Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks
Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks
Ali Al-Kaswan
Sebastian Deatc
Begüm Koç
Arie van Deursen
Maliheh Izadi
AAML
381
4
0
02 Apr 2025
AutoML Benchmark with shorter time constraints and early stopping
AutoML Benchmark with shorter time constraints and early stopping
Israel Campero Jurado
Pieter Gijsbers
Joaquin Vanschoren
AI4TS
991
1
0
01 Apr 2025
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting
Keshav Das
Julie Keisler
Margaux Brégère
Amaury Durand
304
0
0
31 Mar 2025
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
Wonduk Seo
Juhyeon Lee
Yi Bu
Qingshan Zhou
Seunghyun Lee
Yi Bu
401
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EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines
EDCA - An Evolutionary Data-Centric AutoML Framework for Efficient Pipelines
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Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak LearnersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Yuxin Wang
Botian Jiang
Yiran Guo
Quan Gan
David Wipf
Qi Zhang
Xipeng Qiu
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255
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Online Meta-learning for AutoML in Real-time (OnMAR)
Online Meta-learning for AutoML in Real-time (OnMAR)
Mia Gerber
Anna Sergeevna Bosman
J. D. Villiers
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306
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27 Feb 2025
Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI
Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI
Georgii Kolokolnikov
Marie-Lena Schmalhofer
Lennart Well
Said Farschtschi
Victor-Felix Mautner
Inka Ristow
Rene Werner
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196
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0
24 Feb 2025
AIDE: AI-Driven Exploration in the Space of Code
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Zhengyao Jiang
Dominik Schmidt
Dhruv Srikanth
Dixing Xu
Ian Kaplan
Deniss Jacenko
Yuxiang Wu
600
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0
18 Feb 2025
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning
CleanSurvival: Automated data preprocessing for time-to-event models using reinforcement learning
Yousef Koka
David Selby
Gerrit Großmann
Sebastian Vollmer
Sebastian Vollmer
AI4TS
330
2
0
06 Feb 2025
Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data
Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data
Zhiqiang Tang
Zihan Zhong
Tong He
Gerald Friedland
464
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0
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Automated Phytosensing: Ozone Exposure Classification Based on Plant
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Till Aust
Eduard Buss
Felix Mohr
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387
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Pulling the Carpet Below the Learner's Feet: Genetic Algorithm To Learn
  Ensemble Machine Learning Model During Concept Drift
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359
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PyGen: A Collaborative Human-AI Approach to Python Package Creation
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Saikat Barua
Mostafizur Rahman
Md Jafor Sadek
Rafiul Islam
Shehnaz Khaled
Md. Shohrab Hossain
560
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Large Language Models for Constructing and Optimizing Machine Learning
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Yang Gu
Hengyu You
Jian Cao
Muran Yu
Haoran Fan
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484
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Transfer Learning for Finetuning Large Language Models
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Lennart Purucker
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SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning
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Yizhang Lin
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