Matthias Feurer
13 papers · 2015–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Champion
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Keyword Pioneer
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Research topics
Machine Learning
(11)
Optimization & Theory
(8)
Artificial Intelligence
(7)
Learning Paradigms
(5)
Core AI
(4)
Learning Types
(4)
Core Methods
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Application Areas
(2)
Optimization
(2)
Resources & Methods
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Keywords
hyperparameter optimization
(7)
automated machine learning
(3)
bayesian optimization
(3)
ensemble learning
(2)
generalization error
(2)
in-context learning
(2)
prompt optimization
(2)
model selection
(2)
cross validation
(1)
nearest neighbor classifier
(1)
neural network optimization
(1)
machine learning
(1)
multi-objective optimization
(1)
surrogate model
(1)
tabular data
(1)
evolutionary algorithm
(1)
foundation model
(1)
validation loss
(1)
discrete optimization
(1)
gaussian process
(1)
Papers
promptolution: A Unified, Modular Framework for Prompt Optimization
EACL 2026
CAPO: Cost-Aware Prompt Optimization
AutoML 2025
In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning
ACL 2025
Overtuning in Hyperparameter Optimization
AutoML 2025
Position: A Call to Action for a Human-Centered AutoML Paradigm
ICML 2024
Position: Why We Must Rethink Empirical Research in Machine Learning
ICML 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
NeurIPS 2024
PFNs4BO: In-Context Learning for Bayesian Optimization
ICML 2023
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
JMLR 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
JMLR 2022
OpenML-Python: an extensible Python API for OpenML
JMLR 2021
Towards Automatically-Tuned Neural Networks
AutoML 2016
Efficient and Robust Automated Machine Learning
NeurIPS 2015