Matthias Feurer
13 papers · 2015–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5) π Cross-Pollinator (8)
π
Academic Marathon
(10)
π§
Keyword Pioneer
π
Cross-Pollinator
(8)
π₯
Unstoppable
(5)
π
Century Club
(12)
π
Conference Pioneer
π
Trend Setter
Conferences
AUTOML (3)
ICML (3)
JMLR (3)
NIPS (2)
ACL (1)
EACL (1)
Top co-authors
Keywords
hyperparameter optimization
(6)
automated machine learning
(3)
bayesian optimization
(3)
ensemble learning
(2)
in-context learning
(2)
model selection
(2)
generalization error
(1)
machine learning
(1)
nearest neighbor classifier
(1)
surrogate model
(1)
foundation model
(1)
tabular datum
(1)
validation loss
(1)
prompt optimization
(1)
benchmark framework
(1)
prior-data fitted network
(1)
posterior predictive distribution
(1)
algorithm configuration
(1)
interpretable prediction
(1)
python library
(1)
Papers
promptolution: A Unified, Modular Framework for Prompt Optimization
EACL 2026
Overtuning in Hyperparameter Optimization
AUTOML 2025
CAPO: Cost-Aware Prompt Optimization
AUTOML 2025
In-Context Learning of Soft Nearest Neighbor Classifiers for Intelligible Tabular Machine Learning
ACL 2025
Position: A Call to Action for a Human-Centered AutoML Paradigm
ICML 2024
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization
NIPS 2024
Position: Why We Must Rethink Empirical Research in Machine Learning
ICML 2024
PFNs4BO: In-Context Learning for Bayesian Optimization
ICML 2023
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
JMLR 2022
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
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
NIPS 2015