Carl Hvarfner
7 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(7)
Optimization & Theory
(6)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Optimization
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Foundations
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
bayesian optimization
(6)
acquisition function
(4)
hyperparameter optimization
(3)
gaussian process
(3)
benchmark suite
(1)
performance optimization
(1)
posterior sampling
(1)
deep learning
(1)
information-theoretic optimization
(1)
prior knowledge
(1)
model complexity
(1)
regret bound
(1)
black-box function
(1)
information gain
(1)
entropy search
(1)
expert belief
(1)
monte carlo
(1)
prior belief
(1)
proxy task
(1)
high dimension
(1)
Papers
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization
AutoML 2025
A General Framework for User-Guided Bayesian Optimization
ICLR 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions
ICML 2024
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
NeurIPS 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning
NeurIPS 2023
πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
ICLR 2022
Joint Entropy Search For Maximally-Informed Bayesian Optimization
NeurIPS 2022