Danny Stoll
5 papers · 2019–2023 · 2 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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Taxonomy Completionist
(13)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory
(4)
Deep Learning
(2)
Mathematics & Optimization
(2)
Learning Types · Machine Learning
(2)
Optimization
(2)
Artificial Intelligence
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Techniques
(1)
Keywords
bayesian optimization
(3)
hyperparameter optimization
(3)
neural architecture search
(2)
deep learning
(1)
neural architecture
(1)
multi-objective optimization
(1)
regret bound
(1)
acquisition function
(1)
surrogate model
(1)
expert belief
(1)
policy network
(1)
multi-fidelity optimization
(1)
joint optimization
(1)
model search
(1)
context-free grammar
(1)
prior belief
(1)
proxy task
(1)
rna design
(1)
meta learning
(1)
hierarchical search space
(1)
Papers
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
NeurIPS 2023
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
NeurIPS 2023
πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
ICLR 2022
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search
NeurIPS 2022
Learning to Design RNA
ICLR 2019