Raul Astudillo
9 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🔥 Unstoppable · Bronze
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Keywords
bayesian optimization
(7)
acquisition function
(5)
expected improvement
(3)
gaussian process
(2)
utility function
(2)
function network
(2)
preference learning
(2)
bayesian regret
(1)
knowledge gradient
(1)
pairwise comparison
(1)
black-box function
(1)
budget constraint
(1)
asymptotic consistency
(1)
level set estimation
(1)
evaluation cost
(1)
compositional model
(1)
bayesian algorithm execution
(1)
expected information gain
(1)
gittins index
(1)
preferential bayesian optimization
(1)
Papers
Bayesian Optimization of Function Networks with Partial Evaluations
ICML 2024
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index
NeurIPS 2024
Practical Bayesian Algorithm Execution via Posterior Sampling
NeurIPS 2024
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization
AISTATS 2023
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes
AISTATS 2022
Bayesian Optimization of Function Networks
NeurIPS 2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
NeurIPS 2021
Multi-attribute Bayesian optimization with interactive preference learning
AISTATS 2020
Bayesian Optimization of Composite Functions
ICML 2019