Natalie Maus
5 papers · 2022–2024 · 3 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
(5)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Deep Learning
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Optimization
(1)
Keywords
bayesian optimization
(5)
latent space
(2)
trust region
(2)
gaussian process
(2)
variational inference
(2)
evidence lower bound
(1)
inducing point
(1)
predictive covariance
(1)
diverse solution
(1)
structured input
(1)
neural network encoder
(1)
utility-calibrated inference
(1)
black-box optimization
(1)
composite-structured functions
(1)
multi-objective optimization
(1)
probabilistic model
(1)
acquisition function
(1)
high dimensional
(1)
Papers
Approximation-Aware Bayesian Optimization
NeurIPS 2024
Joint Composite Latent Space Bayesian Optimization
ICML 2024
Discovering Many Diverse Solutions with Bayesian Optimization
AISTATS 2023
Variational Gaussian Processes with Decoupled Conditionals
NeurIPS 2023
Local Latent Space Bayesian Optimization over Structured Inputs
NeurIPS 2022