Ben Letham
4 papers · 2020–2024 · 1 venue · across top CS/AI venues
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Achievements
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Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Optimization & Theory
(4)
Mathematics & Optimization
(2)
Optimization
(2)
Artificial Intelligence
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Methods
(1)
Keywords
bayesian optimization
(4)
gaussian process
(3)
bayesian inference
(1)
uncertainty quantification
(1)
policy search
(1)
variance reduction
(1)
outlier robustness
(1)
high-dimensional optimization
(1)
acquisition function
(1)
relevance pursuit
(1)
probabilistic regression
(1)
context embedding
(1)
monte carlo
(1)
linear embedding
(1)
contextual policy
(1)
sparse outlier
(1)
log marginal likelihood
(1)
sample efficiency
(1)
aggregate reward
(1)
robust regression
(1)
Papers
Robust Gaussian Processes via Relevance Pursuit
NeurIPS 2024
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
NeurIPS 2020
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization
NeurIPS 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
NeurIPS 2020