Samuel Daulton
10 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (18) π Interdisciplinary Bridge π Conference Polyglot (4)
π
Academic Marathon
(8)
π
Cross-Pollinator
(11)
π₯
Mega-Team
(21)
π
Century Club
(10)
Conferences
NIPS (7)
AUTOML (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
bayesian optimization
(7)
acquisition function
(4)
multi-objective optimization
(4)
gaussian process
(2)
hypervolume improvement
(2)
parallel optimization
(2)
expected hypervolume improvement
(2)
sample efficiency
(2)
expected improvement
(1)
variance reduction
(1)
pareto optimality
(1)
scalable inference
(1)
mixed optimization
(1)
probabilistic model
(1)
surrogate model
(1)
bayesian neural network
(1)
latent embedding
(1)
reward decomposition
(1)
value function decomposition
(1)
random scalarization
(1)
Papers
Ax: A Platform for Adaptive Experimentation
AUTOML 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization
NIPS 2023
Multi-objective Bayesian optimization over high-dimensional search spaces
UAI 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
NIPS 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
NIPS 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise
ICML 2022
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
NIPS 2021
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
NIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
NIPS 2020
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
NIPS 2017