Samuel Daulton
10 papers · 2017–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+2 more ↓ Show less ↑
🗺️ Taxonomy Completionist (19) 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze
👥
Mega-Team · Squad
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(8)
Mathematics & Optimization
(7)
Optimization
(7)
Bayesian & Probabilistic · Machine Learning
(3)
Artificial Intelligence
(2)
Learning Types
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Core Methods
(1)
Methods
(1)
Keywords
bayesian optimization
(7)
acquisition function
(4)
multi-objective optimization
(4)
sample efficiency
(3)
parallel optimization
(2)
gaussian process
(2)
expected hypervolume improvement
(2)
surrogate model
(2)
black-box optimization
(2)
hypervolume improvement
(2)
numerical optimization
(1)
sequential optimization
(1)
variance reduction
(1)
gradient-based optimization
(1)
robust optimization
(1)
expected improvement
(1)
mixed optimization
(1)
sparse approximation
(1)
scalable inference
(1)
pareto optimality
(1)
Papers
Ax: A Platform for Adaptive Experimentation
AutoML 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization
NeurIPS 2023
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
NeurIPS 2022
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels
NeurIPS 2022
Multi-objective Bayesian optimization over high-dimensional search spaces
UAI 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise
ICML 2022
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
NeurIPS 2021
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization
NeurIPS 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
NeurIPS 2020
Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes
NeurIPS 2017