Matthias Poloczek
9 papers · 2017–2025 · 3 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (11)
π
Keyword Champion
(4)
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Mathematics & Optimization
(7)
Optimization
(7)
Optimization & Theory
(7)
Bayesian & Probabilistic Β· Machine Learning
(4)
Artificial Intelligence
(3)
Application Areas
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Learning Paradigms
(2)
Reinforcement Learning
(1)
Applications
(1)
Keywords
bayesian optimization
(9)
high-dimensional optimization
(4)
gaussian process
(4)
black-box function
(3)
acquisition function
(3)
combinatorial optimization
(2)
hyperparameter optimization
(2)
constrained optimization
(1)
global optimization
(1)
maximum likelihood estimation
(1)
neural architecture search
(1)
semidefinite programming
(1)
knowledge gradient
(1)
black-box optimization
(1)
sample efficiency
(1)
gradient vanishing
(1)
multi-fidelity optimization
(1)
subspace embedding
(1)
local search
(1)
local model
(1)
Papers
Understanding High-Dimensional Bayesian Optimization
ICML 2025
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
NeurIPS 2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces
NeurIPS 2022
Scalable Constrained Bayesian Optimization
AISTATS 2021
A Framework for Bayesian Optimization in Embedded Subspaces
ICML 2019
Scalable Global Optimization via Local Bayesian Optimization
NeurIPS 2019
Bayesian Optimization of Combinatorial Structures
ICML 2018
Bayesian Optimization with Gradients
NeurIPS 2017
Multi-Information Source Optimization
NeurIPS 2017