Poloczek, Matthias

12 publications

NeurIPS 2025 Bayesian Optimization with Preference Exploration Using a Monotonic Neural Network Ensemble Hanyang Wang, Juergen Branke, Matthias Poloczek

TMLR 2025 Respecting the Limit: Bayesian Optimization with a Bound on the Optimal Value Hanyang Wang, Juergen Branke, Matthias Poloczek

ICML 2025 Understanding High-Dimensional Bayesian Optimization Leonard Papenmeier, Matthias Poloczek, Luigi Nardi

NeurIPS 2023 Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces Leonard Papenmeier, Luigi Nardi, Matthias Poloczek

TMLR 2023 Dynamic Subgoal-Based Exploration via Bayesian Optimization Yijia Wang, Matthias Poloczek, Daniel R. Jiang

NeurIPS 2022 Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier, Luigi Nardi, Matthias Poloczek

AISTATS 2021 Scalable Constrained Bayesian Optimization David Eriksson, Matthias Poloczek

ICML 2019 A Framework for Bayesian Optimization in Embedded Subspaces Amin Nayebi, Alexander Munteanu, Matthias Poloczek

NeurIPS 2019 Scalable Global Optimization via Local Bayesian Optimization David Eriksson, Michael Pearce, Jacob Gardner, Ryan D Turner, Matthias Poloczek

ICML 2018 Bayesian Optimization of Combinatorial Structures Ricardo Baptista, Matthias Poloczek

NeurIPS 2017 Bayesian Optimization with Gradients Jian Wu, Matthias Poloczek, Andrew G Wilson, Peter Frazier

NeurIPS 2017 Multi-Information Source Optimization Matthias Poloczek, Jialei Wang, Peter Frazier