Leonard Papenmeier

15 papers A* 4A 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization.
CoRR
Leonard Papenmeier, Petru Tighineanu
2025 A* conf
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization.
ICML
Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi
2025 J jnl
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization.
CoRR
Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi
2025 J jnl
Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization.
CoRR
Leonard Papenmeier, Luigi Nardi
2025 J jnl
Benchmarking that Matters: Rethinking Benchmarking for Practical Impact.
CoRR
Anna V. Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kudela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie
2025 A conf
Exploring Exploration in Bayesian Optimization.
UAI
Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi
2025 J jnl
Exploring Exploration in Bayesian Optimization.
CoRR
Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi
2025 J jnl
Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing.
CoRR
Erik Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi
2025 A* conf
Understanding High-Dimensional Bayesian Optimization.
ICML
Leonard Papenmeier, Matthias Poloczek, Luigi Nardi
2025 J jnl
Understanding High-Dimensional Bayesian Optimization.
CoRR
Leonard Papenmeier, Matthias Poloczek, Luigi Nardi
2023 A* conf
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces.
NeurIPS
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2023 J jnl
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces.
CoRR
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2023 J jnl
High-dimensional Bayesian Optimization with Group Testing.
CoRR
Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi
2023 J jnl
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces.
CoRR
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek
2022 A* conf
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces.
NeurIPS
Leonard Papenmeier, Luigi Nardi, Matthias Poloczek