Leonard Papenmeier

According to our database, Leonard Papenmeier authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization.

Leonard Papenmeier, Petru Tighineanu

CoRR, January, 2026

Benchmarking that Matters: Rethinking Benchmarking in Continuous Optimisation for Practical Impact.

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

Proceedings of the Applications of Evolutionary Computation - 29th European Conference, 2026

2025

Benchmarking that Matters: Rethinking Benchmarking for Practical Impact.

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

CoRR, November, 2025

Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization.

Leonard Papenmeier, Luigi Nardi

CoRR, May, 2025

Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing.

Erik Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi

CoRR, April, 2025

Exploring Exploration in Bayesian Optimization.

Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Understanding High-Dimensional Bayesian Optimization.

Leonard Papenmeier, Matthias Poloczek, Luigi Nardi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization.

Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2023

High-dimensional Bayesian Optimization with Group Testing.

Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi

CoRR, 2023

Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces.

Leonard Papenmeier, Luigi Nardi, Matthias Poloczek

CoRR, 2023

Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces.

Leonard Papenmeier, Luigi Nardi, Matthias Poloczek

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces.

Leonard Papenmeier, Luigi Nardi, Matthias Poloczek

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022