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2020 – today
- 2026
[i10]Leonard Papenmeier, Petru Tighineanu:
SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization. CoRR abs/2601.22131 (2026)- 2025
- [c5]Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi:
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization. ICML 2025 - [c4]Leonard Papenmeier, Matthias Poloczek, Luigi Nardi:
Understanding High-Dimensional Bayesian Optimization. ICML 2025 - [c3]Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi:
Exploring Exploration in Bayesian Optimization. UAI 2025: 3388-3415 - [i9]Nuojin Cheng, Leonard Papenmeier, Stephen Becker, Luigi Nardi:
A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization. CoRR abs/2501.18756 (2025) - [i8]Leonard Papenmeier, Nuojin Cheng, Stephen Becker, Luigi Nardi:
Exploring Exploration in Bayesian Optimization. CoRR abs/2502.08208 (2025) - [i7]Leonard Papenmeier, Matthias Poloczek, Luigi Nardi:
Understanding High-Dimensional Bayesian Optimization. CoRR abs/2502.09198 (2025) - [i6]Erik Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi:
Leveraging Axis-Aligned Subspaces for High-Dimensional Bayesian Optimization with Group Testing. CoRR abs/2504.06111 (2025) - [i5]Leonard Papenmeier, Luigi Nardi:
Bencher: Simple and Reproducible Benchmarking for Black-Box Optimization. CoRR abs/2505.21321 (2025) - [i4]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:
Benchmarking that Matters: Rethinking Benchmarking for Practical Impact. CoRR abs/2511.12264 (2025) - 2023
- [c2]Leonard Papenmeier, Luigi Nardi, Matthias Poloczek:
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces. NeurIPS 2023 - [i3]Leonard Papenmeier, Luigi Nardi, Matthias Poloczek:
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. CoRR abs/2304.11468 (2023) - [i2]Leonard Papenmeier, Luigi Nardi, Matthias Poloczek:
Bounce: a Reliable Bayesian Optimization Algorithm for Combinatorial and Mixed Spaces. CoRR abs/2307.00618 (2023) - [i1]Erik Orm Hellsten, Carl Hvarfner, Leonard Papenmeier, Luigi Nardi:
High-dimensional Bayesian Optimization with Group Testing. CoRR abs/2310.03515 (2023) - 2022
- [c1]Leonard Papenmeier, Luigi Nardi, Matthias Poloczek:
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces. NeurIPS 2022
Coauthor Index
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