Wistuba, Martin

27 publications

ICML 2025 Hyperband-Based Bayesian Optimization for Black-Box Prompt Selection Lennart Schneider, Martin Wistuba, Aaron Klein, Jacek Golebiowski, Giovanni Zappella, Felice Antonio Merra

NeurIPSW 2023 Continual Learning with Low Rank Adaptation Martin Wistuba, Prabhu Teja S, Lukas Balles, Giovanni Zappella

ICLR 2023 PASHA: Efficient HPO and NAS with Progressive Resource Allocation Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cedric Archambeau, Giovanni Zappella

NeurIPS 2023 Scaling Laws for Hyperparameter Optimization Arlind Kadra, Maciej Janowski, Martin Wistuba, Josif Grabocka

AISTATS 2023 Variational Boosted Soft Trees Tristan Cinquin, Tammo Rukat, Philipp Schmidt, Martin Wistuba, Artur Bekasov

AAAI 2022 Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea

CVPRW 2022 Continual Learning with Transformers for Image Classification Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cédric Archambeau

NeurIPS 2022 Memory Efficient Continual Learning with Transformers Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cedric Archambeau

NeurIPS 2022 Supervising the Multi-Fidelity Race of Hyperparameter Configurations Martin Wistuba, Arlind Kadra, Josif Grabocka

AutoML 2022 Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research David Salinas, Matthias Seeger, Aaron Klein, Valerio Perrone, Martin Wistuba, Cedric Archambeau

AAAI 2021 AutoText: An End-to-End AutoAI Framework for Text Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li

ICMLW 2021 Bandit Limited Discrepancy Search and Application to Machine Learning Pipeline Optimization Akihiro Kishimoto, Djallel Bouneffouf, Radu Marinescu, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito Pedregosa Palmes, Adi Botea

ICLR 2021 Few-Shot Bayesian Optimization with Deep Kernel Surrogates Martin Wistuba, Josif Grabocka

IJCAI 2021 Hardware-Aware Neural Architecture Search: Survey and Taxonomy Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smaïl Niar, Martin Wistuba, Naigang Wang

AAAI 2021 Searching for Machine Learning Pipelines Using a Context-Free Grammar Radu Marinescu, Akihiro Kishimoto, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea

ICML 2020 Learning to Rank Learning Curves Martin Wistuba, Tejaswini Pedapati

ECML-PKDD 2020 XferNAS: Transfer Neural Architecture Search Martin Wistuba

IJCAI 2019 Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba

ICMLW 2019 Optimal Exploitation of Clustering and History Information in Multi-Armed Bandit Problem Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba

ECML-PKDD 2019 Scalable Large Margin Gaussian Process Classification Martin Wistuba, Ambrish Rawat

ECML-PKDD 2018 Deep Learning Architecture Search by Neuro-Cell-Based Evolution with Function-Preserving Mutations Martin Wistuba

MLJ 2018 Scalable Gaussian Process-Based Transfer Surrogates for Hyperparameter Optimization Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

ECML-PKDD 2017 Personalized Tag Recommendation for Images Using Deep Transfer Learning Hanh T. H. Nguyen, Martin Wistuba, Lars Schmidt-Thieme

ECML-PKDD 2016 Scalable Hyperparameter Optimization with Products of Gaussian Process Experts Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme

ECML-PKDD 2016 Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

ECML-PKDD 2015 Hyperparameter Optimization with Factorized Multilayer Perceptrons Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme

ECML-PKDD 2015 Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme