Martin Wistuba
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
16
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Hyperband-based Bayesian Optimization for Black-box Prompt Selection. | Lennart Schneider, Martin Wistuba, Aaron Klein, Jacek Golebiowski, Giovanni Zappella, Felice Antonio Merra |
| 2023 | AISTATS | Variational Boosted Soft Trees. | Tristan Cinquin, Tammo Rukat, Philipp Schmidt, Martin Wistuba, Artur Bekasov |
| 2023 | ICLR | PASHA: Efficient HPO and NAS with Progressive Resource Allocation. | Ondrej Bohdal, Lukas Balles, Martin Wistuba, Beyza Ermis, Cdric Archambeau, Giovanni Zappella |
| 2022 | AAAI | 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 |
| 2022 | CVPR | Continual Learning with Transformers for Image Classification. | Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cdric Archambeau |
| 2021 | AAAI | 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 |
| 2021 | AAAI | 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 |
| 2021 | ICDE | Automated Data Science for Relational Data. | Hoang Thanh Lam, Beat Buesser, Hong Min, Tran Ngoc Minh, Martin Wistuba, Udayan Khurana, Gregory Bramble, Theodoros Salonidis, Dakuo Wang, Horst Samulowitz |
| 2021 | ICLR | Few-Shot Bayesian Optimization with Deep Kernel Surrogates. | Martin Wistuba, Josif Grabocka |
| 2021 | IJCAI | Hardware-Aware Neural Architecture Search: Survey and Taxonomy. | Hadjer Benmeziane, Kaoutar El Maghraoui, Hamza Ouarnoughi, Smal Niar, Martin Wistuba, Naigang Wang |
| 2020 | ICML | Learning to Rank Learning Curves. | Martin Wistuba, Tejaswini Pedapati |
| 2020 | IJCNN | Survey on Automated End-to-End Data Science? | Djallel Bouneffouf, Charu C. Aggarwal, Thanh Hoang, Udayan Khurana, Horst Samulowitz, Beat Buesser, Sijia Liu, Tejaswini Pedapati, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Alexander G. Gray |
| 2019 | IJCAI | Optimal Exploitation of Clustering and History Information in Multi-armed Bandit. | Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba |
| 2018 | DSAA | Practical Deep Learning Architecture Optimization. | Martin Wistuba |
| 2017 | PAKDD | Personalized Deep Learning for Tag Recommendation. | Hanh T. H. Nguyen, Martin Wistuba, Josif Grabocka, Lucas Rgo Drumond, Lars Schmidt-Thieme |
| 2017 | SDM | Automatic Frankensteining: Creating Complex Ensembles Autonomously. | Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme |
| 2016 | DSAA | Hyperparameter Optimization Machines. | Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme |
| 2015 | DSAA | Learning hyperparameter optimization initializations. | Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme |
| 2015 | ICDM | Sequential Model-Free Hyperparameter Tuning. | Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme |
| 2015 | ICTAI | Joint Model Choice and Hyperparameter Optimization with Factorized Multilayer Perceptrons. | Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme |
| 2014 | ICALT | Minimal Invasive Integration of Learning Analytics Services in Intelligent Tutoring Systems. | Carlotta Schatten, Martin Wistuba, Lars Schmidt-Thieme, Sergio Gutirrez Santos |
| 2014 | KDD | Learning time-series shapelets. | Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme |
| 2013 | ICTAI | Factorized Decision Trees for Active Learning in Recommender Systems. | Rasoul Karimi, Martin Wistuba, Alexandros Nanopoulos, Lars Schmidt-Thieme |
| 2013 | KI | Move Prediction in Go - Modelling Feature Interactions Using Latent Factors. | Martin Wistuba, Lars Schmidt-Thieme |