Aaron Klein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
4
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
11 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 | ICML | Optimizing Hyperparameters with Conformal Quantile Regression. | David Salinas, Jacek Golebiowski, Aaron Klein, Matthias W. Seeger, Cdric Archambeau |
| 2021 | AISTATS | Hyperparameter Transfer Learning with Adaptive Complexity. | Samuel Horvth, Aaron Klein, Peter Richtrik, Cdric Archambeau |
| 2021 | ICML | BORE: Bayesian Optimization by Density-Ratio Estimation. | Louis C. Tiao, Aaron Klein, Matthias W. Seeger, Edwin V. Bonilla, Cdric Archambeau, Fabio Ramos |
| 2019 | ICML | NAS-Bench-101: Towards Reproducible Neural Architecture Search. | Chris Ying, Aaron Klein, Eric Christiansen, Esteban Real, Kevin Murphy, Frank Hutter |
| 2018 | ECCV | Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow. | Eddy Ilg, zgn iek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox |
| 2018 | ICLR | Practical Hyperparameter Optimization for Deep Learning. | Stefan Falkner, Aaron Klein, Frank Hutter |
| 2018 | ICML | BOHB: Robust and Efficient Hyperparameter Optimization at Scale. | Stefan Falkner, Aaron Klein, Frank Hutter |
| 2017 | AISTATS | Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. | Aaron Klein, Stefan Falkner, Simon Bartels, Philipp Hennig, Frank Hutter |
| 2017 | ICLR | Learning Curve Prediction with Bayesian Neural Networks. | Aaron Klein, Stefan Falkner, Jost Tobias Springenberg, Frank Hutter |
| 2016 | ICML | Towards Automatically-Tuned Neural Networks. | Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Frank Hutter |