@inproceedings{salinas-icml23,title={Optimizing Hyperparameters with Conformal Quantile Regression},author={Salinas, D. and Golebiowsk, J. and Klein, A. and Seeger, M. and Archambeau, C.},booktitle={Proceedings of the 40th International Conference on Machine Learning (ICML'23)},year={2023},}
2022
Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research
D. Salinas , M. Seeger , A. Klein , and 3 more authors
In First Conference on Automated Machine Learning (Main Track) , 2022
@inproceedings{salinas-automl22,title={Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research},author={Salinas, D. and Seeger, M. and Klein, A. and Perrone, V. and Wistuba, M. and Archambeau, C.},booktitle={First Conference on Automated Machine Learning (Main Track)},year={2022},}
Automatic Termination for Hyperparameter Optimization
A. Makarova , H. Shen , V. Perrone , and 5 more authors
In First Conference on Automated Machine Learning (Main Track) , 2022
@inproceedings{makarova-automl22,title={Automatic Termination for Hyperparameter Optimization},author={Makarova, A. and Shen, H. and Perrone, V. and Klein, A. and Faddoul, J. B. and Krause, A. and Seeger, M. and Archambeau, C.},booktitle={First Conference on Automated Machine Learning (Main Track)},year={2022},}
2021
BORE: Bayesian Optimization by Density-Ratio Estimation
L. Tiao , A. Klein , M. Seeger , and 3 more authors
In Proceedings of the 38th International Conference on Machine Learning (ICML’21) , 2021
@inproceedings{tiao-icml21,title={BORE: Bayesian Optimization by Density-Ratio Estimation},author={Tiao, L. and Klein, A. and Seeger, M. and Bonilla, E. and Archambeau, C. and Ramos, F.},booktitle={Proceedings of the 38th International Conference on Machine Learning (ICML'21)},year={2021},}
Hyperparameter Transfer Learning with Adaptive Complexity
S. Horváth , A. Klein , P. Richtarik , and 1 more author
In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (AISTATS’21) , 2021
@inproceedings{horvath-aistats21,title={Hyperparameter Transfer Learning with Adaptive Complexity },author={Horv{\'a}th, S. and Klein, A. and Richtarik, P. and Archambeau, C.},booktitle={Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (AISTATS'21)},year={2021},}
2019
Meta-Surrogate Benchmarking for Hyperparameter Optimization
A. Klein , Z. Dai , F. Hutter , and 2 more authors
In Proceedings of the 32th International Conference on Advances in Neural Information Processing Systems (NIPS’19) , 2019
@inproceedings{klein-nips19,title={Meta-Surrogate Benchmarking for Hyperparameter Optimization},author={Klein, A. and Dai, Z. and Hutter, F. and Lawrence, N. and Gonzalez, J.},booktitle={Proceedings of the 32th International Conference on Advances in Neural Information Processing Systems (NIPS'19)},year={2019},}
NAS-Bench-101: Towards Reproducible Neural Architecture Search
C. Ying , A. Klein , E. Real , and 3 more authors
In Proceedings of the 36th International Conference on Machine Learning (ICML’19) , 2019
@inproceedings{ying-icml19,author={Ying, C. and Klein, A. and Real, E. and Christiansen, E. and Murphy, K. and Hutter, F.},title={{NAS-Bench-101}: Towards Reproducible Neural Architecture Search},booktitle={Proceedings of the 36th International Conference on Machine Learning (ICML'19)},year={2019},}
2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
S. Falkner , A. Klein , and F. Hutter
In Proceedings of the 35th International Conference on Machine Learning (ICML#18) , 2018
@inproceedings{falkner-icml18,title={{BOHB}: Robust and Efficient Hyperparameter Optimization at Scale},author={Falkner, S. and Klein, A. and Hutter, F.},booktitle={Proceedings of the 35th International Conference on Machine Learning (ICML#18)},year={2018},}
2017
Learning Curve Prediction with Bayesian Neural Networks
A. Klein , S. Falkner , J. T. Springenberg , and 1 more author
In International Conference on Learning Representations (ICLR’17) , 2017
@inproceedings{klein-iclr17,author={Klein, A. and Falkner, S. and Springenberg, J. T. and Hutter, F.},title={Learning Curve Prediction with {Bayesian} Neural Networks},booktitle={International Conference on Learning Representations (ICLR'17)},year={2017},}
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
A. Klein , S. Falkner , S. Bartels , and 2 more authors
In Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS’17) , 2017
@inproceedings{klein-aistats17,author={Klein, A. and Falkner, S. and Bartels, S. and Hennig, P. and Hutter, F.},title={Fast {Bayesian} Optimization of Machine Learning Hyperparameters on Large Datasets},booktitle={Proceedings of the 18th International Conference on Artificial Intelligence and Statistics (AISTATS'17)},year={2017},}
2016
Bayesian Optimization with Robust Bayesian Neural Networks
J. T. Springenberg , A. Klein , S. Falkner , and 1 more author
In Proceedings of the 29th International Conference on Advances in Neural Information Processing Systems (NIPS’16) , 2016
@inproceedings{springenberg-nips16,title={Bayesian Optimization with Robust Bayesian Neural Networks},author={Springenberg, J. T. and Klein, A. and Falkner, S. and Hutter, F.},booktitle={Proceedings of the 29th International Conference on Advances in Neural Information Processing Systems (NIPS'16)},year={2016},}
2015
Efficient and Robust Automated Machine Learning
M. Feurer , A. Klein , K. Eggensperger , and 3 more authors
In Proceedings of the 28th International Conference on Advances in Neural Information Processing Systems (NIPS’15) , 2015
@inproceedings{feurer-nips2015,booktitle={Proceedings of the 28th International Conference on Advances in Neural Information Processing Systems (NIPS'15)},title={Efficient and Robust Automated Machine Learning},author={Feurer, M. and Klein, A. and Eggensperger, K. and Springenberg, J. and Blum, M. and Hutter, F.},year={2015},}