Scalable Meta-Learning with Gaussian Processes.

Stefan Falkner http://ml.informatik.uni-freiburg.de/people/falkner/index.html https://scholar.google.com/citations?user=r7FWJEkAAAAJ University of Freiburg, Department of Computer Science, Germany Petru Tighineanu Lukas Grossberger Paul Baireuther Kathrin Skubch Stefan Falkner Julia Vinogradska Felix Berkenkamp Scalable Meta-Learning with Gaussian Processes. 1981-1989 2024 AISTATS https://proceedings.mlr.press/v238/tighineanu24a.html conf/aistats/2024 db/conf/aistats/aistats2024.html#TighineanuGBSFV24 Jiarong Pan Stefan Falkner Felix Berkenkamp Joaquin Vanschoren MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. 2024 ICML https://proceedings.mlr.press/v235/pan24b.html https://openreview.net/forum?id=3QM5SWfeov conf/icml/2024 db/conf/icml/icml2024.html#PanFBV24 39102-39134

Jiarong Pan Stefan Falkner Felix Berkenkamp Joaquin Vanschoren MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. 2023 abs/2307.03565 CoRR https://doi.org/10.48550/arXiv.2307.03565 db/journals/corr/corr2307.html#abs-2307-03565

Petru Tighineanu Lukas Grossberger Paul Baireuther Kathrin Skubch Stefan Falkner Julia Vinogradska Felix Berkenkamp Scalable Meta-Learning with Gaussian Processes. 2023 abs/2312.00742 CoRR https://doi.org/10.48550/arXiv.2312.00742 db/journals/corr/corr2312.html#abs-2312-00742

Matthias Feurer 0001 Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning. 261:1-261:61 2022 23 J. Mach. Learn. Res. https://jmlr.org/papers/v23/21-0992.html db/journals/jmlr/jmlr23.html#FeurerEFLH22

Amrutha Saseendran Kathrin Skubch Stefan Falkner Margret Keuper Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/aae3ff05a5638ce4e2ef2fbc04229797-Abstract-Conference.html db/conf/nips/neurips2022.html#SaseendranSFK22 Amrutha Saseendran Kathrin Skubch Stefan Falkner Margret Keuper Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders. 7319-7332 2021 NeurIPS https://proceedings.neurips.cc/paper/2021/hash/3c057cb2b41f22c0e740974d7a428918-Abstract.html conf/nips/2021 db/conf/nips/neurips2021.html#SaseendranSFK21 Michael Volpp Lukas P. Fröhlich Kirsten Fischer Andreas Doerr Stefan Falkner Frank Hutter Christian Daniel Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. 2020 ICLR https://openreview.net/forum?id=ryeYpJSKwr conf/iclr/2020 db/conf/iclr/iclr2020.html#VolppFFDFHD20

Matthias Feurer 0001 Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter Auto-Sklearn 2.0: The Next Generation. 2020 abs/2007.04074 CoRR https://arxiv.org/abs/2007.04074 db/journals/corr/corr2007.html#abs-2007-04074

Frederic Runge Danny Stoll Stefan Falkner Frank Hutter Learning to Design RNA. 2019 ICLR (Poster) https://openreview.net/forum?id=ByfyHh05tQ conf/iclr/2019 db/conf/iclr/iclr2019.html#RungeSFH19 Louay Abdelgawad Peter Kluegl Erdan Genc Stefan Falkner Frank Hutter Optimizing Neural Networks for Patent Classification. 688-703 2019 ECML/PKDD (3) https://doi.org/10.1007/978-3-030-46133-1_41 conf/pkdd/2019-3 db/conf/pkdd/pkdd2019-3.html#AbdelgawadKGFH19

Matilde Gargiani Aaron Klein Stefan Falkner Frank Hutter Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings. 2019 abs/1910.04522 CoRR http://arxiv.org/abs/1910.04522 db/journals/corr/corr1910.html#abs-1910-04522

Stefan Falkner Aaron Klein Frank Hutter Practical Hyperparameter Optimization for Deep Learning. 2018 ICLR (Workshop) https://openreview.net/forum?id=HJMudFkDf conf/iclr/2018w db/conf/iclr/iclr2018w.html#FalknerKH18 Stefan Falkner Aaron Klein Frank Hutter BOHB: Robust and Efficient Hyperparameter Optimization at Scale. 1436-1445 2018 ICML http://proceedings.mlr.press/v80/falkner18a.html conf/icml/2018 db/conf/icml/icml2018.html#FalknerKH18

Stefan Falkner Aaron Klein Frank Hutter BOHB: Robust and Efficient Hyperparameter Optimization at Scale. 2018 abs/1807.01774 CoRR http://arxiv.org/abs/1807.01774 db/journals/corr/corr1807.html#abs-1807-01774

Arber Zela Aaron Klein Stefan Falkner Frank Hutter Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search. 2018 abs/1807.06906 CoRR http://arxiv.org/abs/1807.06906 db/journals/corr/corr1807.html#abs-1807-06906

Frederic Runge Danny Stoll Stefan Falkner Frank Hutter Learning to Design RNA. 2018 abs/1812.11951 CoRR http://arxiv.org/abs/1812.11951 db/journals/corr/corr1812.html#abs-1812-11951

Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. 528-536 2017 AISTATS http://proceedings.mlr.press/v54/klein17a.html conf/aistats/2017 db/conf/aistats/aistats2017.html#KleinFBHH17 Aaron Klein Stefan Falkner Jost Tobias Springenberg Frank Hutter Learning Curve Prediction with Bayesian Neural Networks. 2017 ICLR (Poster) https://openreview.net/forum?id=S11KBYclx conf/iclr/2017 db/conf/iclr/iclr2017.html#KleinFSH17 Jost Tobias Springenberg Aaron Klein Stefan Falkner Frank Hutter Bayesian Optimization with Robust Bayesian Neural Networks. 4134-4142 2016 NIPS https://proceedings.neurips.cc/paper/2016/hash/a96d3afec184766bfeca7a9f989fc7e7-Abstract.html http://papers.nips.cc/paper/6117-bayesian-optimization-with-robust-bayesian-neural-networks conf/nips/2016 db/conf/nips/nips2016.html#SpringenbergKFH16

Aaron Klein Stefan Falkner Simon Bartels Philipp Hennig Frank Hutter Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets. 2016 abs/1605.07079 CoRR http://arxiv.org/abs/1605.07079 db/journals/corr/corr1605.html#KleinFBHH16

Jost Tobias Springenberg Aaron Klein Stefan Falkner Frank Hutter Asynchronous Stochastic Gradient MCMC with Elastic Coupling. 2016 abs/1612.00767 CoRR http://arxiv.org/abs/1612.00767 db/journals/corr/corr1612.html#SpringenbergKFH16

Stefan Falkner Marius Lindauer Frank Hutter SpySMAC: Automated Configuration and Performance Analysis of SAT Solvers. 215-222 2015 SAT https://doi.org/10.1007/978-3-319-24318-4_16 conf/sat/2015 db/conf/sat/sat2015.html#FalknerLH15 Louay Abdelgawad Paul Baireuther Simon Bartels Felix Berkenkamp Christian Daniel Andreas Doerr Katharina Eggensperger Matthias Feurer 0001 Kirsten Fischer Lukas P. Fröhlich Matilde Gargiani Erdan Genc Lukas GroßbergerLukas Grossberger Philipp Hennig Frank Hutter Margret Keuper Aaron Klein Peter KlüglPeter Kluegl Marius Lindauer Jiarong Pan Frederic Runge Amrutha Saseendran Kathrin Skubch Jost Tobias Springenberg Danny Stoll Petru Tighineanu Joaquin Vanschoren Julia Vinogradska Michael Volpp Arber Zela