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Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.

Z. Wang, G. Dahl, K. Swersky, C. Lee, Z. Mariet, Z. Nado, J. Gilmer, J. Snoek, and Z. Ghahramani. CoRR, (2021)

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Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning.Z. Nado, N. Band, M. Collier, J. Djolonga, M. Dusenberry, S. Farquhar, A. Filos, M. Havasi, R. Jenatton, G. Jerfel and 14 other author(s). CoRR, (2021)Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.Z. Wang, G. Dahl, K. Swersky, C. Lee, Z. Mariet, Z. Nado, J. Gilmer, J. Snoek, and Z. Ghahramani. CoRR, (2021)AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions.H. Tsuruta, H. Yamazaki, R. Maeda, R. Tamura, J. Wei, Z. Mariet, P. Phloyphisut, H. Shimokawa, J. Ledsam, L. Colwell and 1 other author(s). CoRR, (2023)Foundations of Sequence-to-Sequence Modeling for Time Series.Z. Mariet, and V. Kuznetsov. AISTATS, volume 89 of Proceedings of Machine Learning Research, page 408-417. PMLR, (2019)A Tree-Based Method for Fast Repeated Sampling of Determinantal Point Processes.J. Gillenwater, A. Kulesza, Z. Mariet, and S. Vassilvitskii. ICML, volume 97 of Proceedings of Machine Learning Research, page 2260-2268. PMLR, (2019)Diversity Networks.Z. Mariet, and S. Sra. ICLR (Poster), (2016)Foundations of Sequence-to-Sequence Modeling for Time Series.V. Kuznetsov, and Z. Mariet. CoRR, (2018)Population-Based Black-Box Optimization for Biological Sequence Design.C. Angermüller, D. Belanger, A. Gane, Z. Mariet, D. Dohan, K. Murphy, L. Colwell, and D. Sculley. ICML, volume 119 of Proceedings of Machine Learning Research, page 324-334. PMLR, (2020)Fixed-point algorithms for determinantal point processes.Z. Mariet, and S. Sra. CoRR, (2015)Fixed-point algorithms for learning determinantal point processes.Z. Mariet, and S. Sra. ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 2389-2397. JMLR.org, (2015)

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Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.

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Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.