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Gradient-based Hyperparameter Optimization through Reversible Learning

D. Maclaurin, D. Duvenaud, and R. Adams. (2015)cite arxiv:1502.03492Comment: 10 figures. Submitted to ICML.

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Firefly Monte Carlo: Exact MCMC with Subsets of Data.D. Maclaurin, and R. Adams. UAI, page 543-552. AUAI Press, (2014)Differentiating a Tensor Language.G. Bernstein, M. Mara, T. Li, D. Maclaurin, and J. Ragan-Kelley. CoRR, (2020)Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming.A. Paszke, D. Johnson, D. Duvenaud, D. Vytiniotis, A. Radul, M. Johnson, J. Ragan-Kelley, and D. Maclaurin. CoRR, (2021)Parallel Algebraic Effect Handlers.N. Xie, D. Johnson, D. Maclaurin, and A. Paszke. CoRR, (2021)Parallelism-preserving automatic differentiation for second-order array languages.A. Paszke, M. Johnson, R. Frostig, and D. Maclaurin. FHPNC@ICFP, page 13-23. ACM, (2021)Automatically batching control-intensive programs for modern accelerators.A. Radul, B. Patton, D. Maclaurin, M. Hoffman, and R. Saurous. MLSys, mlsys.org, (2020)You Only Linearize Once: Tangents Transpose to Gradients.A. Radul, A. Paszke, R. Frostig, M. Johnson, and D. Maclaurin. Proc. ACM Program. Lang., 7 (POPL): 1246-1274 (January 2023)PartIR: Composing SPMD Partitioning Strategies for Machine Learning.S. Alabed, B. Chrzaszcz, J. Franco, D. Grewe, D. Maclaurin, J. Molloy, T. Natan, T. Norman, X. Pan, A. Paszke and 6 other author(s). CoRR, (2024)Gradient-based Hyperparameter Optimization through Reversible LearningD. Maclaurin, D. Duvenaud, and R. Adams. (2015)cite arxiv:1502.03492Comment: 10 figures. Submitted to ICML.Automatically Batching Control-Intensive Programs for Modern Accelerators.A. Radul, B. Patton, D. Maclaurin, M. Hoffman, and R. Saurous. CoRR, (2019)

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Gradient-based Hyperparameter Optimization through Reversible Learning

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Disambiguation of "Maclaurin, Dougal"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Gradient-based Hyperparameter Optimization through Reversible Learning

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Gradient-based Hyperparameter Optimization through Reversible Learning