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Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent.

J. Lin, J. Antorán, S. Padhy, D. Janz, J. Hernández-Lobato, and A. Terenin. CoRR, (2023)

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Paritosh Padhy

Purushottam Padhye

Other publications of authors with the same name

Stochastic Gradient Descent for Gaussian Processes Done Right.J. Lin, S. Padhy, J. Antorán, A. Tripp, A. Terenin, C. Szepesvári, J. Hernández-Lobato, and D. Janz. CoRR, (2023)Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness.J. Liu, Z. Lin, S. Padhy, D. Tran, T. Bedrax-Weiss, and B. Lakshminarayanan. NeurIPS, (2020)Sampling-based inference for large linear models, with application to linearised Laplace.J. Antorán, S. Padhy, R. Barbano, E. Nalisnick, D. Janz, and J. Hernández-Lobato. CoRR, (2022)A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection.J. Ren, S. Fort, J. Liu, A. Roy, S. Padhy, and B. Lakshminarayanan. CoRR, (2021)Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent.J. Lin, J. Antorán, S. Padhy, D. Janz, J. Hernández-Lobato, and A. Terenin. CoRR, (2023)Sampling-based inference for large linear models, with application to linearised Laplace.J. Antorán, S. Padhy, R. Barbano, E. Nalisnick, D. Janz, and J. Hernández-Lobato. ICLR, OpenReview.net, (2023)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)Revisiting One-vs-All Classifiers for Predictive Uncertainty and Out-of-Distribution Detection in Neural Networks.S. Padhy, Z. Nado, J. Ren, J. Liu, J. Snoek, and B. Lakshminarayanan. CoRR, (2020)A Generative Model of Symmetry Transformations.J. Allingham, B. Mlodozeniec, S. Padhy, J. Antorán, D. Krueger, R. Turner, E. Nalisnick, and J. Hernández-Lobato. CoRR, (2024)A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness.J. Liu, S. Padhy, J. Ren, Z. Lin, Y. Wen, G. Jerfel, Z. Nado, J. Snoek, D. Tran, and B. Lakshminarayanan. J. Mach. Learn. Res., (2023)

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Disambiguation of "Padhy, Shreyas"

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Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent.

Please choose a person to relate this publication to

Paritosh Padhy

Purushottam Padhye

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Padhy, Shreyas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent.

Please choose a person to relate this publication to

Paritosh Padhy

Purushottam Padhye

Other publications of authors with the same name

Disambiguation

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URL
DOI
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APA
Chicago
DIN 1505
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Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent.