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Deep Gaussian Processes with Importance-Weighted Variational Inference.

H. Salimbeni, V. Dutordoir, J. Hensman, and M. Deisenroth. ICML, volume 97 of Proceedings of Machine Learning Research, page 5589-5598. PMLR, (2019)

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Vincent Tejedor

Vincent Kuhn

Vincent Saderne

Vincent Liebert

Vincent Kisselbach

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Translation Insensitivity for Deep Convolutional Gaussian ProcessesV. Dutordoir, M. van der Wilk, A. Artemev, M. Tomczak, and J. Hensman. (2019)cite arxiv:1902.05888.Sparse Gaussian Processes with Spherical Harmonic Features.V. Dutordoir, N. Durrande, and J. Hensman. ICML, volume 119 of Proceedings of Machine Learning Research, page 2793-2802. PMLR, (2020)Deep Gaussian Processes with Importance-Weighted Variational Inference.H. Salimbeni, V. Dutordoir, J. Hensman, and M. Deisenroth. ICML, volume 97 of Proceedings of Machine Learning Research, page 5589-5598. PMLR, (2019)A Tutorial on Sparse Gaussian Processes and Variational Inference.F. Leibfried, V. Dutordoir, S. John, and N. Durrande. CoRR, (2020)The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs.P. Mostowsky, V. Dutordoir, I. Azangulov, N. Jaquier, M. Hutchinson, A. Ravuri, L. Rozo, A. Terenin, and V. Borovitskiy. CoRR, (2024)Scalable Thompson Sampling using Sparse Gaussian Process Models.S. Vakili, H. Moss, A. Artemev, V. Dutordoir, and V. Picheny. NeurIPS, page 5631-5643. (2021)Deep Neural Networks as Point Estimates for Deep Gaussian Processes.V. Dutordoir, J. Hensman, M. van der Wilk, C. Ek, Z. Ghahramani, and N. Durrande. NeurIPS, page 9443-9455. (2021)Deep Gaussian Process metamodeling of sequentially sampled non-stationary response surfaces.V. Dutordoir, N. Knudde, J. van der Herten, I. Couckuyt, and T. Dhaene. WSC, page 1728-1739. IEEE, (2017)Bayesian Image Classification with Deep Convolutional Gaussian Processes.V. Dutordoir, M. van der Wilk, A. Artemev, and J. Hensman. AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1529-1539. PMLR, (2020)Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation.V. Picheny, V. Dutordoir, A. Artemev, and N. Durrande. ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 431-446. Springer, (2020)

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Disambiguation of "Dutordoir, Vincent"

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Deep Gaussian Processes with Importance-Weighted Variational Inference.

Please choose a person to relate this publication to

Vincent Tejedor

Vincent Kuhn

Vincent Saderne

Vincent Liebert

Vincent Kisselbach

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Dutordoir, Vincent"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Gaussian Processes with Importance-Weighted Variational Inference.

Please choose a person to relate this publication to

Vincent Tejedor

Vincent Kuhn

Vincent Saderne

Vincent Liebert

Vincent Kisselbach

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Deep Gaussian Processes with Importance-Weighted Variational Inference.