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On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes.

A. de G. Matthews, J. Hensman, R. Turner, and Z. Ghahramani. AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 231-239. JMLR.org, (2016)

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Alexander G Höhne

Giuseppe G G Manzardo

G Lüers

G Baumann

G Dohmen

Other publications of authors with the same name

GPflow: A Gaussian process library using TensorFlowA. Matthews, M. van der Wilk, T. Nickson, K. Fujii, A. Boukouvalas, P. León-Villagrá, Z. Ghahramani, and J. Hensman. (2016)cite arxiv:1610.08733.Score-Based Diffusion meets Annealed Importance Sampling.A. Doucet, W. Grathwohl, A. de G. Matthews, and H. Strathmann. NeurIPS, (2022)Continual Repeated Annealed Flow Transport Monte Carlo.A. de G. Matthews, M. Arbel, D. Rezende, and A. Doucet. ICML, volume 162 of Proceedings of Machine Learning Research, page 15196-15219. PMLR, (2022)Scalable Variational Gaussian Process Classification.J. Hensman, A. de G. Matthews, and Z. Ghahramani. AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Functional Regularisation for Continual LearningM. Titsias, J. Schwarz, A. Matthews, R. Pascanu, and Y. Teh. (2019)cite arxiv:1901.11356Comment: 12 pages, 2 figures.Gaussian Process Behaviour in Wide Deep Neural NetworksA. Matthews, M. Rowland, J. Hron, R. Turner, and Z. Ghahramani. (2018)cite arxiv:1804.11271Comment: This work substantially extends the work of Matthews et al. (2018) published at the International Conference on Learning Representations (ICLR) 2018.Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep NetworksJ. Bradshaw, A. Matthews, and Z. Ghahramani. (2017)cite arxiv:1707.02476.On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes.A. de G. Matthews, J. Hensman, R. Turner, and Z. Ghahramani. AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 231-239. JMLR.org, (2016)MCMC for Variationally Sparse Gaussian Processes.J. Hensman, A. de G. Matthews, M. Filippone, and Z. Ghahramani. NIPS, page 1648-1656. (2015)Annealed Flow Transport Monte Carlo.M. Arbel, A. de G. Matthews, and A. Doucet. ICML, volume 139 of Proceedings of Machine Learning Research, page 318-330. PMLR, (2021)

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Disambiguation of "de G. Matthews, Alexander G."

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On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes.

Please choose a person to relate this publication to

Alexander G Höhne

Giuseppe G G Manzardo

G Lüers

G Baumann

G Dohmen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "de G. Matthews, Alexander G."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes.

Please choose a person to relate this publication to

Alexander G Höhne

Giuseppe G G Manzardo

G Lüers

G Baumann

G Dohmen

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
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APA
Chicago
DIN 1505
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MSOffice XML

On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes.