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Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages.

W. Jitkrittum, A. Gretton, N. Heess, S. Eslami, B. Lakshminarayanan, D. Sejdinovic, and Z. Szabó. CoRR, (2015)

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Nidish Narayanaa Balaji University of Stuttgart

Other publications of authors with the same name

Mondrian Forests: Efficient Online Random Forests.B. Lakshminarayanan, D. Roy, and Y. Teh. CoRR, (2014)Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server.L. Hasenclever, S. Webb, T. Lienart, S. Vollmer, B. Lakshminarayanan, C. Blundell, and Y. Teh. J. Mach. Learn. Res., (2017)Distributed Bayesian Posterior Sampling via Moment Sharing.M. Xu, B. Lakshminarayanan, Y. Teh, J. Zhu, and B. Zhang. NIPS, page 3356-3364. (2014)Learning from Delayed Outcomes with Intermediate Observations.T. Mann, S. Gowal, R. Jiang, H. Hu, B. Lakshminarayanan, and A. György. CoRR, (2018)Approximate Inference with the Variational Holder Bound.G. Bouchard, and B. Lakshminarayanan. CoRR, (2015)Latent IBP Compound Dirichlet Allocation.C. Archambeau, B. Lakshminarayanan, and G. Bouchard. IEEE Trans. Pattern Anal. Mach. Intell., 37 (2): 321-333 (2015)Do Deep Generative Models Know What They Don't Know?E. Nalisnick, A. Matsukawa, Y. Teh, D. Görür, and B. Lakshminarayanan. ICLR (Poster), OpenReview.net, (2019)Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step.W. Fedus, M. Rosca, B. Lakshminarayanan, A. Dai, S. Mohamed, and I. Goodfellow. ICLR (Poster), OpenReview.net, (2018)Robust Bayesian Matrix Factorisation.B. Lakshminarayanan, G. Bouchard, and C. Archambeau. AISTATS, volume 15 of JMLR Proceedings, page 425-433. JMLR.org, (2011)Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems.T. Mann, S. Gowal, A. György, H. Hu, R. Jiang, B. Lakshminarayanan, and P. Srinivasan. ICML, volume 97 of Proceedings of Machine Learning Research, page 4324-4332. PMLR, (2019)

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Disambiguation of "Lakshminarayanan, Balaji"

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Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages.

Please choose a person to relate this publication to

Nidish Narayanaa Balaji University of Stuttgart

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PUMA

Disambiguation of "Lakshminarayanan, Balaji"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages.

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Nidish Narayanaa Balaji University of Stuttgart

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Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages.