Methods › General › Optimization › Stochastic Gradient Variational Bayes
Stochastic Gradient Variational Bayes
Introduced by Diederik P. Kingma et al. in Auto-Encoding Variational Bayes
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
The archive carries no description for this method.
Papers archive 2025-07-28
20 shown of 20, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Generalized Information-theoretic Multi-view Clustering 21 Sep 2023 · 0 repositories
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Exploiting Noise as a Resource for Computation and Learning in Spiking Neural Networks 25 May 2023 · 1 repository · arXiv:2305.16044Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
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Variational Auto-Encoder Based Variability Encoding for Dysarthric Speech Recognition 24 Jan 2022 · 0 repositories · arXiv:2201.09422
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A Deep Latent Space Model for Directed Graph Representation Learning 29 Sep 2021 · 0 repositories
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A Deep Latent Space Model for Graph Representation Learning 22 Jun 2021 · 1 repository · arXiv:2106.11721
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Semi-Supervised Variational Reasoning for Medical Dialogue Generation 13 May 2021 · 1 repository · arXiv:2105.06071
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Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder 2 Feb 2021 · 0 repositories · arXiv:2102.01331
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SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations 21 Nov 2020 · 3 repositories · arXiv:2011.10684
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Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization 11 Oct 2020 · 1 repository · arXiv:2010.05244
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Gradient Boosted Normalizing Flows 27 Feb 2020 · 1 repository · arXiv:2002.11896Syntology ran 19 of 30 samples · 11 unverified
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Unsupervised Contextual Anomaly Detection using Joint Deep Variational Generative Models 1 Apr 2019 · 0 repositories · arXiv:1904.00548
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Neural Variational Hybrid Collaborative Filtering 12 Oct 2018 · 0 repositories · arXiv:1810.05376
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Variational online learning of neural dynamics 27 Jul 2017 · 1 repository · arXiv:1707.09049
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Application of SsVGMM to medical data-classification with novelty detection 15 Jul 2017 · 1 repository
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Deep Variational Bayes Filters: Unsupervised Learning of State Space Models from Raw Data 20 May 2016 · 4 repositories · arXiv:1605.06432Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
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Stick-Breaking Variational Autoencoders 20 May 2016 · 2 repositories · arXiv:1605.06197Syntology ran 0 of 1 samples · 1 unverified
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Learning Structured Output Representation using Deep Conditional Generative Models 1 Dec 2015 · 1 repository
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Deep Convolutional Inverse Graphics Network 11 Mar 2015 · 1 repository · arXiv:1503.03167
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Auto-Encoding Variational Bayes 20 Dec 2013 · 144 repositories · arXiv:1312.6114Syntology ran 112 of 199 samples · 87 unverified · 103 pointer-only (licence)
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Latent Dirichlet Allocation 1 Jan 2003 · 2 repositories
Tasks archive 2025-07-28
20 shown of 37 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections