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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
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Results
Found 26 publication records. Showing 26 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Cheng Zhang 0005, Francisco J. R. Ruiz, Thang D. Bui, Adji Bousso Dieng, Dawen Liang (eds.) |
Symposium on Advances in Approximate Bayesian Inference, AABI 2019, Vancouver, BC, Canada, December 8, 2019.  |
AABI  |
2020 |
DBLP BibTeX RDF |
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| 1 | Vidhi Lalchand, Carl Edward Rasmussen |
Approximate Inference for Fully Bayesian Gaussian Process Regression. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Lily H. Zhang, Michael C. Hughes |
Rapid Model Comparison by Amortizing Across Models. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | He Jia, Uros Seljak |
Normalizing Constant Estimation with Gaussianized Bridge Sampling. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Prateek Jaiswal, Harsha Honnappa, Vinayak A. Rao |
Variational Bayesian Methods for Stochastically Constrained System Design Problems. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Michael Pearce |
The Gaussian Process Prior VAE for Interpretable Latent Dynamics from Pixels. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Mark van der Wilk, S. T. John, Artem Artemev, James Hensman |
Variational Gaussian Process Models without Matrix Inverses. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Rishit Sheth, Roni Khardon |
Pseudo-Bayesian Learning via Direct Loss Minimization with Applications to Sparse Gaussian Process Models. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Ari Pakman, Yueqi Wang, Liam Paninski |
Neural Permutation Processes. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Chao Ma 0019, Sebastian Tschiatschek, Yingzhen Li, Richard E. Turner, José Miguel Hernández-Lobato, Cheng Zhang 0005 |
HM-VAEs: a Deep Generative Model for Real-valued Data with Heterogeneous Marginals. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Tor Erlend Fjelde, Kai Xu, Mohamed Tarek, Sharan Yalburgi, Hong Ge |
Bijectors.jl: Flexible transformations for probability distributions. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Gonzalo E. Mena, Erdem Varol, Amin Nejatbakhsh, Eviatar Yemini, Liam Paninski |
Sinkhorn Permutation Variational Marginal Inference. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Yura Perov, Logan Graham, Kostis Gourgoulias, Jonathan G. Richens, Ciarán M. Lee, Adam Baker, Saurabh Johri |
MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Kai Xu, Hong Ge, Will Tebbutt, Mohamed Tarek, Martin Trapp 0001, Zoubin Ghahramani |
AdvancedHMC.jl: A robust, modular and e cient implementation of advanced HMC algorithms. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Alexander A. Alemi |
Variational Predictive Information Bottleneck. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Yaniv Yacoby, Weiwei Pan, Finale Doshi-Velez |
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Yu Gong, Hossein Hajimirsadeghi, Jiawei He 0001, Megha Nawhal, Thibaut Durand, Greg Mori |
Variational Selective Autoencoder. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Francisco J. R. Ruiz, Cheng Zhang 0005, Dawen Liang, Thang D. Bui (eds.) |
Symposium on Advances in Approximate Bayesian Inference, AABI 2018, Montréal, QC, Canada, December 2, 2018. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Joseph Marino, Lei Chen 0023, Jiawei He 0001, Stephan Mandt |
Improving Sequential Latent Variable Models with Autoregressive Flows. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Pavel Berkovich, Eric Perim, Wessel P. Bruinsma |
GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Ravid Shwartz-Ziv, Alexander A. Alemi |
Information in Infinite Ensembles of Infinitely-Wide Neural Networks. |
AABI |
2019 |
DBLP BibTeX RDF |
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| 1 | Xuechen Li, Ting-Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud |
Scalable Gradients and Variational Inference for Stochastic Differential Equations. |
AABI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Badr-Eddine Chérief-Abdellatif, Pierre Alquier |
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy. |
AABI |
2019 |
DBLP BibTeX RDF |
|
| 1 | Luigi Acerbi |
An Exploration of Acquisition and Mean Functions in Variational Bayesian Monte Carlo. |
AABI |
2018 |
DBLP BibTeX RDF |
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| 1 | Jan-Matthis Lueckmann, Giacomo Bassetto, Theofanis Karaletsos, Jakob H. Macke |
Likelihood-free inference with emulator networks. |
AABI |
2018 |
DBLP BibTeX RDF |
|
| 1 | Badr-Eddine Chérief-Abdellatif |
Consistency of ELBO maximization for model selection. |
AABI |
2018 |
DBLP BibTeX RDF |
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Displaying result #1 - #26 of 26 (100 per page; Change: )
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