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28 Results
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Workshop
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Integrating Macromolecular X-ray Diffraction Data with Variational Inference Luis Aldama · Kevin Dalton · Doeke Hekstra |
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Workshop
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Variational Search Distributions Daniel Steinberg · Rafael Oliveira · Cheng Soon Ong · Edwin Bonilla |
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Poster
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Fri 11:00 |
Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families François Bertholom · randal douc · François Roueff |
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Poster
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Fri 16:30 |
Functional Gradient Flows for Constrained Sampling Shiyue Zhang · Longlin Yu · Ziheng Cheng · Cheng Zhang |
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Workshop
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Improved Depth Estimation of Bayesian Neural Networks Bart van Erp · Bert de Vries |
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Poster
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Fri 11:00 |
Globally Convergent Variational Inference Declan McNamara · Jackson Loper · Jeffrey Regier |
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Poster
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Fri 11:00 |
Particle Semi-Implicit Variational Inference Jen Ning Lim · Adam Johansen |
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Workshop
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Riemannian Black Box Variational Inference Mykola Lukashchuk · Wouter Nuijten · Dmitry Bagaev · Ismail Senoz · Bert de Vries |
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Poster
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Thu 16:30 |
Bayesian Online Natural Gradient (BONG) Matt Jones · Peter Chang · Kevin Murphy |
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Poster
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Thu 16:30 |
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport Peter Wijeratne · Daniel Alexander |
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Workshop
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MHP-DDP: Multivariate Hawkes Process with Dependent Dirichlet Process Alex Jiang · Abel Rodriguez |
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Workshop
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Variational Inference in Similarity Spaces: A Bayesian Approach to Personalized Federated Learning Pedro Henrique Barros · Fabricio Murai · Amir Houmansadr · Alejandro C. Frery · Heitor Filho |