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Workshop
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Sat 1:20
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Contributed: Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg
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Poster
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Wed 2:30
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VITS : Variational Inference Thompson Sampling for contextual bandits
Pierre Clavier · Tom Huix · Alain Oliviero Durmus
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Workshop
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Learning Optimal Filters Using Variational Inference
Enoch Luk · Eviatar Bach · Ricardo Baptista · Andrew Stuart
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Workshop
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Fri 4:00
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Learning Optimal Filters Using Variational Inference
Enoch Luk · Eviatar Bach · Ricardo Baptista · Andrew Stuart
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Poster
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Tue 2:30
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Logistic Variational Bayes Revisited
Michael Komodromos · Marina Evangelou · Sarah Filippi
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Poster
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Thu 2:30
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Understanding Stochastic Natural Gradient Variational Inference
Kaiwen Wu · Jacob Gardner
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Workshop
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Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij · Yingheng Wang · Volodymyr Kuleshov
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Workshop
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Variational Inference with Censored Gaussian Process Regressors
Andrea Karlova · Rishabh Kabra · Daniel Augusto de Souza · Brooks Paige
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Poster
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Wed 4:30
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Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks
Yunfei Long · Zilin Tian · Liguo Zhang · Huosheng Xu
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Workshop
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Reliability Thresholds for the Bethe Free Energy Approximation
Harald Leisenberger · Christian Knoll · Franz Pernkopf
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Poster
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Thu 4:30
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Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
Tom Huix · Anna Korba · Alain Oliviero Durmus · Eric Moulines
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Oral
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Wed 1:45
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Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
JIAN XU · Delu Zeng · John Paisley
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