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32 Results
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Poster
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Tue 15:15 |
Variational Inference with Gaussian Score Matching Chirag Modi · Robert Gower · Charles Margossian · Yuling Yao · David Blei · Lawrence Saul |
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Workshop
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Sat 9:45 |
FoVAE: Reconstructive Foveation as a Self-Supervised Variational Inference Task for Visual Representation Learning Ivan Vegner · Siddharth N · Leonidas Doumas |
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Poster
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Tue 15:15 |
Compression with Bayesian Implicit Neural Representations Zongyu Guo · Gergely Flamich · Jiajun He · Zhibo Chen · José Miguel Hernández-Lobato |
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Poster
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Wed 15:00 |
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal · Kristoffer Stensbo-Smidt · Wouter Boomsma · Jes Frellsen |
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Oral
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Thu 8:15 |
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods Veit David Wild · Sahra Ghalebikesabi · Dino Sejdinovic · Jeremias Knoblauch |
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Workshop
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Variational Inference for SDEs Driven by Fractional Noise Rembert Daems · Manfred Opper · Guillaume Crevecoeur · Tolga Birdal |
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Poster
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Tue 15:15 |
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent Tianle Liu · Promit Ghosal · Krishnakumar Balasubramanian · Natesh Pillai |
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Poster
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Thu 8:45 |
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods Veit David Wild · Sahra Ghalebikesabi · Dino Sejdinovic · Jeremias Knoblauch |
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Poster
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Tue 15:15 |
NAS-X: Neural Adaptive Smoothing via Twisting Dieterich Lawson · Michael Li · Scott Linderman |
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Workshop
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DisCoV: Disentangling Time Series Representations via Contrastive based -Variational Inference Khalid OUBLAL · Said Ladjal · David Benhaiem · Emmanuel LE BORGNE · François Roueff |
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Poster
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Wed 8:45 |
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making Prateek Jaiswal · Harsha Honnappa · Vinayak Rao |
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Workshop
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DisCoV: Disentangling Time Series Representations via Contrastive based -Variational Inference Khalid OUBLAL · Said Ladjal · David Benhaiem · Emmanuel LE BORGNE · François Roueff |