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Workshop
"How Big is Big Enough?'' Adjusting Model Size in Continual Gaussian Processes
Guiomar Pescador-Barrios · Sarah Filippi · Mark van der Wilk
Poster
Thu 11:00 VISA: Variational Inference with Sequential Sample-Average Approximations
Heiko Zimmermann · Christian Andersson Naesseth · Jan-Willem van de Meent
Workshop
MRI Parameters Mapping via Variational Inference
Moucheng Xu · Yukun Zhou · Tobias Goodwin-Allcock · Kimia Firoozabadi · Joseph Jacob · Daniel Alexander · Paddy Slator
Workshop
Variational Inference for Interacting Particle Systems with Discrete Latent States
Giosue Migliorini · Padhraic Smyth
Poster
Fri 16:30 EigenVI: score-based variational inference with orthogonal function expansions
Diana Cai · Chirag Modi · Charles Margossian · Robert Gower · David Blei · Lawrence Saul
Workshop
Inverse-Free Sparse Variational Gaussian Processes
Stefano Cortinovis · Stefanos Eleftheriadis · Laurence Aitchison · James Hensman · Mark van der Wilk
Workshop
Using Variational Autoencoding to Infer the Masses of Exoplanets Embedded in the Disks of Gas and Dust Orbiting Young Stars
Sayed Mahmud · Ramit Dey · Sayantan Auddy · Neal Turner · Jeffrey Bary
Poster
Thu 11:00 TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing
Junxi Xiao · Qinliang Su
Workshop
Data-Efficient Variational Mutual Information Estimation via Bayesian Self-Consistency
Desi R Ivanova · Marvin Schmitt · Stefan Radev
Poster
Thu 11:00 Practical Shuffle Coding
Julius Kunze · Daniel Severo · Jan-Willem van de Meent · James Townsend
Workshop
Variational Diffusion Unlearning: a variational inference framework for unlearning in diffusion models
Subhodip Panda · M S Varun · Shreyans Jain · Sarthak Kumar Maharana · Prathosh AP
Workshop
Scalable Permutation Invariant Multi-Output Gaussian Processes for Cancer Drug Response
Leiv Rønneberg · Vidhi Lalchand