AABI 2023 Symposium Submissions

Online Laplace Model Selection Revisited
Jihao Andreas Lin, Javier Antoran, José Miguel Hernández-Lobato
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Independent Mechanism Analysis in GPLVMs
Patrik Reizinger, Han-Bo Li, Aditya Ravuri, Ferenc Huszár, Neil D Lawrence
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Variational Bayes Made Easy
Mohammad Emtiyaz Khan
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Clustering inconsistency for Pitman--Yor mixture models with a prior on the precision but fixed discount parameter
Caroline Lawless, Julyan Arbel, Louise Alamichel, Guillaume KON KAM KING
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning
Matthew Ashman, Tommy Rochussen, Adrian Weller
- Published: 20 Jun 2023, Last Modified: 19 Jul 2023
- AABI 2023
- Readers: Everyone
Neural Adaptive Smoothing via Twisting
Michael Y. Li, Dieterich Lawson, Scott Linderman
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
Ying Wang, Tim G. J. Rudner, Andrew Gordon Wilson
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Approximate inference by broadening the support of the likelihood
Michael Wojnowicz, Martin D Buck, Michael C Hughes
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics
Rafael Orozco, Ali Siahkoohi, Mathias Louboutin, Felix Johan Herrmann
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Variational Bayesian Last Layers
James Harrison, John Willes, Jasper Snoek
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Automatically Marginalized MCMC in Probabilistic Programming
Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Long-tailed Classification from a Bayesian-decision-theory Perspective
Bolian Li, Ruqi Zhang
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
Yucen Lily Li, Tim G. J. Rudner, Andrew Gordon Wilson
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
How to Train Your FALCON: Learning Log-Concave Densities with Energy-Based Neural Networks
Alexander Lin, Demba E. Ba
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Variational Prediction
Alexander A Alemi, Ben Poole
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Individual Fairness in Bayesian Neural Networks
Alice Doherty, Matthew Robert Wicker, Luca Laurenti, Andrea Patane
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
A Dual Control Variate for accelerated black-box variational inference
Xi Wang, Tomas Geffner, Justin Domke
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Improving Continual Learning by Accurate Gradient Reconstructions of the Past
Erik Daxberger, Siddharth Swaroop, Kazuki Osawa, Rio Yokota, Richard E Turner, José Miguel Hernández-Lobato, Mohammad Emtiyaz Khan
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks
Alexander Möllers, Alexander Immer, Elvin Isufi, Vincent Fortuin
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Linearized Laplace Inference in Neural Additive Models
Kouroche Bouchiat, Alexander Immer, Hugo Yèche, Vincent Fortuin
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
Jack Simons, Louis Sharrock, Song Liu, Mark Beaumont
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Indirect Functional Bayesian Neural Networks
Mengjing Wu, Junyu Xuan, Jie Lu
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization
Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Vincent Fortuin
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Balancing Simulation-based Inference for Conservative Posteriors
Arnaud Delaunoy, Benjamin Kurt Miller, Patrick Forré, Christoph Weniger, Gilles Louppe
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone
Sample Average Approximation for Black-Box VI
Javier Burroni, Justin Domke, Daniel Sheldon
- Published: 20 Jun 2023, Last Modified: 18 Jul 2023
- AABI 2023
- Readers: Everyone