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Invited Session Abstract Submission
Submission Guidelines
Abstracts should be submitted by 7 April 2025.
Please use this word template to prepare your abstract.
Download Template
Abstract should not contain more than 200 words.
There should be no more than 5 keywords.
Presenters can give at most one presentation.
Please submit your abstract only in one of the following formats: .pdf, .doc, .docx
Please name your file “First-name of Author + Last-name first character”; for example Doe Joshua, name the file as "Doe J" or "Doe_J".
Salutation*
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Mr.
Mrs.
Ms.
Mx.
Dr.
Prof.
Asst. Prof.
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First Name*
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Last Name*
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Email*
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Presentation Mode*
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Talk only
Poster only
Either
A presentation mode of "Either" means we will first consider the abstract for a talk, and then for a poster if a talk is not allocated.
Please indicate your preferred presentation mode.
Abstract's Title*
Please enter an abstract title.
For Invited Session*
INVITED SESSION
(Almost) Gradient-based Markov chain Monte Carlo Algorithms
Advanced Langevin Methods for Bayesian Sampling
Advances in efficient Bayesian inference for complex multivariate models
Advances in Heavy-Tailed Sampling: Bridging Theory and Practice
Advances in MCMC methods
Advances in Methodology for Sequential Monte Carlo in High Dimensions
Advances in Variational Inference
Approximate Methods for Accelerated Sampling
Bayesian computation in astrophysics
Bayesian Federated Learning
Comparison theory for modern MCMC methods
Computation and model criticism for highly parametrized Bayesian models
Computation-enabled Bayesian inference and prediction
Cutting Feedback: Methods and Applications in Bayesian Settings
Flexible approximate inference methods
High-dimensional discrete model search
Manifold Markov chain Monte Carlo and beyond
Simulation-based Bayesian inference: efficiency, robustness, and theoretical results
Model Misspecification in Simulation-based Inference
Optimization and Control for Sampling
Parallel Computations for Markov chain Monte Carlo
PDMPs in Practice
Recalibration methods for improved Bayesian inference from approximate models
Recent advances in Sequential Monte Carlo methods
Scalable Causal Inference
Surrogate Models and Kernel Methods
Variational Bayes for Uncertainty Quantification
Please indicate your preferred Invited Session.
Abstracts have now closed for contributed talks and posters. Please only submit an abstract if you have been invited to speak in one of these named invited sessions.
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