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One World Approximate Bayesian Computation (ABC) Seminar

Season 3 is on its way, starting at the end of September!


Inspired by the "One World Probability Seminar", in April 2020 we decided to run the One World Approximate Bayesian Computation (ABC) Seminar, a (now) monthly series of seminars that will take place on Zoom on Thursdays at 11.30am [UK time]. The idea is to gather members and disseminate results and innovation during these weeks and months under lockdown.

How it works and mailing list

All webinars will be held on Zoom, with a link shared on the email sent via the mailing list. So if you are interested in the ABC world seminar and would like to hear from us fortnightly about the announced speaker, title and abstract and, most importantly, be able to join the talk, please register here.

Season 3 -- 2021/2022

Date Speaker Title Abstract Slides Video
30.09.2021 Matias Quiroz Spectral Subsampling MCMC for Stationary Multivariate Time Series Abstract Slides

Recorded Talk

28.10.2021 Michael Gutmann Neural Approximate Sufficient Statistics Abstract Slides Recorded Talk
25.11.2021 Clara Grazian PET-ABC: A Bayesian likelihood-free tool for kinetic models Abstract    
1.30pm UK time!!
Rafael Izbicki        

Season 2 -- 2020/2021

This is the list of confirmed speakers, which will be continuously updated.

Date Speaker Title Abstract Slides Video

Metropolis-Hastings via Classification

Abstract   Recorded Talk
29.04.2021 Simulation-based inference for neuroscience (and beyond) Abstract   Recorded talk
25.03.2021 ABCDP: Approximate Bayesian Computation with Differential Privacy Abstract Slides Recorded Talk
10.12.2020 Matti Vihola On the use of ABC-MCMC with inflated tolerance and post-correction Abstract Slides Recorded Talk
12.11.2020 David Nott Marginally-calibrated deep distributional regression Abstract Slides Recorded talk
29.10.2020 Agnieszka Borowska Abstract Slides Recorded talk
10.30 UK time!!
David Frazier

Robust and Efficient Approximate Bayesian Computation: A Minimum Distance Approach Abstract Sides Recorded talk
01.10.2020 Marko Järvenpää Batch simulations and uncertainty quantification in Gaussian process surrogate ABC Abstract Slides Recorded talk
17.09.2020 Flora Jay and Théophile Sanchez Deep learning for population size history inference: design, comparison and combination with approximate Bayesian computation Abstract Slides Recorded talk

Pierre-Alexandre Mattei and Samuel Wiqvist 

Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation Abstract Slides Recorded talk

    Season 1 -- 2020

    Date Speakers Title Abstract Slides Video


    Ruth Baker Multi-fidelity Approximate Bayesian computation Abstract Slides Video


    Chris Drovandi Improving Bayesian Synthetic Likelihood via Transformations Abstract Slides Video


    Hien Duy Nguyen Approximate Bayesian computation via the energy statistic


    Slides Video


    Irene Tubikanec Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs Abstract Slides Video


    Gael Martin Abstract Slides Video


    Umberto Picchini Stratified sampling and bootstrapping for approximate Bayesian computation Abstract Slides Video
    23.04.2020 Ivis Kerama and Richard Everitt Rare event ABC-SMC^2 Abstract Slides Video
    09.04.2020 Dennis Prangle Distilling importance sampling Abstract Slides Video

    Other One World Seminars