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One World Approximate Bayesian Computation (ABC) Seminar

Inspired by the "One World Probability SeminarLink opens in a new window", 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, typically 9.30am or 1.30pm [UK time]. The idea is to gather members and disseminate results and innovation during these weeks and months under lockdown.

The focus of this seminar series is not limited to ABC. Indeed, it spans over likelihood-free inference, ML related techniques, Approximate Bayesian Inference, etc. Feel free to contact any of the organisers if you want to suggest yourself or someone else for a talk.

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 monthly about the announced speaker, title and abstract and, most importantly, be able to join the talk, please register hereLink opens in a new window.

Season 3 -- 2021/2022

Next talk: Cosma Shalizi - 23rd June 2022 , 1.30pm UK time

Title: Matching Random FeaturesLink opens in a new window
Abstract: We can do statistical inference on simulation models by adjusting the parameters in the simulation so that the values of randomly chosen functions of the simulation output match the values of those same functions calculated on the data. Results from the ”statespace reconstruction” or “geometry from a time series” literature in nonlinear dynamics indicate that just 2d + 1 such functions will typically suffice to identify a model with a d-dimensional parameter space. Results from the “random features” literature in machine learning suggest that using random functions of the data can be an efficient replacement for using optimal functions. In this talk, I sketch some of the key results, present numerical evidence about the new method’s properties, and lay out an agenda for research.
Reference: C. Shalizi. A Note on Simulation-Based Inference by Matching Random Features. ArXiv:
2111.09220, 2021.

  Speaker Title Abstract Slides Video
23.06.2022
1.30pm
UK Time
Cosma ShaliziLink opens in a new window Matching Random FeaturesLink opens in a new window AbstractLink opens in a new window    
Wednesday 25.05.2022
11.30am
UK Time
Harita DellaportaLink opens in a new window Robust Bayesian Inference for Simulator-based Models via the MMD Posterior BootstrapLink opens in a new window Abstract SlidesLink opens in a new window VideoLink opens in a new window
28.04.2022 Pierre AlquierLink opens in a new window Concentration and robustness of discrepancy-based ABC AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window

31.03.2022
9.30am
UK Time

David WarneLink opens in a new window

Multifidelity multilevel Monte Carlo for approximate Bayesian computationLink opens in a new window

AbstractLink opens in a new window   Recorded TalkLink opens in a new window
24.02.2022
1.30pm UK time!!
Rafael IzbickiLink opens in a new window Likelihood-Free Frequentist Inference - Constructing Confidence Sets with Correct Conditional CoverageLink opens in a new window AbstractLink opens in a new window   Recorded talkLink opens in a new window

03.02.2022
2.30pm UK time

Yixing WangLink opens in a new window Posterior Collapse and Latent Variable Non-identifiabilityLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window  
25.11.2021 Clara GrazianLink opens in a new window PET-ABC: A Bayesian likelihood-free tool for kinetic modelsLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window Recorded TalkLink opens in a new window
28.10.2021 Michael GutmannLink opens in a new window Neural Approximate Sufficient StatisticsLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window Recorded TalkLink opens in a new window
30.09.2021 Matias QuirozLink opens in a new window Spectral Subsampling MCMC for Stationary Multivariate Time SeriesLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window

Recorded TalkLink opens in a new window

Season 2 -- 2020/2021

In Season 1 and Season 2, Ritabrata Dutta, Link opens in a new windowPaul Fearnhead,Link opens in a new windowGael MartinLink opens in a new windowand Judith Rousseaualso served as One World ABC Organisers.

Date Speaker Title Abstract Slides Video
27.05.2021

Metropolis-Hastings via ClassificationLink opens in a new window

AbstractLink opens in a new window   Recorded TalkLink opens in a new window
29.04.2021 Simulation-based inference for neuroscience (and beyond) AbstractLink opens in a new window   Recorded talkLink opens in a new window
25.03.2021 ABCDP: Approximate Bayesian Computation with Differential PrivacyLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window Recorded TalkLink opens in a new window
10.12.2020 Matti ViholaLink opens in a new window On the use of ABC-MCMC with inflated tolerance and post-correctionLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window Recorded TalkLink opens in a new window
12.11.2020 David NottLink opens in a new window Marginally-calibrated deep distributional regressionLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window Recorded talkLink opens in a new window
29.10.2020 Agnieszka BorowskaLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window Recorded talkLink opens in a new window
15.10.2020
10.30 UK time!!
David FrazierLink opens in a new window


Robust and Efficient Approximate Bayesian Computation: A Minimum Distance ApproachLink opens in a new window AbstractLink opens in a new window SidesLink opens in a new window Recorded talkLink opens in a new window
01.10.2020 Marko JärvenpääLink opens in a new window Batch simulations and uncertainty quantification in Gaussian process surrogate ABCLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window Recorded talkLink opens in a new window
17.09.2020 Flora JayLink opens in a new window and Théophile SanchezLink opens in a new window Deep learning for population size history inference: design, comparison and combination with approximate Bayesian computationLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window Recorded talkLink opens in a new window
03.09.2020

Pierre-Alexandre MatteiLink opens in a new window and Samuel WiqvistLink opens in a new window 

Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian ComputationLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window Recorded talkLink opens in a new window

    Season 1 -- 2020

    In Season 1 and Season 2, Ritabrata Dutta, Link opens in a new windowPaul Fearnhead,Link opens in a new windowGael MartinLink opens in a new windowand Judith Rousseaualso served as One World ABC Organisers.

    Date Speakers Title Abstract Slides Video

    16.07.2020

    Ruth BakerLink opens in a new window Multi-fidelity Approximate Bayesian computationLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window

    02.07.2020

    Chris DrovandiLink opens in a new window Improving Bayesian Synthetic Likelihood via TransformationsLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window

    18.06.2020

    Hien Duy NguyenLink opens in a new window Approximate Bayesian computation via the energy statisticLink opens in a new window

    AbstractLink opens in a new window

    SlidesLink opens in a new window VideoLink opens in a new window

    04.06.2020

    Irene TubikanecLink opens in a new window Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEsLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window

    21.05.2020

    Gael MartinLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window

    07.05.2020

    Umberto PicchiniLink opens in a new window Stratified sampling and bootstrapping for approximate Bayesian computationLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window
    23.04.2020 Ivis Kerama Link opens in a new windowand Richard EverittLink opens in a new window Rare event ABC-SMC^2Link opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window
    09.04.2020 Dennis PrangleLink opens in a new window Distilling importance samplingLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window

    Other One World Seminars