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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 taking place the last Thursday of the month on Zoom/MS Teams, typically 9.00am [UK time]. The idea was 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 5 -- 2023/2024

In Season 5, David FrazierLink opens in a new window (Monash University) and Clara GrazianLink opens in a new window (University of Sidney) have also joined the Organising Committee of the seminar series.

  Speaker Title Abstract Slides Video

28.09.2023
9.00 am

Carlo AlbertLink opens in a new window Learning summary statistics for Bayesian inference with AutoencodersLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window

26.10.2023
1pm

Stefan RadevLink opens in a new window More expressive amortized Bayesian inference via joint learning and self-consistency?Link opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window  
30.11.2023 Yanzhi ChenLink opens in a new window Is It Necessary to Learn Summary Statistics for Likelihood-free Inference?Link opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window  
25.01.2024 Antoine LucianoLink opens in a new window Insufficient Gibbs SamplingLink opens in a new window AbstractLink opens in a new window    
29.02.2024 Joshua BonLink opens in a new window Bayesian score calibration for approximate modelsLink opens in a new window AbstractLink opens in a new window    
21.03.2024 Desi IvanovaLink opens in a new window Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design AbstractLink opens in a new window    
25.04.2024 Mark BeaumontLink opens in a new window        
30.05.2024          

Season 4 -- 2022/2023

  Speaker Title Abstract Slides Video

29.06.2023
9.30am

Yannik ShälteLink opens in a new window
Jonas ArrudaLink opens in a new window
Amortized simulation-based inference for non-linear mixed-effects models   SlidesLink opens in a new window  

27.04.2023
9.30am

Emtiyaz KhanLink opens in a new window The Bayesian Learning RuleLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window

23.02.2023
9.30am

Alexander AushevLink opens in a new window Sample-efficient inference for simulators: complex noise models and time-seriesLink opens in a new window AbstractLink opens in a new window   VideoLink opens in a new window

02.02.2023

1.30pm

Joel DyerLink opens in a new window Approximate Bayesian Computation with Path SignaturesLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window

24.11.2022
1.30pm UK time

Yuexi WangLink opens in a new window Adversarial Bayesian SimulationLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window
20.10.2022,
2.30pm UK time
Radu CraiuLink opens in a new window Bayesian Computation Strategies for Big Data and Intractable Models AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window
29.09.2022,
1.30pm Uk time
Till HoffmannLink opens in a new window Minimizing the Expected Posterior Entropy Yields Optimal Summary StatisticsLink opens in a new window AbstractLink opens in a new window SlidesLink opens in a new window VideoLink opens in a new window

Season 3 -- 2021/2022

In Seasons 1-3, Julyan ArbelLink opens in a new window and Scott SissonLink opens in a new window also served as One World ABC Organisers.

Link opens in a new windo

  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 SlidesLink opens in a new window VideoLink 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