One World Approximate Bayesian Computation

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 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 here.

Season 5 -- 2023/2024

	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	VideoLink 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		VideoLink 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		VideoLink 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		VideoLink opens in a new window
02.05.2024	Francesca CrucinioLink opens in a new window	A connection between Tempering and Entropic Mirror DescentLink opens in a new window	AbstractLink opens in a new window
30.05.2024	Mark BeaumontLink opens in a new window	Model misspecification in population genomic	AbstractLink opens in a new window	SlidesLink opens in a new window	VideoLink opens in a new window

Season 4 -- 2022/2023

Organising Committee: Richard Everitt, Link opens in a new window Michael Gutmann, Link opens in a new window Antonietta Mira, Link opens in a new window Umberto Picchini, Link opens in a new window Link opens in a new window Dennis Prangle, Link opens in a new window Christian Robert, Link opens in a new window Massimiliano TamborrinoLink opens in a new window

	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 (Richard Everitt, Link opens in a new window Michael Gutmann,Link opens in a new window Antonietta Mira, Link opens in a new window Umberto Picchini, Link opens in a new window Dennis Prangle, Link opens in a new window Christian Robert, Link opens in a new window Massimiliano TamborrinoLink opens in a new window).

	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	AbstractLink opens in a new window	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 window Paul Fearnhead,Link opens in a new window Gael MartinLink opens in a new windowand Judith Rousseau also served as One World ABC Organisers (

(Richard Everitt, Link opens in a new window Michael Gutmann, Link opens in a new window Antonietta Mira, Link opens in a new window Umberto Picchini, Link opens in a new window Dennis Prangle, Link opens in a new window Christian Robert, Link opens in a new window Massimiliano TamborrinoLink opens in a new window).

Date	Speaker	Title	Abstract	Slides	Video
27.05.2021	Veronika RockovaLink opens in a new window	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	Jakob MackeLink opens in a new window	Simulation-based inference for neuroscience (and beyond)	AbstractLink opens in a new window		Recorded talkLink opens in a new window
25.03.2021	Mijung ParkLink opens in a new window	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	Gaussian process enhanced semi-automatic ABC for inference in a stochastic differential equation system for chemotaxisLink 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

(Richard Everitt,Link opens in a new window Michael Gutmann, Link opens in a new window Antonietta Mira,Link opens in a new window Umberto Picchini, Link opens in a new window Dennis Prangle, Link opens in a new window Christian Robert,Link opens in a new window Massimiliano TamborrinoLink opens in a new window).

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	Focused Bayesian PredictionLink 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

Department of Statistics