One World Approximate Bayesian Computation (ABC) Seminar

Inspired by the "One World Probability Seminar", in April 2020 we decided to run the One World Approximate Bayesian Computation (ABC) Seminar, a fortnightly series of seminars that will take place on Blackboard Collaborate 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 2 -- 2020/2021

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

Date	Speaker	Title	Abstract	Slides	Video
27.05.2021	Veronika Rockova	Metropolis-Hastings via Classification	Abstract		Recorded Talk
29.04.2021	Jakob Macke	Simulation-based inference for neuroscience (and beyond)	Abstract		Recorded talk
25.03.2021	Mijung Park	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	Gaussian process enhanced semi-automatic ABC for inference in a stochastic differential equation system for chemotaxis	Abstract	Slides	Recorded talk
15.10.2020 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
03.09.2020	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
16.07.2020	Ruth Baker	Multi-fidelity Approximate Bayesian computation	Abstract	Slides	Video
02.07.2020	Chris Drovandi	Improving Bayesian Synthetic Likelihood via Transformations	Abstract	Slides	Video
18.06.2020	Hien Duy Nguyen	Approximate Bayesian computation via the energy statistic	Abstract	Slides	Video
04.06.2020	Irene Tubikanec	Spectral density-based and measure-preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs	Abstract	Slides	Video
21.05.2020	Gael Martin	Focused Bayesian Prediction	Abstract	Slides	Video
07.05.2020	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

Organisers

Julyan Arbel
Ritabrata Dutta
Richard Everitt
Paul Fearnhead
Michael Gutmann
Gael Martin
Antonietta Mira
Umberto Picchini
Dennis Prangle
Christian Robert
Judith Rousseau
Scott Sisson
Massimiliano Tamborrino