Workshop Approximate Bayesian Computation (ABC) in Grenoble

from March 19, 2020 to March 20, 2020

It is with regret that we have to cancel the ABC in Grenoble workshop due to COVID19 outbreak. The actual plan is to reschedule for a future date.
Approximate Bayesian Computation (ABC) performs inference when evaluating the likelihood function is infeasible but sampling from the model is possible. First developed in population genetics, ABC is now a well established technique in this and other diverse disciplines including infectious disease epidemiology, astrophysics and econometrics.
The ABC in Grenoble workshop will feature invited and contributed talks, and will have a poster session to further exchange and discuss recent work on the theoretical underpinnings, computational advances, and applications of approximate Bayesian computation.

Registration is now open! It is free but mandatory.

Dowload the poster


The workshop will start on Thursday 19 at 9am, and end on Friday 20 at 4pm.

Registration (see below) is free but mandatory. We will offer lunches (Thursday & Friday) and a social dinner (Thursday) on top of Bastille hill.

Confirmed speakers and sessions (more to come) are:

Misspecified models
  • Guillaume Dehaene (EPFL, Switzerland) TBA
  • Gael Martin (Monash University, Australia) Focused Bayesian Prediction (joint with Ruben Loaiza-Maya, David T. Frazier)
  • Tommaso Rigon (Duke University, USA) A generalized Bayes framework for probabilistic clustering (joint with Amy Herring and David Dunson)

Links with Machine Learning
  • Flora Jay (Université d'Orsay, France) TBA
  • Pierre-Alexandre Mattei (Inria Sophia Antipolis - Méditerranée, France) Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation (joint with Samuel Wiqvist, Umberto Picchini, Jes Frellsen)
  • Umberto Picchini (Chalmers University of Technology and University of Gothenburg, Sweden) Stratified sampling and bootstrapping for approximate Bayesian computation (joint with Richard G. Everitt)
  • Dennis Prangle (Newcastle University, UK) Scalable approximate inference for state space models with normalising flows (joint with Tom Ryder, Andrew Golightly, Isaac Matthews)


Local committee

- Julyan Arbel (Inria Grenoble Rhône-Alpes)
- Simon Barthelmé (Université Grenoble Alpes)
- Michael Blum (Université Grenoble Alpes)
- Florence Forbes (Inria Grenoble Rhône-Alpes)
- Olivier François (Université Grenoble Alpes)

Scientific committee

- Paul Fearnhead (Lancaster University)
- Michael Gutmann (University of Edinburgh)
- Gael Martin (Monash University)
- Christian Robert (Université Paris-Dauphine & University of Warwick)
- Judith Rousseau (University of Oxford)
- Scott Sisson (University of New South Wales)

Registration, call for presentations and posters

Researchers interested in giving a talk or presenting a poster are invited to submit an abstract describing their research work.

In order to promote the participation of a large number of participants, the workshop is free.


    Deadline for submissions: February 21
    Decisions: February 28
    Registration (free but mandatory): March 6

Published on March 10, 2020

Practical informations


IMAG Building - Auditorium
700 Avenue Centrale
38400 Saint-Martin-d'Hères

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