Workshop - Approximate Bayesian Computation (ABC) in Grenoble, March 19th-20th 2020

[Julyan Arbel]

The ABC in ... workshop series continues in Grenoble, France, on March 

19-20 2020. We are still accepting contributions for oral presentations 

and posters, the deadline for submissions is on Feb. 21.

The workshop is free but registration is mandatory. Register on the website:

https://sites.google.com/view/abc-in-grenoble/

Confirmed speakers and sessions (more to come) are:

Misspecified models

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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)

Neural network related techniques

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Flora Jay (Université Paris-Saclay, France) Deep learning for population 

size history inference: design, comparison and combination with 

approximate Bayesian computation

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)

Advanced computational techniques

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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) Distilling importance sampling

Hien D. Nguyen (La Trobe University, Melbourne, Victoria, Australia) 

ABC via the Energy Statistic (joint with Julyan Arbel, Hongliang Lü, Florence Forbes)

Best regards,

Julyan Arbel, Simon Barthelmé, Florences Forbes