CALL FOR PAPERS
NIPS 2014 Workshop: ABC in Montreal
December 12 or 13, 2014
Montreal, Quebec, Canada
Approximate Bayesian computation (ABC) or likelihood-free (LF) methods have
developed mostly beyond the radar of the machine learning community, but are
important tools for a large segment of the scientific community. This is
particularly true for systems and population biology, computational psychology,
computational chemistry, etc. Recent work has both applied machine learning
models and algorithms to general ABC inference (NN, forests, GPs) and ABC
inference to machine learning (e.g. using computer graphics to solve computer
vision using ABC). In general, however, there is significant room for
collaboration between the two communities.
The workshop will consist of invited and contributed talks, poster spotlights,
and a poster session. Rather than a panel discussion we will encourage open
discussion between the speakers and the audience!
Examples of topics of interest in the workshop include (but are not limited to):
* Applications of ABC to machine learning, e.g., computer vision, inverse
problems
* ABC in Systems Biology, Computational Science, etc
* ABC Reinforcement Learning
* Machine learning simulator models, e.g., NN models of simulation responses,
GPs etc.
* Selection of sufficient statistics
* Online and post-hoc error
* ABC with very expensive simulations and acceleration methods (surrogate
modeling, choice of design/simulation points)
* ABC with probabilistic programming
* Posterior evaluation of scientific problems/interaction with scientists
* Post-computational error assessment
* Impact on resulting ABC inference
* ABC for model selection
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Submission:
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We invite submissions in NIPS 2014 format with a maximum of 4 pages, excluding
references. Anonymity is not required. Relevant works that have been recently
published or presented elsewhere are allowed, provided that previous
publications are explicitly acknowledged. Please submit papers in PDF format
abcinmontr...@gmail.com .
===============
ISBA@NIPS
===============
This workshop has been endorsed by ISBA. As part of their sponsorship, ISBA
will be awarding a limited number of travel awards to PhD students and young
researchers. The organizing committee may nominate particularly strong
submissions for this award.
In addition to the general ISBA endorsement, ABC in Montreal has been endorsed
by the BayesComp section of ISBA.
================
Important Dates:
================
Submission Deadline: October 9, 2014
Author Notification: October 26, 2014
Workshop: December 12 or 13, 2014
=================
Invited Speakers:
=================
Michael Blum, Laboratoire TIMC-IMAG
Juliane Liepe, Imperial College London
Vikash Mansinghka, MIT
Frank Wood, Oxford
===========
Organizers:
===========
Neil Lawrence, University of Sheffield
Ted Meeds, University of Amsterdam
Christian Robert, Université Paris-Dauphine
Max Welling, University of Amsterdam
Richard Wilkinson, University of Nottingham
Contact:
The organizers can be contacted at abcinmontr...@gmail.com.
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