[Comp-neuro] IJCAI’15 Workshop on Sensitivity Analysis and Robustness in Probabilistic Graphical Models (2nd CFP)

Alessandro Antonucci alessandro at idsia.ch
Thu Mar 5 09:04:50 CET 2015

IJCAI’15 Workshop on Sensitivity Analysis and Robustness
in Probabilistic Graphical Models

Buenos Aires, July 25-27, 2015 - http://ipg.idsia.ch/wijcai15/

Probabilistic graphical models are important tools in machine learning
and artificial intelligence for reasoning with uncertainty. They
provide means to represent large multivariate domains compactly and to
perform sophisticated learning and reasoning efficiently. Examples of
probabilistic graphical models are Bayesian networks, Markov Random
fields, chain and factor graphs, Gaussian graphical models, to name
but a few. The quantification of these models usually requires sharp
(i.e., precise) assessments of the model local potentials and might be
subject to robustness issues. For instance, perturbations of some
parameter values may lead to different decisions from those which
would be achieved by the unperturbed model, suggesting that decisions
are not reliable. Reliability might also be in question because of
missing data and assumptions behind the process.

The workshop invites submissions of papers on all aspects of sensitivity
analysis and robustness in probabilistic graphical models. Contributions
may have a theoretical focus and/or an applied focus. A non-exhaustive
list of topics follows.

- Local and/or global sensitivity analysis.
- Parameter-based and/or decision-based sensitivity analysis.
- Design of robust learning, inference and/or decision making approaches.
- Robust analysis and design of robustness measurements.
- Extensions of probabilistic graphical models.
- Reliable qualitative learning and reasoning.
- Robust treatment of missing data.
- Imprecise probability and other theories related to sensitivity analysis.
- Computational complexity, exact and approximate algorithms.

Each submission will be reviewed by peers using a double-blind process
(please use the third person in self citations and take all necessary
care not to identify yourselves). Accepted papers will be published
electronically in a volume of the JMLR Workshop and Conference
Proceedings series. There will be no rebuttal phase, but contributions
considered worth publishing and needing substantial revision might be
subject to a second round of reviewing/evaluation. All accepted papers
will be presented at the workshop. At least one of the paper's authors
should register and attend the workshop to present the work.

Submissions must be formatted according to style and template files
available for the Journal of Machine Learning Research (JMLR) Workshop and
Conference Proceedings - two-column version. The files are available at
http://ipg.idsia.ch/wijcai15/sarpgm15.tar.gz. Papers (including figures,
tables, references, etc) are expected to have between 6 and 10 pages.

Apr 27, 2015 - Deadline for submissions of contributions
May 20, 2015 - Workshop paper acceptance notification
May 30, 2015 - Deadline for workshop camera-ready copy (in case of minor
               revision; contributions needing major revision might need
               additional time - this will be arranged case by case)

Alessandro Antonucci*, IDSIA, Switzerland.
Alessio Benavoli, IDSIA, Switzerland.
Cassio P. de Campos*, Queen's University Belfast, UK.
Arthur Choi, University of California, Los Angeles, USA.
Giorgio Corani*, IDSIA, Switzerland.
Fabio Cozman, University of Sao Paulo, Brazil.
Adnan Darwiche, University of California, Los Angeles, USA.
Sebastien Destercke, Univ. de Technologie de Compiegne, France.
Marek Druzdzel, University of Pittsburgh, USA.
Johan Kwisthout, Radboud University Nijmegen, The Netherlands.
Agnieszka Onisko, Bialystok University of Technology, Poland.
Denis Maua, University of Sao Paulo, Brazil.
Serafin Moral, Universidad de Granada, Spain.
Silja Renooij, Universiteit Utrecht, The Netherlands.
Matthias Troffaes, University of Durham, UK.
(*: Workshop organizers.)

More details about the submission procedure are available online.
(We apologize in case you receive multiple copies of this
announcement, but yet we hope to reach the greatest possible
number of people. Finding a trade-off is not an easy task.)

Alessandro Antonucci
Dalle Molle Institute
for Artificial Intelligence
Via Cantonale (Galleria 2)
CH-6928, Manno-Lugano, CH

mail: alessandro at idsia.ch
skype: alessandro.antonucci
tel: +41 916108515
web: www.idsia.ch/~alessandro

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