[PlanetKR] 5th Workshop on Statistical Relational AI @ UAI 2015 CFP

Mathias Niepert mniepert at cs.washington.edu
Sun May 17 01:01:22 EST 2015

*Deadline Extension* 5th Workshop on Statistical Relational AI @ UAI 2015

** Due to numerous requests the deadline for submissions has been
extended until May 29th. **

** We also encourage submissions of work that has been accepted at
other conferences. **


UAI-15 Workshop on Statistical Relational Artificial Intelligence
(StarAI), July 16th 2015, Amsterdam, The Netherlands.

Workshop Webpage: http://www.starai.org/2015

The purpose of the Statistical Relational AI (StarAI) workshop is to
bring together researchers and practitioners from two fields: logical
(or relational) AI and probabilistic (or statistical) AI. These fields
share many key features and often solve similar problems and tasks.
Until recently, however, research in them has progressed independently
with little or no interaction. The fields often use different
terminology for the same concepts and, as a result, keeping-up and
understanding the results in the other field is cumbersome, thus
slowing down research. Our long term goal is to change this by
achieving a synergy between logical and statistical AI. As a stepping
stone towards realizing this big picture view on AI, we are organizing
the Fifth International Workshop on Statistical Relational AI at the
Thirty-First Conference on Uncertainty in Artificial Intelligence


StarAI will be a one day workshop with around 50 attendees, paper
presentations and poster spotlights, a poster session, and three
invited speakers.
Those interested in attending should submit either a technical paper
(AAAI style, 6 pages maximum) or a position statement (AAAI style, 2
pages maximum) in PDF format via the following EasyChair site:


Key Dates:
  * Papers due:       May  29, 2015
  * Notification:       June 15, 2015
  * Camera-ready due: July 1, 2015
  * Day of Workshop:  July 16, 2015

All submitted papers will be carefully peer-reviewed by multiple
reviewers and low-quality or off-topic papers will be rejected. Papers
will be selected either for a short oral presentation or a poster
For more information, please see the workshop website: http://www.starai.org/


Chris Re (Stanford, USA)
Kristian Kersting (TU Dortmund, Germany)
Sebastian Riedel (UCL, GB)
Dan Roy (University of Toronto, Canada)


StarAI is currently provoking a lot of new research and has tremendous
theoretical and practical implications. Theoretically, combining logic
and probability in a unified representation and building
general-purpose reasoning tools for it has been the dream of AI,
dating back to the late 1980s. Practically, successful StarAI tools
will enable new applications in several large, complex real-world
domains including those involving big data, social networks, natural
language processing, bioinformatics, the web, robotics and computer
vision. Such domains are often characterized by rich relational
structure and large amounts of uncertainty. Logic helps to effectively
handle the former while probability helps her effectively manage the
latter. We seek to invite researchers in all subfields of AI to attend
the workshop and to explore together how to reach the goals imagined
by the early AI pioneers.

The focus of the workshop will be on general-purpose representation,
reasoning and learning tools for StarAI as well as practical
applications. Specifically, the workshop will encourage active
participation from researchers in the following communities:
satisfiability (SAT), knowledge representation (KR), constraint
satisfaction and programming (CP), (inductive) logic programming (LP
and ILP), graphical models and probabilistic reasoning (UAI),
statistical learning (NIPS and ICML), graph mining (KDD and ECML PKDD)
and probabilistic databases (VLDB and SIGMOD). It will also actively
involve researchers from more applied communities, such as natural
language processing (ACL and EMNLP), information retrieval (SIGIR, WWW
and WSDM), vision (CVPR and ICCV), semantic web (ICSW and ESWC) and
robotics (RSS and ICRA).


Guy Van den Broeck (UCLA, KU Leuven, guyvdb at cs.ucla.edu)
Mathias Niepert (Univeristy of Washington, mniepert at cs.washington.edu)
Sriraam Natarajan (Indiana University, natarasr at indiana.edu)
David Poole (University of British Columbia, poole at cs.ubc.ca)

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