[Dbworld] MAPL Call for Papers

The First Workshop on Machine Learning and Programming Languages (MAPL)
(https://sites.google.com/view/mapl2017/home, co-located with PLDI)
Ê
Call for Papers
Ê
Due to recent algorithmic and computational advances, machine learning has seen a surge of interest in both research and practice. From natural language processing to self-driving cars, machine learning is creating new possibilities that are changing the way we live and interact with computers. However, the impact of these advances on programming languages remains mostly untapped. Yet, incredible research opportunities exist when combining machine learning and programming languages in novel ways. MAPL seeks to bring together programming language and machine learning communities to encourage collaboration and exploration in cross disciplinary research. The workshop will include a combination of peer-reviewed papers and invited events, such as invited talks, panels and/or town hall discussions.Ê
Ê
MAPL seeks papers on a diverse range of topics related to programming languages and machine learning including:
Ê
-ÊÊÊÊÊÊÊÊProgramming languages and compilers for machine learning
-ÊÊÊÊÊÊÊÊDeep learning frameworks
-ÊÊÊÊÊÊÊÊMachine learning for compilation and run-time scheduling
-ÊÊÊÊÊÊÊÊImproving programmer productivity via machine learning
-ÊÊÊÊÊÊÊÊInductive programming
-ÊÊÊÊÊÊÊÊFormal verification of machine learning systems
-ÊÊÊÊÊÊÊÊProbabilistic programming
-ÊÊÊÊÊÊÊÊCollaborative human / computer programming
-ÊÊÊÊÊÊÊÊInteroperability of machine learning frameworks and existing code bases
Ê
Important Dates:
Ê
-ÊÊÊÊÊÊÊÊSubmission Deadline: April 3, 2017
-ÊÊÊÊÊÊÊÊAuthor Notification: April 24, 2017
-ÊÊÊÊÊÊÊÊCamera-ready Deadline: May 10, 2017
-ÊÊÊÊÊÊÊÊWorkshop: June 18, 2017
Ê
Submissions:
Ê
Papers must be submitted in PDF and be no more than 8 pages in standard two-columnÊSIGPLAN conference formatÊincluding figures and tables but not including references. Shorter submissions are welcome. The submissions will be judged based on the merit of the ideas rather than the length. Formal proceedings will be included in the ACM digital archive and available at the workshop.
Ê
General Chair:ÊTatiana Shpeisman
Program Chair:ÊJustin Gottschlich
Ê
Program Committee:ÊÊÊÊÊÊÊÊ
Raj Barik (Intel Labs)
Stefano Ermon (Stanford University)
Justin Gottschlich (Program Chair, Intel Labs)
Mary Hall (University of Utah)ÊÊÊÊÊÊÊ
Peter Hawkins (Google)ÊÊÊÊÊÊÊÊÊÊÊÊÊÊÊÊÊÊÊ
Costin Iancu (Lawrence Berkeley National Lab)
Michael OÕBoyle (University of Edinburgh)ÊÊÊÊÊÊÊÊÊÊÊÊÊÊÊÊÊÊ
Kunle Olukotun (Stanford University)
Tatiana Shpeisman (Intel Labs)
Ê
Organizing Committee:
Raj Barik (Intel Labs)
Stefano Ermon (Stanford University)
Justin Gottschlich (Intel Labs)
Costin Iancu (Lawrence Berkeley National Lab)
Kunle Olukotun (Stanford University)
Tatiana Shpeisman (Intel Labs)
Ê

_______________________________________________
Please do not post msgs that are not relevant to the database community at large.  Go to www.cs.wisc.edu/dbworld for guidelines and posting forms.
To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld