PLDI 2019 Workshops
40th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2019)
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3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages (MAPL 2019), June 22, 2019, Phoenix, AZ, USA

MAPL 2019 – Proceedings

 Contents - Abstracts - Authors

3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages (MAPL 2019)

Frontmatter

Title Page
Welcome from the Chairs

Papers

Machine Learning in Python with No Strings Attached
Guillaume Baudart, Martin Hirzel, Kiran Kate, Louis Mandel, and Avraham Shinnar
(IBM Research, USA)
Publisher's Version
Triton: An Intermediate Language and Compiler for Tiled Neural Network Computations
Philippe Tillet, H. T. Kung, and David Cox
(Harvard University, USA; IBM, USA)
Publisher's Version Info
HackPPL: A Universal Probabilistic Programming Language
Jessica Ai, Nimar S. Arora, Ning Dong, Beliz Gokkaya, Thomas Jiang, Anitha Kubendran, Arun Kumar, Michael Tingley, and Narjes Torabi
(Facebook, USA)
Publisher's Version
Neural Query Expansion for Code Search
Jason Liu, Seohyun Kim, Vijayaraghavan Murali, Swarat Chaudhuri, and Satish Chandra
(Facebook, USA; Rice University, USA)
Publisher's Version
A Case Study on Machine Learning for Synthesizing Benchmarks
Andrés Goens, Alexander Brauckmann, Sebastian Ertel, Chris Cummins, Hugh Leather, and Jeronimo Castrillon
(TU Dresden, Germany; University of Edinburgh, UK)
Publisher's Version

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