<div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div><font face="monospace">********************************************************************************<br>|                                                                              |<br>|         The 2nd International Workshop on Machine Learning Techniques        |<br>|                    for Programming Languages (ML4PL '18)                     |<br>|                                                                              |<br>|                    July 18th 2018, Amsterdam, Netherlands                    |<br>|                        Collocated with ECOOP & ISSTA                         |<br>|                                                                              |<br>********************************************************************************<br><br>A workshop on machine learning techniques applied to programming language-related<br>research and development. This workshop puts an emphasis on identifying open problem<br>rather than presenting solution, and encourages discussion amongst the participants.<br>Attendance will be limited to ensure that meeting retains an interactive character.<br><br>Workshop web-site: <a href="https://conf.researchr.org/track/ecoop-issta-2018/ML4PL-2018-papers" target="_blank">https://conf.researchr.org/track/ecoop-issta-2018/ML4PL-2018-papers</a><br>Submission web-site: <a href="https://ml4pl18.hotcrp.com/" target="_blank">https://ml4pl18.hotcrp.com/</a><br><br>********************************** SCOPE ***********************************<br><br>Over the last years, we have seen a rapid growth in the use of machine-learning<br>technologies in programming languages and systems. This growth is driven by the<br>need to design programming languages to analyze, detect patterns, and make sense<br>of Big Data, along with the increasing complexity of programming language tools,<br>including analyzers and compilers, and computer architectures. The scale of<br>complexity in available unstructured data and system tools has reached a stage<br>where simple heuristics and solutions are no longer feasible or do not deliver<br>adequate performance. At the same time, statistical and machine learning techniques<br>have become mainstream.<br><br>This workshop is a broad forum to bring together researchers with interests in the<br>intersection of programming languages and system tools with machine learning.<br><br>Topics of interest include (but are not limited to):<br><br>* Program analysis + machine learning<br>* Programming languages + machine learning<br>* Compiler optimizations + machine learning<br>* Computer architecture + machine learning<br>* Probabilistic programming languages<br>* Design space exploration<br><br>Submissions should take the form of talk abstract or 2-page problem statements.<br>Materials of accepted talks will be published in ACM DL.<br><br>---------------<br>IMPORTANT DATES<br>---------------<br><br>Submission deadline: Wednesday, May 18th, 2018, AOE<br>Notification (tentative): Monday, June 1st, 2018<br>ML4PL Workshop: Wednesday, July 18th, 2018<br><br>-----------------<br>PROGRAM COMMITTEE<br>-----------------<br><br>* Miltiadis Allamanis (Microsoft Research, Cambridge, United Kingdom)<br>* Lasse Blaauwbroek (Czech Institute for Informatics Robotics and Cybernetics,<br>                     Czech Republic)<br>* Yoav Goldberg (Bar Ilan University, Israel)<br>* Georgy Lukyanov (Newcastle University, United Kingdom)<br>* Alex Polozov (Microsoft Research, United States)<br>* Mark Santolucito (Yale University, United States)<br>* Meital Zilberstein (Technion, Israel)<br><br>------------------------------<br>ORGANIZING COMMITTEE & CONTACT<br>------------------------------<br><br>* Hila Peleg (Technion, Israel)<br>* Artem Pelenitsyn (Czech Technical University in Prague, Czech Republic)<br><br>Please, address any questions to Artem (<a href="mailto:a.pelenitsyn@gmail.com" target="_blank">a.pelenitsyn@gmail.com</a>)</font><br></div></div></div></div>