Over the past decade, we have seen ubiquitous adoption of Machine Learning (ML) models across many different application domains. In this talk, we explore the connections between ML models and programs, and argue that there are significant advantages in combining ML models with programmatic representations. We present results from our work across different Machine Learning approaches in support of this hypothesis, including Supervised Learning, Bayesian Learning, and Reinforcement Learning. In each case, we show advantages in constructing human readable and interpretable programmatic representations of ML models, and in combining tools and techniques from program analysis and program synthesis with machine learning. We conclude with opportunities in using programming language techniques to make ML models efficient, robust, interpretable, and verifiable.
Sriram Rajamani is Distinguished Scientist and Managing Director of Microsoft Research India. His research interests are in designing, building and analyzing computer systems in a principled manner. Over the years he has worked on various topics including Hardware and Software Verification, Type Systems, Language Design, Distributed Systems, Security and Privacy. His current research interest is in combining Program Synthesis and Machine Learning. Together with Tom Ball, he was awarded the CAV 2011 Award for “contributions to software model checking, specifically the development of the SLAM/SDV software model checker that successfully demonstrated computer-aided verification techniques on real programs.” Sriram was elected ACM Fellow in 2015 for contributions to software analysis and defect detection. Recently, Sriram has been elected Fellow of Indian National Academy of Engineering. Sriram has a PhD from UC Berkeley, MS from University of Virginia and BEng from College of Engineering, Guindy, all with specialization in Computer Science. Sriram was general chair for POPL 2015 in India, and was program Co-Chair for CAV 2005. He co-founded the Mysore Park Series, and the ISEC conference series in India. He serves on the CACM editorial board as co-chair for special regional sections, to bring computing innovations from around the world to CACM.
Wed 18 NovDisplayed time zone: Central Time (US & Canada) change
09:00 - 10:20
|Models and Programs: Better Togethersupported by Futurewei|
Sriram Rajamani Microsoft ResearchLink to publication