Best Paper At Conference on Uncertainty in Artificial Intelligence 06-28-16

Leonard J. Schulman, Professor of Computer Science, and postdoctoral scholar Piyush Srivastava have won the best paper award at the 2016 Conference on Uncertainty in Artificial Intelligence for their paper, Stability of Casual Inference. [Read the paper]

Janet Campagna Named 2016 Distinguished Alumna 06-13-16

Janet C. Campagna (MS ’85, Social Science) has been named a 2016 Caltech Distinguished Alumna for her contributions to quantitative investment and for her leadership in the financial industry. She is the founder of QS Investors and a member of the Caltech IST Council. The information science and technology (IST) council helps increase national and global awareness of research in information science and technology as well as garner support for it. [Alumni story]

Professor Yue Receives Bloomberg Data Science Grant 06-13-16

Yisong Yue, Assistant Professor of Computing and Mathematical Sciences, is a recipient of the Bloomberg Data Science Research Grant Program. The program aims to support cutting-edge research in the broad field of machine learning, including specific areas such as natural language processing, information retrieval, machine-translation and deep neural networks. Professor Yue has proposed to study an alternative notion of interpretability, which he calls “dynamic interpretability”. The goal of dynamically interpretable models is to make predictions that are interpretable, rather than have the model itself be explicitly interpretable. With this alternative goal, one can circumvent much of the inherent tension between accuracy and traditional “static” interpretability, and move one step closer to interpretable production-strength models.[Bloomberg release]

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