Nihar Shah (CMU)Oct 26, 3-4PM, Cory 400. Title and AbstractBattling Demons in Peer Review The work uses tools from statistics and learning theory, social choice theory, information theory, game theory and decision theory. (No prior knowledge on these topics will be assumed.) BioNihar B. Shah is an Assistant Professor in the Machine Learning and Computer Science departments at CMU. He is a recipient of the the 2017 David J. Sakrison memorial prize from EECS Berkeley for a “truly outstanding and innovative PhD thesis”, the Microsoft Research PhD Fellowship 2014-16, the Berkeley Fellowship 2011-13, the IEEE Data Storage Best Paper and Best Student Paper Awards for the years 2011/2012, and the SVC Aiya Medal 2010. His research interests include statistics, machine learning, information theory, and game theory, with a current focus on applications to learning from people |