Akshay Krishnamurthy

I am a postdoctoral researcher at Microsoft Research, New York City. I completed my PhD in the Computer Science Department at Carnegie Mellon University, advised by Aarti Singh. I received my undergraduate degree in EECS at UC Berkeley. Starting Fall 2016, I will be an assistant professor in the College of Information and Computer Sciences at the University of Massachusetts, Amherst. My research interests are in machine learning and statistics. I am specifically interested in interactive learning and learning settings involving feedback-driven data collection. My thesis focuses on interactive approaches for discovering and exploiting low-dimensional structure in data. More recently, I have been studying complex decision making problems with limited feedback, which fall under the umbrella of reinforcement learning. Teaching Fall 2016: CS 691-LT: Interactive Machine Learning: Algorithms and Theory…

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