My current research is the design of efficient and practical algorithms for fundamental problems in Machine Learning and Optimization. More specifically, I am interested in decision making under uncertainty, statistical learning theory, combinatorial optimization, and convex optimization techniques such as linear and semidefinite programming. More information, including a complete list of publications, can be found at satyenkale.com.
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