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Research Interests: Machine learning, game theory, decision theory, optimization, market mechanism design, and financial applications. He is particularly interested in how algorithms utilized in ML, such as those for discovering patterns in data, are strongly related to methods used in large-scale optimization, as well as strategies for hedging financial derivatives and setting prices in securities markets.
Research Areas: Artificial Intelligence, Theory of Computation
Address: 3765 Beyster