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Algorithms & Theory
Scalable algorithmic methods provide tradeoffs between the competing notions of accuracy and performance, ultimately providing principled approaches to decision making in complex environments and achieving significant improvements in scalability, cost, and responsiveness.
Faculty
Faculty members leading research in Algorithms & Theory are as follows: