Stochastic Optimization
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This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal
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This textbook provides an introduction to convex duality for optimization problems in Banach spaces, integration theory, and their application to stochastic pro
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This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.
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