Optimization theory through its practical applications to statistics and machine learning, convex optimization, non-convex problems, primarily stochastic gradient descent and Markov-Chain Monte Carlo Methods
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Optimization theory through its practical applications to statistics and machine learning, convex optimization, non-convex problems, primarily stochastic gradient descent and Markov-Chain Monte Carlo Methods
ex-pr/math_modeling_optimization
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Optimization theory through its practical applications to statistics and machine learning, convex optimization, non-convex problems, primarily stochastic gradient descent and Markov-Chain Monte Carlo Methods
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