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CSCI 8951

Large-Scale Optimization for Machine Learning

Introduction of optimization algorithms suitable for solving large- scale problems, with a focus on exploring recent advances in the context of machine learning. Students will learn several algorithms for solving smooth and non-smooth problems, compare the efficacy of those methods, and discuss the trade-offs in terms of statistical accuracy, scalability, and algorithmic complexity.

Not offered on a regular basis.

Credit Hours:
CSCI 4360/6360 or CSCI 4380/6380 or permission of department

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