Understanding Can Non Convex Optimization Be Robust

Welcome to our comprehensive guide on Can Non Convex Optimization Be Robust. Rong Ge (Duke University) https://simons.berkeley.edu/talks/

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  • Zeyuan Allen-Zhu, Microsoft Research https://simons.berkeley.edu/talks/zeyuan-allen-zhu-10-06-17 Fast Iterative Methods in ...
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A loss function, also known as a cost function or objective function, is a mathematical function used in deep learning to measure ... It may seem therefore that the concepts and methodology of Several important applications require completion a low-rank matrix in presence of gross outliers. Examples include

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