Written by experts in machine learning and optimization, this is the first book providing a state-of-the-art review on ADMM under various scenarios, including deterministic and convex optimization, nonconvex optimization, stochastic optimization, and distributed optimization.
Written by experts in machine learning and optimization, this is the first book providing a state-of-the-art review on ADMM under various scenarios, including deterministic and convex optimization, nonconvex optimization, stochastic optimization, and distributed optimization.
The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts... Læs mere
The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning.Written by leading experts... Læs mere