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Lecture
Optimization Techniques: Stochastic Gradient Descent and Beyond
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Non-Convex Optimization: Techniques and Applications
Covers non-convex optimization techniques and their applications in machine learning.
Optimality of Convergence Rate: Acceleration in Gradient Descent
Explores the optimality of convergence rate in gradient descent and acceleration techniques for convex and non-convex problems.
