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Lecture 7, 2021: Constrained forms of rollout, discrete optimization, ASU.
MVG 2021 WIS - Lecture 7 Optimization
F18 Lecture 7 - Optimization Part 2
Analyzing Optimization and Generalization in Deep Learning via Trajectories of Gradient Descent
A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt1
Lecture 7/8 - Optimality Conditions and Algorithms in Nonlinear Optimization
A theory of deep learning: explaining the approximation, optimization and generalization puzzles Pt2
Lecture 7 | Machine Learning (Stanford)
Stefanie Jegelka - Two aspects of learning algorithms: generalization under shifts & loss functions
Lecture 7 | Acceleration, Regularization, and Normalization
