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Intro
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Classroom Contents
On Gradient-Based Optimization - Accelerated, Distributed, Asynchronous and Stochastic
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- 1 Intro
- 2 What is variational
- 3 Gradientbased optimization
- 4 Covariant operator
- 5 Discretization
- 6 Summary
- 7 Gradient Flow
- 8 Hamiltonian Formulation
- 9 Gradient Descent
- 10 Diffusions
- 11 Assumptions
- 12 Gradient Descent Structure
- 13 Avoiding Saddle Points
- 14 Differential geometry
- 15 Nonconvex optimization
- 16 Stochastic gradient control
