Beyond stochastic gradient descent for large-scale machine learning

Convex Optimization

Lieven Vandenberghe (University of California, Los Angeles)

Variational Methods for Computer Vision

Daniel Cremers (Technische Universität München) (lecture 18 missing from playlist)

Continuous Optimization in Computer Vision

Andrew Fitzgibbon (Microsoft Research)

Ceres Solver

Nonlinear least-square problem and unconstrained optimization solver