ml:optimization
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Table of Contents
Optimization
Lectures and Books
- Bottou et al 2016 - Optimization Methods for Large-Scale Machine Learning Survey paper that includes theory results with proofs (even includes the rate of convergence of SGD on non-convex objectives)
Theory
- Ghadimi & Lan 2013 - Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Cited by Jin 2021 for Theorem 2.10
Papers
Courses
Blog Posts
Related Pages
ml/optimization.1709761585.txt.gz · Last modified: 2024/03/06 21:46 by jmflanig