First-order and Stochastic Optimization Methods for Machine Learning More Books Like This

Accelerated Optimization for Machine Learning Accelerated Optimization for Machine Learning
2020
Lectures on Convex Optimization Lectures on Convex Optimization
2018
Numerical Analysis: A Graduate Course Numerical Analysis: A Graduate Course
2022
Alternating Direction Method of Multipliers for Machine Learning Alternating Direction Method of Multipliers for Machine Learning
2022
An Optimization Primer An Optimization Primer
2022
Approximation Theory XVI Approximation Theory XVI
2021
Inverse Problems Inverse Problems
2021
Sparse Optimization Theory and Methods Sparse Optimization Theory and Methods
2018
Convex Optimization with Computational Errors Convex Optimization with Computational Errors
2020
Mathematical Programming with Data Perturbations Mathematical Programming with Data Perturbations
2020
Optimization Theory and Methods Optimization Theory and Methods
2006
Optimization on Solution Sets of Common Fixed Point Problems Optimization on Solution Sets of Common Fixed Point Problems
2021
Nonlinear Optimization Nonlinear Optimization
2019
Nonsmooth Optimization and Its Applications Nonsmooth Optimization and Its Applications
2019
The Projected Subgradient Algorithm in Convex Optimization The Projected Subgradient Algorithm in Convex Optimization
2020