now publishers Inc Learning with Submodular Functions: A Convex Optimization Perspective (Foundations and Trends® in Machine Learning)

Non-convex Optimization for Machine Learning (Foundations and Trends in Machine Learning)

Now Publishers

Submodular Functions and Optimization (Annals of Discrete Mathematics): Volume 58

Elsevier

Regularization, Optimization, Kernels, and Support Vector Machines (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

CRC Press

Convex Optimization for Machine Learning (NowOpen)

Wiley

Introduction to High-Dimensional Statistics (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

CRC Press

Optimization for Machine Learning (Neural Information Processing series)

MIT Press

Interactive Decision Maps: Approximation and Visualization of Pareto Frontier: 89 (Applied Optimization, 89)

Springer

Machine Learning: A Practical Approach on the Statistical Learning Theory

Springer

Convex Optimization with Computational Errors: 155 (Springer Optimization and Its Applications, 155)

Springer

Introduction to Online Convex Optimization, Second Edition (Adaptive Computation and Machine Learning)

MIT Press

Mathematical Methods of Optimization

Studentlitteratur AB

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

CRC Press

Springer Introductory Lectures on Convex Optimization - 87

Springer

Machine Learning from Weak Supervision: An Empirical Risk Minimization Approach (Adaptive Computation and Machine Learning series)

MIT Press

Introduction to Optimization and Semidifferential Calculus: 12 (MPS-SIAM Series on Optimization, Series Number 12)

Society for Industrial and Applied Mathematics (SIAM)

Optimization for Learning and Control

Wiley

Self–Regularity – A New Paradigm for Primal–Dual Interior–Point Algorithms (Princeton Series in Applied Mathematics)

Princeton University Press

Topics in Nonconvex Optimization: Theory and Applications: 50 (Nonconvex Optimization and Its Applications, 50)

Springer

Linear Algebra and Optimization for Machine Learning: A Textbook

Springer

Modern Nonconvex Nondifferentiable Optimization (MOS-SIAM Series on Optimization)

High Performance Optimization: 33 (Applied Optimization, 33)

Springer

Nature Inspired Computing for Data Science: 871 (Studies in Computational Intelligence, 871)

Springer

Convex Analysis and Monotone Operator Theory in Hilbert Spaces (CMS Books in Mathematics)

Springer