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)

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

Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with Python and MATLAB

A Computational Approach to Statistical Learning (Chapman & Hall/CRC Texts in Statistical Science)

CRC Press

Linear Algebra and Optimization for Machine Learning: A Textbook

Machine Learning: A Constraint-Based Approach

Morgan Kaufmann

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

Springer

Lectures on Convex Optimization: 137 (Springer Optimization and Its Applications, 137)

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) (Adaptive Computation and Machine Learning series)

MIT Press

Mathematical Methods of Optimization

Studentlitteratur AB

Nonlinear Programming: Theory and Algorithms

Wiley

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

CRC Press

Recent Advances in Hybrid Metaheuristics for Data Clustering (The Wiley Series in Intelligent Signal and Data Processing)

Wiley

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)

Foundations of Machine Learning (Adaptive Computation and Machine Learning series)

MIT Press

Optimization for Learning and Control

Wiley