The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is ...
In this thesis, we propose efficient algorithms and provide theoretical analysis through the angle of spectral methods for some important non-convex optimi... B Xie 被引量: 0发表: 2017年 OPTIMIZATION ALGORITHMS AND APPLICATIONS IN TRAFFIC SIGNAL CONTROL AND MACHINE LEARNING In this thesis, we prop...
First-order Algorithms & Modern Nonconvex Nondifferentiable Optimization **First-order Methods in Optimization by Amir Beck 评注:印象中Amir Beck这本书上过SIAM的推荐,很早之前就想读一下但一直找不到时间。其中FISTA算法更是十年内的重大成果。 First-order and Stochastic Optimization Methods for Machine Lea...
Efficient optimization algorithms for machine learning, non-generative unsupervised and semi-supervised learning, online convex optimization and regret minimization in games. 早在2016年,Elad Hazan 就发布了《在线凸优化导论》的第一版: Elad Hazan (2016), "Introduction to Online Convex Optimization", Founda...
It continues to be a fundamental paradigm today, with new algorithms being proposed for difficult variants, especially large-scale and nonlinear variants. Thus, SVMs offer excellent common ground on which to demonstrate the interplay of optimization and machine learning. 1.1 Support Vector ...
In this chapter, we consider two optimization problems - considered to be most central to machine learning and data mining algorithms design - the PCA and LDA computation. We discuss solving these problems in exact way over the cloud environment. We also present these computations when the data ...
, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning....
lecturenotes: OptimizationforMachineLearning version0.5 EladHazan ii Preface ThistextwaswrittentoaccompanyaseriesoflecturesgivenattheMachine LearningSummerSchoolBuenosAires,followingalectureseriesatthe SimonsCenterforTheoreticalComputerScience,Berkeley. ItiscurrentlyextendedforthecourseCOS598D-Optimizationfor MachineLearni...
The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is ...
The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is ...