定价:USD 99.00 装帧:Paperback 丛书:Foundations and Trends® in Optimization ISBN:9781680831702 豆瓣评分 评价人数不足 写笔记 写书评 加入购书单 分享到 内容简介· ··· Introduction to Online Convex Optimization portrays optimization as a process. In many practical applications the environment is so c...
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...
决策集:在有向图中,所有路径选择的分布构成的凸集,记为\mathcal{K}\subseteq\mathbb{R}^m。下面是关于这个集合的具体描述: the standard description of the set of all distributions over paths(flows) in a graph as a convex set in\mathbb{R}^m,denoted\mathcal{K}, withO(m+|V|)constraints:\sum...
Online convex optimization and no-regret learning: Algorithms, guarantees and applications With this in mind, the aim of this tutorial paper is to provide a gentle introduction to online optimization and learning algorithms that are ... EV Belmega,P Mertikopoulos,R Negrel,... 被引量: 4发表:...
Convex Optimization - Introduction - This course is useful for the students who want to solve non-linear optimization problems that arise in various engineering and scientific applications. This course starts with basic theory of linear programming and w
Convex Optimization for Big Data This article reviews recent advances in convex optimization algorithms for Big Data, which aim to reduce the computational, storage, and communications bot... V Cevher,S Becker,M Schmidt - 《Mathematics》 被引量: 196发表: 2014年 Minimizing the Peak-to-Average Po...
Moreover, modern securities markets are based on trading protocols that result in convex trading costs. The first part of this paper gives an introduction to certain basic concepts and principles of financial risk management in simple optimization terms. The second part reviews some convex ...
Stephen Becker (Caltech) Convex OptimizationACM Tea 8 / 66(NEW) Why convexity?Consider minxf (x) subject to x ∈ C where both the function f and the set C are convex.Theorem (All local minima are also global minima)Proof: Let x* be a local minimum, so there is some ε > 0 ...