Singular Perturbations of Systems Controlled by Energy-Speed-Gradient Method

Source URL: www.ipme.ru

A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets Nicolas Le Roux SIERRA Project-Team INRIA - ENS

Source URL: nicolas.le-roux.name

Adobe Technical Report, MarchA Perceptually Motivated Method to Control Reconstruction Errors in Gradient-based Image Compositing Sylvain Paris Abstract

Source URL: people.csail.mit.edu

Steepest Descent Method Kefu Liu Properties of Gradient Vector The gradient vector of a scalar function f ( x1 , x2 ,", xn ) is defined as a column vector ⎡ ∂f

Source URL: fivedots.coe.psu.ac.th

SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives Francis Bach INRIA - Sierra Project-Team

Source URL: papers.nips.cc

We show that any model trained by a stochastic gradient method with few iterations has vanishing generalization error. We prove this by showing the method is algorithmically stable in the sense of Bousquet and Elisseeff.

Source URL: mmds-data.org

doi:ipiInverse Problems and Imaging Volume 10, No. 1, 2016, 195–225 PRECONDITIONED CONJUGATE GRADIENT METHOD FOR

Source URL: www.math.purdue.edu

• Mathematical analysis
• Operator theory
• Mathematics
• Complex analysis
• Linear algebra
• Partial differential equations
• Spectral theory

The Condition of a System of Linear Equations: Alternative Derivation Roland Angst Computer Vision and Geometry Lab, Eidgenössische Technische Hochschule Zürich Zürich, Switzerland

Source URL: www.cvg.ethz.ch

• Algebra
• Mathematics
• Numerical analysis
• Numerical linear algebra
• Condition number
• Matrices
• Matrix
• Inequality
• Residual
• Regression analysis
• Conjugate gradient method
• Linear least squares

Data Stream Classification using Random Feature Functions and Novel Method Combinations Jesse Read Albert Bifet

Source URL: users.ics.aalto.fi

• Machine learning
• Artificial intelligence
• Learning
• Statistical classification
• Massive Online Analysis
• K-nearest neighbors algorithm
• Ensemble learning
• Classifier chains
• Multi-label classification
• Concept drift
• Stochastic gradient descent
• Naive Bayes classifier

Journal of Machine Learning Research2159 Submitted 3/10; Revised 3/11; Published 7/11 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗

Source URL: www.jmlr.org

• Mathematical optimization
• Numerical analysis
• Mathematical analysis
• Convex optimization
• Stochastic optimization
• Machine learning
• Gradient descent
• Stochastic gradient descent
• Subgradient method
• Proximal gradient methods for learning
• Perceptron
• BroydenFletcherGoldfarbShanno algorithm