Mach Learn:3–39 DOIs10994A majorization-minimization approach to the sparse generalized eigenvalue problem Bharath K. Sriperumbudur · David A. Torres ·

Source URL: eceweb.ucsd.edu

• Multivariate statistics
• Operations research
• Mathematical optimization
• Numerical linear algebra
• Dimension reduction
• Sparse PCA
• Sparse approximation
• Principal component analysis
• Limit of a function
• Convex optimization
• Semidefinite programming
• K-SVD

Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning Matthias Br¨ocheler, Lise Getoor University of Maryland, College Park College Park, MD 20742

Source URL: psl.umiacs.umd.edu

• Operations research
• Summary statistics
• Statistical models
• Convex optimization
• Linear programming
• Normal distribution
• Probability distribution
• Central limit theorem
• Expected value
• Random walk
• Stochastic process
• Standard deviation

arXiv:1410.7455v8 [cs.NE] 22 Jun 2015

Source URL: arxiv.org

• Stochastic optimization
• Estimation theory
• Computational statistics
• M-estimators
• Convex optimization
• Stochastic gradient descent
• Matrix
• Fisher information
• Deep learning
• Covariance matrix

1030 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 52, NO. 3, MARCH 2006 Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise

Source URL: users.cms.caltech.edu

• Linear algebra
• Convex analysis
• Mathematical optimization
• Numerical linear algebra
• Signal processing
• Sparse approximation
• Convex function
• Norm
• Vector space
• Banach space
• Preconditioner
• Convex set

Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi

Source URL: stanford.edu

• Convex optimization
• Mathematical optimization
• Stochastic optimization
• Machine learning
• Gradient descent
• Subgradient method
• Stochastic gradient descent
• Proximal gradient methods for learning
• Perceptron
• BroydenFletcherGoldfarbShanno algorithm
• Online machine learning
• Loss functions for classification

PACORA: Performance Aware Convex Optimization for Resource Allocation Sarah L. Bird, University of California-Berkeley <> Burton J. Smith, Microsoft <> Abstract Resource alloc

Source URL: www.usenix.org

• Convex analysis
• Mathematical optimization
• Real analysis
• Convex geometry
• Convex optimization
• Convex function
• Quasiconvex function
• Convex set
• Logarithmically convex function
• ShapleyFolkman lemma

51 Documenta Math. Linear Programming Stories

Source URL: documenta.sagemath.org

• Operations research
• Convex optimization
• Lattice points
• Combinatorial optimization
• Computational number theory
• Ellipsoid method
• Linear programming
• Leonid Khachiyan
• Lattice reduction
• LenstraLenstraLovsz lattice basis reduction algorithm
• Mathematical optimization
• Arjen Lenstra

Compressed Sensing With Side Information: Geometrical Interpretation and Performance Bounds João F. C. Mota, Nikos Deligiannis, and Miguel R. D. Rodrigues Electronic & Electrical Engineering Department at University Col

Source URL: www.ee.ucl.ac.uk

• Mathematical optimization
• Relaxation
• Compressed sensing
• Convex analysis
• Convex optimization

Quantitative Analysis of Iterative Algorithms in Fixed Point Theory and Convex Optimization Vom Fachbereich Mathematik der Technischen Universit¨at Darmstadt zur Erlangung des Grades eines

Source URL: tuprints.ulb.tu-darmstadt.de

Matrix-Free Convex Optimization Modeling Steven Diamond Stephen Boyd November 3, 2015

Source URL: stanford.edu