Alternating Minimization for Regression Problems with Vector-valued Outputs Prateek Jain Microsoft Research, INDIA

Source URL: dept.stat.lsa.umich.edu

• Regression analysis
• Estimation theory
• Covariance and correlation
• Parametric statistics
• Statistical theory
• Linear regression
• Estimation of covariance matrices
• Ordinary least squares
• Normal distribution
• Maximum likelihood estimation
• Covariance
• Errors and residuals

Emploi du temps des JNCF 2010 Lundi 8h30 - 8h50 Accueil des participants 8h50 - 9h Pr´esentation des journ´ees 9h - 10h30 Alin Bostan, Premi`ere partie : algorithmes rapides pour les polynˆ omes et matrices

Source URL: jncf.math.cnrs.fr

Azmat: Sentence Similarity using Associative Matrices Evan Jaffe Lifeng Jin David King

Source URL: alt.qcri.org

Exit frequency matrices for finite Markov chains Andrew Beveridge∗ Department of Mathematics and Computer Science Macalester College Saint Paul, MNL´aszl´o Lov´asz†

Source URL: www.macalester.edu

Graphs & Matrices Based on Wasserman and FaustChapter 4

Source URL: www.soc.umn.edu

Stochastic approximation of score functions for Gaussian processes

Source URL: arxiv.org

• Statistics
• Estimation theory
• Statistical theory
• Algebra of random variables
• M-estimators
• Maximum likelihood estimation
• Fisher information
• Covariance
• Multivariate random variable
• Matrix
• Variance
• Estimation of covariance matrices

Optimizing Parallel Multiplication Operation for Rectangular and Transposed Matrices Manojkumar Krishnan and Jarek Nieplocha Computational Sciences & Mathematics Pacific Northwest National Laboratory

Source URL: hpc.pnl.gov

Short course on structured matrices D.A. Bini, Universit`a di Pisa Journ´ees Nationales de Calcul Formel (JNCFCIRM, Luminy

Source URL: www.lifl.fr

Journal of Machine Learning Research1890 Submitted 12/10; Revised 10/11; Published 6/12 Regularization Techniques for Learning with Matrices Sham M. Kakade

Source URL: dept.stat.lsa.umich.edu

• Mathematical analysis
• Mathematical optimization
• Mathematics
• Convex analysis
• Convex function
• Bregman divergence
• Convex conjugate
• Lp space
• Convex optimization
• Online machine learning
• Norm
• Multiple kernel learning

arXiv:1011.3027v7 [math.PR] 23 NovIntroduction to the non-asymptotic analysis of random matrices Roman Vershynin1 University of Michigan

Source URL: www-personal.umich.edu