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Convex function
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#	Item
221	Monitoring Distributed Streams using Convex Decompositions 1 1 Add to Reading List Source URL: www.vldb.org Language: English - Date: 2014-12-17 10:01:57 Linear algebra Convex hull Convex function Convex set Vector space Basis Norm Bounded set Convex cone Algebra Mathematics Convex analysis
222	Leiden, November 18, 2014 OPEN PROBLEM Tuning the Learning Rate: Contradictory Results Add to Reading List Source URL: www.lorentzcenter.nl Language: English - Date: 2014-11-21 09:00:43 Mathematical optimization Mathematics Analysis Mathematical finance Convex function Convex optimization Convex set Convexity Convex analysis Mathematical analysis Convex geometry
223	c 2009 Society for Industrial and Applied Mathematics SIAM J. OPTIM. Vol. 19, No. 4, pp. 1574–1609 Add to Reading List Source URL: www2.isye.gatech.edu Language: English - Date: 2011-05-04 08:44:40 Convex optimization Operations research Stochastic approximation Stochastic optimization Convex function Subgradient method Big O notation Ellipsoid method Mathematical optimization Mathematical analysis Convex analysis
224	Steepest Descent Analysis for Unregularized Linear Prediction with Strictly Convex Penalties Matus Telgarsky Department of Computer Science and Engineering University of California, San Diego Add to Reading List Source URL: cseweb.ucsd.edu Language: English - Date: 2011-12-09 16:19:41 Convex optimization Mathematical optimization Convex function Spectral theory Operator theory Locally convex topological vector space Mathematical analysis Convex analysis Functional analysis
225	On Iterative Hard Thresholding Methods for High-dimensional M-Estimation Prateek Jain∗ Ambuj Tewari† Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:04 Regression analysis Mathematical optimization Statistical theory Thresholding Linear regression Loss function Convex optimization Least squares M-estimator Statistics Econometrics Estimation theory
226	Linear optimization: Theory, methods, and extensions Erling D. Andersen 1 January 13, [removed]Department Add to Reading List Source URL: plato.asu.edu Language: English - Date: 2007-08-06 18:13:52 Convex optimization Mathematical analysis Linear programming Duality Optimization problem Expected value Function Semidefinite programming Quadratic programming Mathematical optimization Mathematics Operations research
227	Quasiconvex Analysis of Backtracking Algorithms David Eppstein Univ. of California, Irvine School of Information and Computer Science Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2004-01-13 01:02:08 Convex analysis Mathematical optimization Operations research Quasiconvex function Real analysis Graph coloring Recurrence relation Convex function Mathematical analysis Mathematics Theoretical computer science
228	Coordinate descent converges faster with the Gauss-Southwell rule than random selection Michael Friedlander Department of Mathematics University of California, Davis Add to Reading List Source URL: www.opt-ml.org Language: English - Date: 2014-12-10 11:28:45 Convex analysis Differential calculus Mathematical optimization Regression analysis Lipschitz continuity Gradient Coordinate descent Convex function Derivative Mathematical analysis Mathematics Numerical analysis
229	........................................................................... STAT 538 Final Exam Wednesday March 20, 2013, 4:30-6:20 Student name: .......................................................... Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-11 22:28:29 Convex analysis Statistical classification Operations research AdaBoost Ensemble learning Convex optimization Support vector machine XTR Function Mathematics Statistics Mathematical optimization
230	........................................................................... STAT 538 Midterm Exam February 19, 2pm – February 21, 2013, 11:30am • take home exam Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-11 22:28:29 Mathematics Statistical classification Convex analysis Machine learning AdaBoost Convex function Mathematical optimization Linear classifier Boosting Ensemble learning Mathematical analysis Statistics

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