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Convex
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#	Item
181	95 Documenta Math. ¨ wner–John Ellipsoids Lo Add to Reading List Source URL: documenta.sagemath.org Language: English - Date: 2012-07-25 10:24:47 Geometry Mathematics Mathematical optimization Convex analysis Convex optimization Operations research Convex geometry Geometric shapes Ellipsoid John ellipsoid Convex body Linear programming
182	From Convex Optimization to Randomized Mechanisms: Toward Optimal Combinatorial Auctions∗ Shaddin Dughmi† Tim Roughgarden‡ Add to Reading List Source URL: www.qiqiyan.com.s3-website-us-east-1.amazonaws.com Language: English - Date: 2012-07-04 18:28:36 Mathematical optimization Mathematics Operations research Linear programming Convex optimization Combinatorial optimization Computational complexity theory Submodular set function Randomized rounding Optimization problem Matroid Ellipsoid method
183	CGL Workshop 2013 – Athens Optimization and Learning with Random Pursuit Sebastian U. Stich joint work with Christian L. M¨ Add to Reading List Source URL: sstich.ch Language: English - Date: 2013-10-07 05:25:18 Mathematical analysis Stochastic processes Mathematical optimization Operations research Random walk Convex function XK Analysis
184	CS168: The Modern Algorithmic Toolbox Lecture #5: Gradient Descent Basics Tim Roughgarden & Gregory Valiant∗ April 11, Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2016-06-04 09:49:43 Mathematical analysis Numerical analysis Mathematics Differential calculus Rates Vector calculus Convex analysis Gradient descent Convex optimization Mathematical optimization Derivative Normal
185	Simple and Fast Inverse Alignment John Kececioglu and Eagu Kim Department of Computer Science, The University of Arizona, Tucson, AZ 85721, USA {kece, egkim}@cs.arizona.edu Add to Reading List Source URL: www.cs.arizona.edu Language: English - Date: 2006-04-28 03:36:43 Computational phylogenetics Mathematical optimization Operations research Mathematics Linear programming Bioinformatics Convex optimization Sequence alignment SmithWaterman algorithm Ellipsoid method Linear inequality Inequality
186	Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗ Princeton University, Computer Science Department Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Mathematics Numerical analysis Algebra Linear algebra Convex optimization Operations research Computational statistics Mathematical optimization K-SVD Sparse approximation Deep learning Stochastic gradient descent
187	Monotone crossing number of complete graphs Martin Balko, Radoslav Fulek and Jan Kynˇcl Charles University, Prague The story Add to Reading List Source URL: kam.mff.cuni.cz Language: English - Date: 2013-06-24 21:33:16 Mathematics Convex analysis Geometry Convex function Convex set Happy ending problem George Szekeres
188	Journal of Machine Learning Research2159 Submitted 3/10; Revised 3/11; Published 7/11 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2011-07-05 16:26:18 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
189	1 Perturbation Techniques in Online Learning and Optimization Jacob Abernethy Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2016-05-20 09:15:14 Mathematical analysis Mathematical optimization Convex analysis Analysis Operations research Convex optimization Convex function Latin alphabets
190	103 Doc. Math. J. DMV The Polytope of All Triangulations of a Point Configuration Add to Reading List Source URL: documenta.sagemath.org Language: English - Date: 2014-07-13 07:29:13 Geometry Mathematics Space Polytopes Topology Triangulation Algebraic topology Geometric topology Simplex Convex hull Convex polytope Simplicial polytope

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