Convex optimization

Results: 1096



#Item
81Mathematical analysis / Stochastic processes / Mathematical optimization / Operations research / Random walk / Convex function / XK / Analysis

CGL Workshop 2013 – Athens Optimization and Learning with Random Pursuit Sebastian U. Stich joint work with Christian L. M¨

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Source URL: sstich.ch

Language: English - Date: 2013-10-07 05:25:18
82Mathematical analysis / Numerical analysis / Mathematics / Differential calculus / Rates / Vector calculus / Convex analysis / Gradient descent / Convex optimization / Mathematical optimization / Derivative / Normal

CS168: The Modern Algorithmic Toolbox Lecture #5: Gradient Descent Basics Tim Roughgarden & Gregory Valiant∗ April 11,

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Source URL: theory.stanford.edu

Language: English - Date: 2016-06-04 09:49:43
83Computational phylogenetics / Mathematical optimization / Operations research / Mathematics / Linear programming / Bioinformatics / Convex optimization / Sequence alignment / SmithWaterman algorithm / Ellipsoid method / Linear inequality / Inequality

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

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Source URL: www.cs.arizona.edu

Language: English - Date: 2006-04-28 03:36:43
84Mathematics / Numerical analysis / Algebra / Linear algebra / Convex optimization / Operations research / Computational statistics / Mathematical optimization / K-SVD / Sparse approximation / Deep learning / Stochastic gradient descent

Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗ Princeton University, Computer Science Department

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Source URL: jmlr.org

Language: English - Date: 2015-07-20 20:08:35
85Mathematical 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

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

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Source URL: www.jmlr.org

Language: English - Date: 2011-07-05 16:26:18
86Mathematical analysis / Mathematical optimization / Convex analysis / Analysis / Operations research / Convex optimization / Convex function / Latin alphabets

1 Perturbation Techniques in Online Learning and Optimization Jacob Abernethy

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

Language: English - Date: 2016-05-20 09:15:14
87Mathematics / Operations research / Linear programming / Combinatorial optimization / Convex optimization / Submodular set function / Valuation / Approximation algorithm / Randomized rounding / Ellipsoid method / Mathematical optimization / Algorithm

CS364B: Frontiers in Mechanism Design Lecture #10: Coverage Valuations and Convex Rounding∗ Tim Roughgarden† February 5, 2014

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Source URL: theory.stanford.edu

Language: English - Date: 2014-06-11 16:25:54
88Mathematical optimization / Mathematical analysis / Convex optimization / Operations research / Linear programming / Limit of a function / Nonlinear programming / Expected value / Weak duality / Duality / Semidefinite programming

Linear Programming and Unique Sink Orientations Bernd G¨artner∗ Institute of Theoretical Computer Science ETH Z¨ urich 8092 Z¨

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Source URL: people.inf.ethz.ch

Language: English - Date: 2016-06-20 11:55:10
89Transport / Land transport / Mathematical optimization / Operations research / Road transport / Convex optimization / Control theory / Model predictive control / Linear programming / Traffic flow / Fundamental diagram of traffic flow / Optimal control

A convex formulation for model predictive perimeter flow control in multi-region cities Anastasios Kouvelas Mohammadreza Saeedmanesh Nikolas Geroliminis École Polytechnique Fédérale de Lausanne

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Source URL: www.strc.ch

Language: English - Date: 2016-06-15 07:09:41
90Mathematical analysis / Analysis / Mathematics / Convex analysis / Convex function / Mathematical optimization / Derivative / XK

ISMP 2012 – Berlin Convergence of Local Search Sebastian U. Stich Institute of Theoretical Computer Science Department of Computer Science

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Source URL: sstich.ch

Language: English - Date: 2012-08-27 04:51:50
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