Stochastic optimization

Results: 750



#Item
31Recursive utility using the stochastic maximum principle Knut K. Aase ∗

Recursive utility using the stochastic maximum principle Knut K. Aase ∗

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Source URL: www.qeconomics.org

Language: English - Date: 2016-07-31 11:25:04
32Fast Optimization for t-SNE  Laurens van der Maaten Department of Computer Science and Engineering, University of California, San Diego 9500 Gilman Drive, La Jolla, CA 92093, USA Pattern Recognition & Bioinformatics Lab,

Fast Optimization for t-SNE Laurens van der Maaten Department of Computer Science and Engineering, University of California, San Diego 9500 Gilman Drive, La Jolla, CA 92093, USA Pattern Recognition & Bioinformatics Lab,

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Source URL: lvdmaaten.github.io

Language: English - Date: 2016-07-16 15:30:43
33EasyAnalyzer: an object-oriented framework for the experimental analysis of stochastic local search algorithms? Luca Di Gaspero1 , Andrea Roli2 , and Andrea Schaerf1 1 DIEGM, University of Udine, via delle Scienze 208,

EasyAnalyzer: an object-oriented framework for the experimental analysis of stochastic local search algorithms? Luca Di Gaspero1 , Andrea Roli2 , and Andrea Schaerf1 1 DIEGM, University of Udine, via delle Scienze 208,

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Source URL: tmancini.di.uniroma1.it

Language: English - Date: 2008-12-16 11:05:54
34I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio

I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio

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Source URL: mmds-data.org

Language: English - Date: 2016-06-23 15:50:48
35CGL Workshop 2013 – Athens  Optimization and Learning with Random Pursuit Sebastian U. Stich joint work with Christian L. M¨

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
36A Variational Analysis of Stochastic Gradient Algorithms  Stephan Mandt Columbia University, Data Science Institute, New York, USA  SM 3976@ COLUMBIA . EDU

A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt Columbia University, Data Science Institute, New York, USA SM 3976@ COLUMBIA . EDU

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Source URL: jmlr.org

Language: English - Date: 2016-07-20 01:41:10
37Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗   Princeton University, Computer Science Department

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
38Estimation, Optimization, and Parallelism when Data is Sparse H. Brendan McMahan2 Google, Inc.2 Seattle, WA 98103

Estimation, Optimization, and Parallelism when Data is Sparse H. Brendan McMahan2 Google, Inc.2 Seattle, WA 98103

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Source URL: stanford.edu

Language: English - Date: 2014-09-05 13:17:03
39Journal of Machine Learning Research2159  Submitted 3/10; Revised 3/11; Published 7/11 Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗

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
40Solving for the Retirement Age in a Continuous-time Model with Endogenous Labor Supply Emin Gahramanovy Xueli Tang

Solving for the Retirement Age in a Continuous-time Model with Endogenous Labor Supply Emin Gahramanovy Xueli Tang

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Source URL: www.econ.upd.edu.ph

Language: English - Date: 2014-08-01 04:19:54