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Stochastic optimization
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81	Course: Dynamic Programming and Business Cycles Faculty: Add to Reading List Source URL: idea.uab.es Language: English - Date: 2016-07-28 04:30:07 Mathematical optimization Operations research Equations Dynamic programming Optimal control Systems engineering Stochastic programming Bellaterra JavaScript Recursion Dynamics Lars Ljungqvist
82	IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 60, NO. 4, APRILAn Optimizer’s Approach to Stochastic Control Problems With Nonclassical Information Structures Add to Reading List Source URL: coleman.ucsd.edu Language: English Mathematical optimization Transportation theory Convex optimization Relaxation KarushKuhnTucker conditions Linear programming Optimization problem Ratedistortion theory Quasigroup Lagrange multiplier Optimal control Equation solving
83	Published as a conference paper at ICLRA DAM : A M ETHOD FOR S TOCHASTIC O PTIMIZATION Diederik P. Kingma* University of Amsterdam Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-07-26 20:01:45 M-estimators Computational statistics Computational neuroscience Estimation theory Stochastic optimization Stochastic gradient descent Deep learning Artificial neural network Convolutional neural network Mathematical optimization Loss function Feature learning
84	Supply planning for two-level assembly systems with stochastic component delivery times: trade-off between holding cost and service level Faicel Hnaien1, Xavier Delorme2, and Alexandre Dolgui2 1 Add to Reading List Source URL: www.emse.fr Language: English - Date: 2009-01-07 09:20:02 Inventory Operations research Supply chain management Mathematical optimization Distribution Inventory theory Safety stock Probability distribution Genetic algorithm Service level
85	An Introduction to Dynamic Optimization and Optimal Control: Models, Solutions, and Approximations Duration: 20 hours Teachers: Giorgio Gnecco - IMT - Institute for Advanced Studies, Lucca (Italy) - giorgio.gnecco@imtluc Add to Reading List Source URL: phd.dibris.unige.it Language: English - Date: 2016-01-15 11:17:54 Mathematical optimization Equations Operations research Optimal control Dynamic programming Bellman equation Lev Pontryagin Kalman filter Algebraic Riccati equation Stochastic programming Dimitri Bertsekas
86	Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning Matthias Br¨ocheler, Lise Getoor University of Maryland, College Park College Park, MD 20742 Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-06-14 19:26:49 Operations research Summary statistics Statistical models Convex optimization Linear programming Normal distribution Probability distribution Central limit theorem Expected value Random walk Stochastic process Standard deviation
87	arXiv:1410.7455v8 [cs.NE] 22 Jun 2015 Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-06-23 20:50:51 Stochastic optimization Estimation theory Computational statistics M-estimators Convex optimization Stochastic gradient descent Matrix Fisher information Deep learning Covariance matrix
88	Ludovic Tangpi Oskar-Morgenstern-Platz 1 A-1090 Wien, Austria Room: 06.135 Add to Reading List Source URL: www.mat.univie.ac.at Language: English - Date: 2015-09-07 08:35:44 Statistical randomness Stochastic Mathematical finance Mathematical optimization
89	Preprint ANL/MCS-P4030AN AUGMENTED INCOMPLETE FACTORIZATION APPROACH FOR COMPUTING THE SCHUR COMPLEMENT IN STOCHASTIC OPTIMIZATION § ¨ Add to Reading List Source URL: www.mcs.anl.gov Language: English - Date: 2013-05-23 14:20:12 Mathematical optimization Operations research Numerical linear algebra Stochastic programming Conjugate gradient method Matrix Linear programming Benders decomposition Preconditioner Equation solving Relaxation Augmented Lagrangian method
90	Adaptive Subgradient Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization∗ John Duchi Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:17:02 Convex optimization Mathematical optimization Stochastic optimization Machine learning Gradient descent Subgradient method Stochastic gradient descent Proximal gradient methods for learning Perceptron BroydenFletcherGoldfarbShanno algorithm Online machine learning Loss functions for classification

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