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Stochastic approximation
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21	Advances in the Minimization of Finite Sums Mark Schmidt Joint work with Nicolas Le Roux, Francis Bach, Reza Babanezhad and Mohamed Ahmed University of British Columbia Context: Minimizing Finite Sums Add to Reading List Source URL: www.proba.jussieu.fr Language: English Numerical analysis Numerical linear algebra Stochastic optimization Gradient descent Support vector machine Gradient method Operations research Mathematical optimization Stochastic gradient descent Stochastic approximation
22	Elon Lindenstrauss Citation: “For his results on measure rigidity in ergodic theory, and their applications to number theory.” Elon Lindenstrauss has developed extraordinarily powerful theoretical tools in ergodic th Add to Reading List Source URL: www.icm2010.in Language: English - Date: 2012-02-02 09:07:21 Ergodic theory Dynamical systems Stochastic processes Diophantine approximation Anatole Katok Elon Lindenstrauss Littlewood conjecture Ergodicity Ergodic Chaos theory Invariant measure Manfred Einsiedler
23	c 2012 Society for Industrial and Applied Mathematics SIAM J. OPTIM. Vol. 22, No. 4, pp. 1549–1578 Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:16:58 Generalized functions Stochastic optimization Mathematical optimization Ergodic theory Mixing Stochastic approximation Markov chain Distribution Subgradient method Central limit theorem
24	arXiv:1306.2119v1 [cs.LG] 10 JunNon-strongly-convex smooth stochastic approximation with convergence rate O(1/n) Eric Moulines LTCI Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-06-10 20:38:16
25	Variable Metric Stochastic Approximation Theory Peter Sunehag∗ Jochen Trumpf Add to Reading List Source URL: nic.schraudolph.org Language: English - Date: 2011-07-24 10:25:00
26	Bayesian Learning via Stochastic Gradient Langevin Dynamics Max Welling D. Bren School of Information and Computer Science, University of California, Irvine, CA, USA Yee Whye Teh Add to Reading List Source URL: www.icml-2011.org Language: English - Date: 2011-06-01 14:49:35 Applied mathematics Statistical randomness Probability and statistics Monte Carlo methods Markov models Statistical mechanics Stochastic optimization Computational statistics Markov chain Monte Carlo Stochastic approximation Langevin dynamics Bayesian network
27	An asymptotic approximation for the permanent of a doubly stochastic matrix Peter McCullagh University of Chicago August 2, 2012 Abstract Add to Reading List Source URL: www.stat.uchicago.edu Language: English - Date: 2012-08-02 18:47:37
28	On Using Simultaneous Perturbation Stochastic Approximation for IR Measures, and the Empirical Optimality of LambdaRank Yisong Yue1 Dept. of Computer Science Add to Reading List Source URL: www.yisongyue.com Language: English - Date: 2007-11-20 14:24:30
29	3D Hand Tracking in a Stochastic Approximation Setting Desmond Chik1,2 , Jochen Trumpf1,2 , and Nicol N. Schraudolph1,2 1 Research School of Information Sciences and Engineering, Add to Reading List Source URL: nic.schraudolph.org Language: English
30	Exact-Present Solution with Consistent-Future Approximation: A Gridless Algorithm to Solve Stochastic Dynamic Models Wouter J. Den Haan, Michal L. Kobielarz and Pontus Rendahl∗ January 19, 2016 Add to Reading List Source URL: www.wouterdenhaan.com Language: English

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