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Fisher information
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#	Item
21	Policy Gradient Coagent Networks Philip S. Thomas Department of Computer Science University of Massachusetts Amherst Amherst, MA 01002 Add to Reading List Source URL: psthomas.com Language: English - Date: 2013-11-16 15:49:43 Estimation theory Reinforcement learning Fisher information Likelihood function
22	CURRICULUM VITAE NAME: Guang R. Gao OFFICE ADDRESS: Department of Electrical Engineering 140 Evans Hall Add to Reading List Source URL: www.capsl.udel.edu Language: English - Date: 2015-02-12 15:30:47 Guang Gao Parallel computing International Parallel and Distributed Processing Symposium Computer architecture International Federation for Information Processing Krishna Palem Josh Fisher
23	Revisiting natural gradient for deep networks Yoshua Bengio Universit´e de Montr´eal Montr´eal QC H3C 3J7 Canada Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-02-18 01:51:44 Estimation theory Numerical linear algebra M-estimators Stochastic optimization Least squares Conjugate gradient method Nonlinear conjugate gradient method Gradient descent Gradient method Hessian matrix Fisher information BroydenFletcherGoldfarbShanno algorithm
24	CURRICULUM VITAE NAME: Guang R. Gao Add to Reading List Source URL: www.capsl.udel.edu Language: English - Date: 2015-02-12 15:30:48 Guang Gao Parallel computing Computer architecture International Parallel and Distributed Processing Symposium International Federation for Information Processing Krishna Palem Josh Fisher
25	Statistica Sinica), doi:http://dx.doi.orgssTESTS FOR VARIANCE COMPONENTS IN VARYING COEFFICIENT MIXED MODELS Zaixing Li, Yuedong Wang, Ping Wu, Wangli Xu and Lixing Zhu Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2012-09-18 20:28:37 Estimation theory Summary statistics Statistical theory Probability distributions Normal distribution Consistent estimator Variance Mode Covariance matrix Fisher information
26	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
27	Energetic Natural Gradient Descent Philip S. Thomas Bruno Castro da Silva Christoph Dann Emma Brunskill Add to Reading List Source URL: psthomas.com Language: English - Date: 2016-05-27 10:07:35 Statistical theory Estimation theory Parametric model Loss function Fisher information Expectationmaximization algorithm Divergence
28	Energetic Natural Gradient Descent Add to Reading List Source URL: psthomas.com Language: English - Date: 2016-05-26 17:40:03 Estimation theory Statistical theory Parametric model Loss function Fisher information Expectationmaximization algorithm Divergence Likelihood function Gradient descent
29	Minimal Efficiency of Experimental Designs under the Class of Orthogonally Invariant Criteria Radoslav HarmanA thesis submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Add to Reading List Source URL: www.iam.fmph.uniba.sk Language: English - Date: 2013-02-07 08:36:42 Design of experiments Operations research Industrial engineering Optimal design Quality Symbol Pareto efficiency Fisher information Mathematical optimization
30	HAUSER HALL 410 • HARVARD LAW SCHOOL • CAMBRIDGE, MAPHONE • E-MAIL W I L L I A M W . F I S H E R III EDUCATION Add to Reading List Source URL: www.tfisher.org Language: English - Date: 2014-11-30 09:56:31 Intellectual property law Monopoly Philosophy of law Intellectual property Social information processing Copyright Harvard Law School Critical legal studies Stanford Law School Law and economics William W. Fisher Margaret Radin