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M-estimators
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21	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOITKDE, IEEE Tr Add to Reading List Source URL: people.tubri.org Language: English - Date: 2015-03-18 18:22:04 Robust statistics Estimation theory Statistical theory Covariance and correlation M-estimators Outlier Maximum likelihood estimation Mixture model Expectationmaximization algorithm Sample mean and covariance Efficiency Normal distribution
22	Managed Communication and Consistency for Fast Data-Parallel Iterative Analytics Jinliang Wei Wei Dai Aurick Qiao Qirong Ho? Henggang Cui Gregory R. Ganger Phillip B. Gibbons† Garth A. Gibson Eric P. Xing Carnegie Mell Add to Reading List Source URL: www.pdl.cmu.edu Language: English - Date: 2016-03-07 13:00:52 Parallel computing Stochastic optimization M-estimators Convex optimization Stochastic gradient descent Consistency model Cache Parameter ML XC Bulk synchronous parallel
23	Tilburg University Testing for a Threshold in Models with Endogenous Regressors Rothfelder, Mario; Boldea, Otilia Document version: Add to Reading List Source URL: pure.uvt.nl Language: English - Date: 2016-08-03 04:50:02 Estimation theory Econometrics Regression analysis Instrumental variable M-estimators Generalized method of moments Simultaneous equations model
24	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
25	On Specifying Boolean Functions by Labelled Examples Martin Anthony and Graham Brightwell Department of Statistical and Mathematical Sciences London School of Economics Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2003-07-02 03:41:24 Statistical theory Estimation theory M-estimators Ordinary differential equations Operator theory Sufficient statistic Heat equation
26	Discretizing Unobserved Heterogeneity: Approximate Clustering Methods for Dimension Reduction∗ St´ephane Bonhomme† Thibaut Lamadon‡ Add to Reading List Source URL: www.lamadon.com Language: English - Date: 2016-06-29 07:21:24 Estimation theory Statistical theory Econometrics M-estimators Statistical inference Maximum likelihood estimation Estimator Linear regression Efficiency
27	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
28	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
29	2015 IEEE International Conference on Robotics and Automation (ICRA) Washington State Convention Center Seattle, Washington, May 26-30, 2015 Self-tuning M-estimators G. Agamennoni, P. Furgale and R. Siegwart Add to Reading List Source URL: europa2.informatik.uni-freiburg.de Language: English - Date: 2016-01-26 19:52:59 Estimation theory Statistical theory M-estimators Statistical inference Bayesian statistics Maximum likelihood estimation Normal distribution Bayes estimator Efficiency Estimator Marginal likelihood operator
30	Power Weighted Densities for Time Series Data Add to Reading List Source URL: www-stat.wharton.upenn.edu Language: English - Date: 2016-03-28 14:59:23 Statistics Statistical theory Probability Estimation theory Bayesian statistics Probability distributions M-estimators Maximum likelihood estimation Linear regression Posterior predictive distribution Prior probability Likelihood function

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