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Dimensional regularization
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1	Honglang Wang Depart. of Stat. & Prob. Summary and discussion of “Regularization Methods for High Dimensional Instrumental Add to Reading List Source URL: www.stt.msu.edu Language: English - Date: 2014-09-22 13:56:06
2	Norm-regularized empirical risk minimization Sara van de Geer ETH Z¨ urich The usefulness of `1 -norm regularization in high-dimensional problems is nowadays well recognized. A fundamental property of the `1 -norm that Add to Reading List Source URL: papersjds15.sfds.asso.fr Language: English - Date: 2015-05-05 11:56:51
3	DELFT UNIVERSITY OF TECHNOLOGY REPORTVariational estimation of permeability and model errors from 3D and 4D seismic data using model-driven regularization Add to Reading List Source URL: www.ewi.tudelft.nl Language: English - Date: 2011-05-11 08:17:02 Dimensional analysis Statistical theory Estimation theory Measurement Statistics
4	PHD COU RSE HIGH-DIMENSIONAL ECONOMETRICS: ORACLE PROPERTY, ORACLE INEQUALITIES AND INFERENCE Add to Reading List Source URL: econ.au.dk Language: English - Date: 2015-02-10 08:14:18 Regularization Science Learning Analysis Econometrics Feature selection Lasso
5	Some Properties of Generalized Fused Lasso and Its Applications to High Dimensional Data Woncheol Jang, Johan Lim Seoul National University, Seoul, Korea, wjang, Ji Meng Loh Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Regularization Lasso Tikhonov regularization Feature selection Least-angle regression Statistics Regression analysis Elastic net regularization
6	Regularized Regression David M. Blei Columbia University December 3, 2014 Modern regression problems are high dimensional, which means that the number of covariates p is large. In practice statisticians regularize their Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2015-03-12 00:16:19 Econometrics Least squares Parametric statistics Regularization Linear regression Tikhonov regularization Elastic net regularization Mean squared error Maximum likelihood Statistics Estimation theory Regression analysis
7	INFERENCE IN HIGH DIMENSIONAL PANEL MODELS WITH AN APPLICATION TO GUN CONTROL ALEXANDRE BELLONI, VICTOR CHERNOZHUKOV, CHRISTIAN HANSEN, AND DAMIAN KOZBUR Abstract. We consider estimation and inference in panel data model Add to Reading List Source URL: www.econ.ucsb.edu Language: English - Date: 2015-04-13 12:10:31 Econometrics Parametric statistics Analysis of variance Linear regression Least squares Instrumental variable Regularization Fixed effects model Ordinary least squares Statistics Regression analysis Estimation theory
8	K ERNELS , D ICTIONARY AND R EGULARIZATION Francesca Odone and Lorenzo Rosasco RegML 2014 Regularization Methods for High Dimensional Learning Add to Reading List Source URL: lcsl.mit.edu Language: English - Date: 2014-06-30 18:00:14 Mathematical analysis Quantum field theory Summability methods Machine learning Regularization Tikhonov regularization Hilbert space Linear algebra Physics Mathematics
9	R EGULARIZATION VIA S PECTRAL F ILTERING Francesca Odone and Lorenzo Rosasco RegML 2014 Regularization Methods for High Dimensional Learning Add to Reading List Source URL: lcsl.mit.edu Language: English - Date: 2014-06-30 18:30:12 Estimation theory Linear algebra Quantum field theory Regularization Tikhonov regularization Analysis Stability Well-posed problem Mathematical analysis Mathematics Inverse problems
10	S PARSITY BASED R EGULARIZATION Francesca Odone and Lorenzo Rosasco RegML 2014 Regularization Methods for High Dimensional Learning Add to Reading List Source URL: lcsl.mit.edu Language: English - Date: 2014-07-02 13:40:18 Machine learning Regularization Mathematics Sparse approximation Analysis Dimensional regularization Quantum field theory Summability methods Mathematical analysis

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