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Boosting Paper _ new - Coggle Diagram
Boosting Paper _ new
Spindler, Ye Luo | 2016 | High Dimensional L2Boosting: Rate of Convergence
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Bühlmann
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2007 - Boosting Algorithms: Regularization, Predicition, Model Fitting
Van de Geer, Bühlmann - 2009 - On the conditions used to prove oracle results for the Lasso
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Freund, Shapire - 1997 - A decision-theoretic generalization of on-line learning and an application to boosting
PAC-MAN related
Dalen, 2001, The pulmonary artery catheter - freind, foe, or accomplice?
Connors, Speroff, Dawson ..., 1996 - The effectiveness of right heart catherization in the inital care of critically Ill patients
Harvey, Harrision, Singer, ..., 2005 - Assessment of the clinical effectiveness of pulmonary artery catheters in management of patients in intensive care: A randomised controlled trial
Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, Newey | 2016 | Double Machine Learning for Treatment and Causal Parameters
Chernozhukov, Hansen, Spindler | 2015 | Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach
Belloni, Alexandre, Chernozhukov, Hansen | 2014 | Inference on Treatment Effects after Selection Amongst High Dimensional Controls
Belloni, Alexandre, Chernozhukov | 2013 | Least squares after model selection in high dimensional sparse Models
Belloni, Chen, Chernozhukov, Hansen | 2012 | Sparse Models and Methods for Optimal Instruments with an Application to Eminent Domain
Chernozhukov, Spindler - 2015 - Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach
Bloniarz, Liu, Zhang, Sekhon, Yu, 2016 - Lasso adjustments of treatment effect estimates in randomized experiments
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Leeb, Pötscher, 2005 - Model Selection and Inference
Hansen, Christian, Hausman, Newey, 2008 - Estimation with many instrumental variables
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Efron, Bradley, Hastie, Johnstone, Tibshirani - 2004 - Least angle regression
Friedman, Hastie, Tibshirani, 2001, The elements of statistical learning - TEXTBOOK