PAC-Bayesian aggregation of linear estimators

DMCA

PAC-Bayesian aggregation of linear estimators (2014)

Cached

Download Links

[arxiv.org]

by Unknown Authors

Citations

3640	Bagging predictors - Breiman - 1994 (Show Context) Citation Context ...egation. Aggregation procedures have been introduced by Vovk [1990], Littlestone and Warmuth [1994], Cesa-Bianchi et al. [1997], Cesa-Bianchi and Lugosi [1999]. They are a core ingredient of bagging [=-=Breiman, 1996-=-], boosting [Freund, 1995, Schapire, 1990] or random forest (Amit and Geman [1997] or Breiman [2001]; or more recently Biau et al. [2008], Biau and Devroye [2010], Biau [2012], Genuer [2011]). The gen...
3605	Random Forests - Breiman - 2001
868	The weighted majority algorithm - Littlestone, Warmuth - 1994
862	The strength of weak learnability - Schapire - 1990 (Show Context) Citation Context ...n introduced by Vovk [1990], Littlestone and Warmuth [1994], Cesa-Bianchi et al. [1997], Cesa-Bianchi and Lugosi [1999]. They are a core ingredient of bagging [Breiman, 1996], boosting [Freund, 1995, =-=Schapire, 1990-=-] or random forest (Amit and Geman [1997] or Breiman [2001]; or more recently Biau et al. [2008], Biau and Devroye [2010], Biau [2012], Genuer [2011]). The general aggregation framework is detailed in...
512	Boosting a weak learning algorithm by majority - Freund - 1995 (Show Context) Citation Context ...dures have been introduced by Vovk [1990], Littlestone and Warmuth [1994], Cesa-Bianchi et al. [1997], Cesa-Bianchi and Lugosi [1999]. They are a core ingredient of bagging [Breiman, 1996], boosting [=-=Freund, 1995-=-, Schapire, 1990] or random forest (Amit and Geman [1997] or Breiman [2001]; or more recently Biau et al. [2008], Biau and Devroye [2010], Biau [2012], Genuer [2011]). The general aggregation framewor...
376	How to use expert advice - Cesa-Bianchi, Freund, et al. - 1997
302	Aggregating strategies - Vovk - 1990
262	Shape quantization and recognition with randomized trees - Amit, Geman - 1997
145	Statistical Learning Theory and Stochastic Optimization, Lectures on Probability and Statistics, Ecole d’Eté de - Catoni - 2004
71	Information theory and mixing least-squares regressions. - Leung, Barron - 2006
67	PAC-Bayesian supervised classification: the thermodynamics of statistical learning - Catoni - 2007
64	Adaptive regression by mixing, - Yang - 2001
57	Square-root lasso: Pivotal recovery of sparse signals via conic programming - BELLONI, CHERNOZHUKOV, et al. - 2011
54	Aggregation by exponential weighting, sharp PAC-Bayesian bounds and sparsity. - Dalalyan, Tsybakov - 2008
54	Mixing strategies for density estimation. - Yang - 2000
53	Aggregation by exponential weighting and sharp oracle inequalities. - Dalalyan, Tsybakov - 2007
51	Combining different procedures for adaptive regression - Yang - 2000
46	Consistency of random forests and other averaging classifiers. - Biau, Devroye, et al. - 2008
39	Combining forecasting procedures: some theoretical results, Econometric Theory, - Yang - 2004
37	Linear and convex aggregation of density estimators. - Rigollet, Tsybakov - 2007
37	Regression with multiple candidate models: selecting or mixing? - Yang - 2003
36	Scaled sparse linear regression - Sun, Zhang - 2012
33	Sparse regression learning by aggregation and Langevin Monte-Carlo. - Dalalyan, Tsybakov - 2012
33	Topics in non-parametric statistics. Lectures on probability theory and statistics (Saint-Flour - Nemirovski - 1998
31	PAC-Bayesian bounds for sparse regression estimation with exponential weights - Alquier, Lounici
25	A tail inequality for quadratic forms of subgaussian random vectors - Hsu, Kakade, et al.
19	On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification - Biau, Devroye
18	oracle inequalities for aggregation of affine estimators - Dalalyan, Salmon, et al.
13	Generalized mirror averaging and D-convex aggregation. Mathematical methods of statistics 16 - Lounici - 2007
10	Deviation optimal learning using greedy Q-aggregation. Annals of Statistics - Dai, Rigollet, et al. - 2012
10	High-dimensional regression with unknown variance - Giraud, Huet, et al. - 2012
10	Optimal rates of aggregation in classification under low noise assumption - Lecué - 2007
9	PAC-Bayesian estimation and prediction in sparse additive models,” Electronic - Guedj, Alquier - 2013
7	Consistency of Random Forests - Biau, Devroye, et al.
7	Adaptive estimation in pattern recognition by combining different procedures - Yang
3	Aggregation of affine estimators - Dai, Rigollet, et al.
2	SOCP Based Variance Free Dantzig Selector with Application to Robust Estimation - Dalalyan - 2012
2	Learning heteroscedastic models by convex programming under group sparsity - Dalalyan, Hebiri, et al. - 2013
2	Forêts aléatoires : aspects théoriques, sélection de variables et applications - Genuer - 2011
1	Concentration of quadratic forms and aggregation of affine estimators. arXiv - Bellec - 2014
1	Inégalités d’oracle, agrégration et adaptation - Rigollet - 2006