Matthieu Solnon

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All published works

Action	Title	Year	Authors
+	Comparison bewteen multi-task and single-task oracle risks in kernel ridge regression	2013	Matthieu Solnon
+	Apprentissage statistique multi-tâches	2013	Matthieu Solnon
+	Multi-task Regression using Minimal Penalties	2011	Matthieu Solnon Sylvain Arlot Francis Bach

Common Coauthors

Coauthor	Papers Together
Francis Bach	1
Sylvain Arlot	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Adaptive Multivariate Ridge Regression	1980	Philip J. Brown James V. Zidek	3
+	Stein's Paradox in Statistics	1977	Bradley Efron Carl N. Morris	2
+ PDF Chat	Support union recovery in high-dimensional multivariate regression	2010	Guillaume Obozinski Martin J. Wainwright Michael I. Jordan	2
+	Data-driven calibration of penalties for least-squares regression	2008	Sylvain Arlot Pascal Massart	2
+ PDF Chat	Optimal Rates for the Regularized Least-Squares Algorithm	2006	Andrea Caponnetto Ernesto De Vito	2
+ PDF Chat	Sparsity in multiple kernel learning	2010	Vladimir Koltchinskii Ming Yuan	2
+ PDF Chat	Minimal Penalties for Gaussian Model Selection	2006	Lucien Birgé Pascal Massart	2
+ PDF Chat	A Model of Inductive Bias Learning	2000	J. Baxter	2
+ PDF Chat	Smoothing Spline ANOVA Models	2013	Chong Gu	2
+ PDF Chat	Optimal model selection in density estimation	2012	Matthieu Lerasle	2
+	Minimax Bayes, Asymptotic Minimax and Sparse Wavelet Priors	1994	Iain M. Johnstone	2
+	More Comments on C P	1995	Colin L. Mallows	1
+	Sharp analysis of low-rank kernel matrix approximations	2012	Francis Bach	1
+	Spline Models for Observational Data.	1991	Hans‐Georg Müller Grace Wahba	1
+	Data-driven calibration of linear estimators with minimal penalties	2009	Sylvain Arlot Francis Bach	1
+	Random design analysis of ridge regression	2011	Daniel Hsu Sham M. Kakade Tong Zhang	1
+	Application of ridge analysis to regression problems	1962	Arthur E. Hoerl Arthur E. Hoerl C. Hoerl	1
+	Clustered Multi-Task Learning: A Convex Formulation	2008	Laurent Jacob Francis Bach Jean‐Philippe Vert	1
+	Multi-task Regression using Minimal Penalties	2011	Matthieu Solnon Sylvain Arlot Francis Bach	1
+ PDF Chat	Low rank multivariate regression	2011	Christophe Giraud	1
+	Taking Advantage of Sparsity in Multi-Task Learning	2009	Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara A. van de Geer	1
+ PDF Chat	Optimal rates of convergence for covariance matrix estimation	2010	Tommaso Cai Cun-Hui Zhang Harrison H. Zhou	1
+ PDF Chat	Sparsistency and rates of convergence in large covariance matrix estimation	2009	Clifford Lam Jianqing Fan	1
+	Covariance regularization by thresholding	2008	Peter J. Bickel Elizaveta Levina	1
+ PDF Chat	A survey of cross-validation procedures for model selection	2010	Sylvain Arlot Alain Célisse	1
+	An Analysis of Random Design Linear Regression	2011	Daniel Hsu Sham M. Kakade Tong Zhang	1
+ PDF Chat	Oracle inequalities and optimal inference under group sparsity	2011	Karim Lounici Massimiliano Pontil Sara van de Geer Alexandre B. Tsybakov	1
+	Introduction to Nonparametric Estimation	2008	Alexandre B. Tsybakov	1
+	Concentration Inequalities and Model Selection	2007	Pascal Massart Jean Picard	1
+	Rééchantillonnage et sélection de modèles	2007	Sylvain Arlot	1
+	The group fused Lasso for multiple change-point detection	2011	Kevin Bleakley Jean‐Philippe Vert	1
+	Ridge Regression and James-Stein Estimation: Review and Comments	1979	Norman R. Draper R. Craig Van Nostrand	1
+ PDF Chat	Model selection by resampling penalization	2009	Sylvain Arlot	1
+	Ridge Regression: Biased Estimation for Nonorthogonal Problems	2000	Arthur E. Hoerl Robert W. Kennard	1
+ PDF Chat	Estimation of the Mean of a Multivariate Normal Distribution	1981	Charles Stein	1
+	Statistical Predictor Identification	1998	Hirotugu Akaike	1
+	Stein's Estimation Rule and its Competitors—An Empirical Bayes Approach	1973	Bradley Efron Carl N. Morris	1