Loss minimization and parameter estimation with heavy tails

7 July 2013

Papers citing "Loss minimization and parameter estimation with heavy tails"

7 / 7 papers shown

Title
Regularized least squares learning with heavy-tailed noise is minimax optimal Mattes Mollenhauer Nicole Mücke Dimitri Meunier Arthur Gretton 50 0 0 20 May 2025
Robust and Scalable Variational Bayes Carlos Misael Madrid Padilla Shitao Fan Lizhen Lin 72 0 0 16 Apr 2025
Bandits with heavy tail Sébastien Bubeck Nicolò Cesa-Bianchi Gábor Lugosi 144 287 0 08 Sep 2012
Adaptive robust variable selection Jianqing Fan Yingying Fan Emre Barut 557 200 0 22 May 2012
$Covariance estimation for distributions with $2+\varepsilon$ moments$ Covariance estimation for distributions with $2+\varepsilon$ moments N. Srivastava Roman Vershynin 72 117 0 14 Jun 2011
Nuclear norm penalization and optimal rates for noisy low rank matrix completion V. Koltchinskii Alexandre B. Tsybakov Karim Lounici 172 663 0 29 Nov 2010
Some sharp performance bounds for least squares regression with $L_1$ regularization Tong Zhang 129 268 0 20 Aug 2009