Pages that link to "Item:Q4874940"

The following pages link to On the Averaged Stochastic Approximation for Linear Regression (Q4874940):

Displaying 18 items.

• Estimation of regression parameters with arbitrary noise (Q1332102) (← links)
• Weighted averaging and stochastic approximation (Q1367100) (← links)
• Averaging with feedback in Gaussian schemes for stochastic approximation (Q1376537) (← links)
• Stochastic approximation for local martingale error and random gain process. (Q1856481) (← links)
• Averaging for estimating covariances in stochastic approximation (Q1894109) (← links)
• Some results about averaging in stochastic approximation (Q1902154) (← links)
• Online estimation of the asymptotic variance for averaged stochastic gradient algorithms (Q2317311) (← links)
• The multivariate Révész's online estimator of a regression function and its averaging (Q2396740) (← links)
• The averaged Robbins-Monro method for linear problems in a Banach space (Q2433968) (← links)
• On stochastic approximation procedures with averaging (Q2711148) (← links)
• Recursive least-squares and accelerated convergence in stochastic approximation schemes (Q2722623) (← links)
• On averaging methods for identification of linear regression models (Q2745772) (← links)
• Revisiting R\'ev\'esz's stochastic approximation method for the estimation of a regression function (Q3623899) (← links)
• The experimental localization of Aubry–Mather sets using regularization techniques inspired by viscosity theory (Q3636593) (← links)
• Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression (Q4637017) (← links)
• A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation (Q5003727) (← links)
• Functional central limit theorem and strong law of large numbers for stochastic gradient Langevin dynamics (Q6073851) (← links)
• Convergence guarantees for forward gradient descent in the linear regression model (Q6592792) (← links)