Pages that link to "Item:Q4637012"

The following pages link to Optimal Rates for Multi-pass Stochastic Gradient Methods (Q4637012):

Displaying 26 items.

• Generalization properties of doubly stochastic learning algorithms (Q1635837) (← links)
• Optimal prediction for high-dimensional functional quantile regression in reproducing kernel Hilbert spaces (Q1979424) (← links)
• Kernel conjugate gradient methods with random projections (Q1979923) (← links)
• Dimension independent excess risk by stochastic gradient descent (Q2084455) (← links)
• From inexact optimization to learning via gradient concentration (Q2111477) (← links)
• Understanding generalization error of SGD in nonconvex optimization (Q2127232) (← links)
• Score-matching representative approach for big data analysis with generalized linear models (Q2136616) (← links)
• Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces (Q2300763) (← links)
• A new filter‐based stochastic gradient algorithm for dual‐rate ARX models (Q4562532) (← links)
• Optimal Rates for Multi-pass Stochastic Gradient Methods (Q4637012) (← links)
• Harder, Better, Faster, Stronger Convergence Rates for Least-Squares Regression (Q4637017) (← links)
• On the regularizing property of stochastic gradient descent (Q4646419) (← links)
• (Q4969055) (← links)
• Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent (Q4969072) (← links)
• (Q4998897) (← links)
• An analysis of stochastic variance reduced gradient for linear inverse problems ^* (Q5019935) (← links)
• Regularization: From Inverse Problems to Large-Scale Machine Learning (Q5028166) (← links)
• Stochastic gradient descent for linear inverse problems in Hilbert spaces (Q5082036) (← links)
• On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems (Q5110563) (← links)
• (Q5148925) (← links)
• Decentralized learning over a network with Nyström approximation using SGD (Q6117024) (← links)
• Multi-index antithetic stochastic gradient algorithm (Q6171790) (← links)
• Online regularized learning algorithm for functional data (Q6193950) (← links)
• Pairwise learning problems with regularization networks and Nyström subsampling approach (Q6488738) (← links)
• Differentially private SGD with random features (Q6542573) (← links)
• High probability bounds for stochastic subgradient schemes with heavy tailed noise] (Q6633045) (← links)