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Learning with Gradient Descent and Weakly Convex Losses
We study the learning performance of gradient descent when the empirical...
01/13/2021 ∙ by Dominic Richards, et al. ∙
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Decentralised Learning with Random Features and Distributed Gradient Descent
We investigate the generalisation performance of Distributed Gradient De...
07/01/2020 ∙ by Dominic Richards, et al. ∙
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Asymptotics of Ridge(less) Regression under General Source Condition
We analyze the prediction performance of ridge and ridgeless regression ...
06/11/2020 ∙ by Dominic Richards, et al. ∙
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Decentralised Sparse Multi-Task Regression
We consider a sparse multi-task regression framework for fitting a colle...
12/03/2019 ∙ by Dominic Richards, et al. ∙
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Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
We analyse the learning performance of Distributed Gradient Descent in t...
05/08/2019 ∙ by Dominic Richards, et al. ∙
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Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent
We propose graph-dependent implicit regularisation strategies for distri...
09/18/2018 ∙ by Dominic Richards, et al. ∙
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