Richards, Dominic

7 publications

AISTATS 2021 Asymptotics of Ridge(less) Regression Under General Source Condition Dominic Richards, Jaouad Mourtada, Lorenzo Rosasco

AISTATS 2021 Learning with Gradient Descent and Weakly Convex Losses Dominic Richards, Mike Rabbat

NeurIPS 2021 Distributed Machine Learning with Sparse Heterogeneous Data Dominic Richards, Sahand Negahban, Patrick Rebeschini

NeurIPS 2021 Stability & Generalisation of Gradient Descent for Shallow Neural Networks Without the Neural Tangent Kernel Dominic Richards, Ilja Kuzborskij

ICML 2020 Decentralised Learning with Random Features and Distributed Gradient Descent Dominic Richards, Patrick Rebeschini, Lorenzo Rosasco

JMLR 2020 Graph-Dependent Implicit Regularisation for Distributed Stochastic Subgradient Descent Dominic Richards, Patrick Rebeschini

NeurIPS 2019 Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-up Dominic Richards, Patrick Rebeschini