12 citations · 26 across the 9 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
stat.ML2019
Implicit Regularization for Optimal Sparse Recovery
Tomas Vaškevičius, Varun Kanade, Patrick Rebeschini
We investigate implicit regularization schemes for gradient descent methods applied to unpenalized least squares regression to solve the problem of reconstructing a sparse signal f…
stat.ML2019
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
Dominic Richards, Patrick Rebeschini
We analyse the learning performance of Distributed Gradient Descent in the context of multi-agent decentralised non-parametric regression with the square loss function when i.i.d.…