209 citations · 415 across the 30 of their papers we have counts for
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math.OC2019★ 9 cited
Towards closing the gap between the theory and practice of SVRG
Othmane Sebbouh, Nidham Gazagnadou, Samy Jelassi +2
Among the very first variance reduced stochastic methods for solving the empirical risk minimization problem was the SVRG method (Johnson & Zhang 2013). SVRG is an inner-outer loop…
math.OC2019★ 1 cited
RSN: Randomized Subspace Newton
Robert M. Gower, Dmitry Kovalev, Felix Lieder +1
We develop a randomized Newton method capable of solving learning problems with huge dimensional feature spaces, which is a common setting in applications such as medical imaging,…