most citedVariance reduction for Riemannian non-convex optimization with batch size adaptation

5 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

math.OC2020★ 2 cited

Riemannian stochastic recursive momentum method for non-convex optimization

Andi Han, Junbin Gao

We propose a stochastic recursive momentum method for Riemannian non-convex optimization that achieves a near-optimal complexity of to find -approx…

math.OC2020★ 5 cited

Variance reduction for Riemannian non-convex optimization with batch size adaptation

Andi Han, Junbin Gao

Variance reduction techniques are popular in accelerating gradient descent and stochastic gradient descent for optimization problems defined on both Euclidean space and Riemannian…