3 citations · 4 across the 7 of their papers we have counts for
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math.OC2017
Stochastic Approximation on Riemannian manifolds
Suhail M. Shah
The standard theory of stochastic approximation (SA) is extended to the case when the constraint set is a Riemannian manifold. Specifically, the standard ODE method for analyzing S…
math.OC2017★ 1 cited
Distributed Optimization on Riemannian Manifolds for multi-agent networks
Suhail M. Shah
We consider the consensual distributed optimization problem in the Riemannian context. Specifically, the minimization of a sum of functions form is studied where each individual fu…
eess.SY2017
Distributed Stochastic Approximation with Local Projections
Suhail M. Shah, Vivek S. Borkar
We propose a distributed version of a stochastic approximation scheme constrained to remain in the intersection of a finite family of convex sets. The projection to the intersectio…