161 citations · 653 across the 59 of their papers we have counts for
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math.OC2020
On stochastic mirror descent with interacting particles: convergence properties and variance reduction
Anastasia Borovykh, Nikolas Kantas, Panos Parpas +1
An open problem in optimization with noisy information is the computation of an exact minimizer that is independent of the amount of noise. A standard practice in stochastic approx…
math.OC2020
Manifold Learning for Accelerating Coarse-Grained Optimization
Dmitry Pozharskiy, Noah J. Wichrowski, Andrew B. Duncan +2
Algorithms proposed for solving high-dimensional optimization problems with no derivative information frequently encounter the "curse of dimensionality," becoming ineffective as th…