Pratik Rathore

activity

20182026

most citedChallenges in Training PINNs: A Loss Landscape Perspective

40 citations · 41 across the 7 of their papers we have counts for

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2 papers · 1 filter

math.OC2023

PROMISE: Preconditioned Stochastic Optimization Methods by Incorporating Scalable Curvature Estimates

Zachary Frangella, Pratik Rathore, Shipu Zhao +1

This paper introduces PROMISE ( $Pr$ econditioned Stochastic $O$ ptimization $M$ ethods by $I$ ncorporating $S$ calable Curvature $\textbf{E}…

math.OC2022

SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates

Zachary Frangella, Pratik Rathore, Shipu Zhao +1

SketchySGD improves upon existing stochastic gradient methods in machine learning by using randomized low-rank approximations to the subsampled Hessian and by introducing an automa…