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SketchySGD: Reliable Stochastic Optimization via Randomized Curvature
  Estimates

SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates

16 November 2022
Zachary Frangella
Pratik Rathore
Shipu Zhao
Madeleine Udell
ArXivPDFHTML

Papers citing "SketchySGD: Reliable Stochastic Optimization via Randomized Curvature Estimates"

3 / 3 papers shown
Title
Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project
Turbocharging Gaussian Process Inference with Approximate Sketch-and-Project
Pratik Rathore
Zachary Frangella
Sachin Garg
Shaghayegh Fazliani
Michał Dereziński
Madeleine Udell
7
0
0
19 May 2025
SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning
Jingruo Sun
Zachary Frangella
Madeleine Udell
38
0
0
28 Jan 2025
Newton Meets Marchenko-Pastur: Massively Parallel Second-Order
  Optimization with Hessian Sketching and Debiasing
Newton Meets Marchenko-Pastur: Massively Parallel Second-Order Optimization with Hessian Sketching and Debiasing
Elad Romanov
Fangzhao Zhang
Mert Pilanci
29
0
0
02 Oct 2024
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