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From the Greene--Wu Convolution to Gradient Estimation over Riemannian
  Manifolds
v1v2v3v4 (latest)

From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds

17 August 2021
Tianyu Wang
Yifeng Huang
Didong Li
ArXiv (abs)PDFHTML

Papers citing "From the Greene--Wu Convolution to Gradient Estimation over Riemannian Manifolds"

5 / 5 papers shown
Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach
Federated Learning on Riemannian Manifolds: A Gradient-Free Projection-Based Approach
Hongye Wang
Zhaoye Pan
Chang He
Jiaxiang Li
Bo Jiang
189
1
0
30 Jul 2025
Zeroth-order Riemannian Averaging Stochastic Approximation Algorithms
Zeroth-order Riemannian Averaging Stochastic Approximation AlgorithmsSIAM Journal on Optimization (SIOPT), 2023
Jiaxiang Li
Krishnakumar Balasubramanian
Shiqian Ma
210
8
0
25 Sep 2023
Convergence Rates of Stochastic Zeroth-order Gradient Descent for Ł
  ojasiewicz Functions
Convergence Rates of Stochastic Zeroth-order Gradient Descent for Ł ojasiewicz Functions
Tianyu Wang
Yasong Feng
310
2
0
31 Oct 2022
Stochastic Zeroth Order Gradient and Hessian Estimators: Variance
  Reduction and Refined Bias Bounds
Stochastic Zeroth Order Gradient and Hessian Estimators: Variance Reduction and Refined Bias BoundsInformation and Inference A Journal of the IMA (JIII), 2022
Yasong Feng
Tianyu Wang
351
14
0
29 May 2022
On Sharp Stochastic Zeroth Order Hessian Estimators over Riemannian
  Manifolds
On Sharp Stochastic Zeroth Order Hessian Estimators over Riemannian Manifolds
Tianyu Wang
131
13
0
26 Jan 2022
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