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On The Convergence of First Order Methods for Quasar-Convex Optimization

On The Convergence of First Order Methods for Quasar-Convex Optimization

10 October 2020
Jikai Jin
ArXivPDFHTML

Papers citing "On The Convergence of First Order Methods for Quasar-Convex Optimization"

4 / 4 papers shown
Title
Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles
Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles
Amir Ali Farzin
Yuen-Man Pun
Iman Shames
31
0
0
04 May 2025
On the Convergence to a Global Solution of Shuffling-Type Gradient
  Algorithms
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
Lam M. Nguyen
Trang H. Tran
24
2
0
13 Jun 2022
Federated Minimax Optimization: Improved Convergence Analyses and
  Algorithms
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
Pranay Sharma
Rohan Panda
Gauri Joshi
P. Varshney
FedML
19
46
0
09 Mar 2022
Tackling benign nonconvexity with smoothing and stochastic gradients
Tackling benign nonconvexity with smoothing and stochastic gradients
Harsh Vardhan
Sebastian U. Stich
16
8
0
18 Feb 2022
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