An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization

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An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization

12 April 2022

Yunan Yang

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Papers citing "An Algebraically Converging Stochastic Gradient Descent Algorithm for Global Optimization"

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Title
Sampling with Adaptive Variance for Multimodal Distributions Bjorn Engquist Kui Ren Yunan Yang 106 1 0 20 Nov 2024
Accelerating Convergence in Global Non-Convex Optimization with Reversible Diffusion Ryo Fujino 62 0 0 19 May 2023
Adaptive State-Dependent Diffusion for Derivative-Free Optimization Bjorn Engquist Kui Ren Yunan Yang 47 8 0 08 Feb 2023
State-Dependent Temperature Control for Langevin Diffusions Xuefeng Gao Z. Xu X. Zhou 74 28 0 15 Nov 2020
Replica Exchange for Non-Convex Optimization Jing-rong Dong Xin T. Tong 65 21 0 23 Jan 2020
Gradient Descent with Random Initialization: Fast Global Convergence for Nonconvex Phase Retrieval Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 71 237 0 21 Mar 2018
Convergence rates of efficient global optimization algorithms Adam D. Bull 131 641 0 18 Jan 2011