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AdaDGS: An adaptive black-box optimization method with a nonlocal
  directional Gaussian smoothing gradient

AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient

3 November 2020
Hoang Tran
Guannan Zhang
ArXivPDFHTML

Papers citing "AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient"

5 / 5 papers shown
Title
Model Calibration of the Liquid Mercury Spallation Target using
  Evolutionary Neural Networks and Sparse Polynomial Expansions
Model Calibration of the Liquid Mercury Spallation Target using Evolutionary Neural Networks and Sparse Polynomial Expansions
M. Radaideh
Hoang Tran
Lianshan Lin
Hao Jiang
D. Winder
S. Gorti
Guannan Zhang
J. Mach
Sarah Cousineau
11
9
0
18 Feb 2022
Curvature-Aware Derivative-Free Optimization
Curvature-Aware Derivative-Free Optimization
Bumsu Kim
HanQin Cai
Daniel McKenzie
W. Yin
ODL
35
10
0
27 Sep 2021
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by
  Learning Distribution
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-box Problems by Learning Distribution
Minfang Lu
Shuai Ning
Shuangrong Liu
Fengyang Sun
Bo Zhang
Bo Yang
Linshan Wang
36
4
0
07 Feb 2021
A One-bit, Comparison-Based Gradient Estimator
A One-bit, Comparison-Based Gradient Estimator
HanQin Cai
Daniel McKenzie
W. Yin
Zhenliang Zhang
30
17
0
06 Oct 2020
Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz
Jacob Schrum
Jialin Liu
Simon Lucas
Adam M. Smith
S. Risi
GAN
65
230
0
02 May 2018
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