A numpy implementation of SPSA for optimizing neural networks

SPSA clustering of a GMM

A Julia implementation of Simultaneous Perturbation Stochastic Approximation

auto-apply SPSA tuning results to Stockfish source code

The SM-SPSA algorithm optimises a function over the stationary distribution of a Markov chain.

Code for experiments in paper: Non-Asymptotic Bounds for Zeroth-Order Stochastic Optimization

MPS-APO is a rapid and automatic parameter optimizer for multiple-point geostatistics

随机扰动近似算法 Stochastic perturbation approximation algorith—— python实现

Repository to implement SPSA

SPSA tuner for UCI chess variant engines

Stochastic Optimization Learning Tool

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.