spsa

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

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

Stochastic Optimization Learning Tool

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

A numpy implementation of SPSA for optimizing neural networks

Repository to implement SPSA

SPSA tuner for UCI chess variant engines

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

A Julia implementation of Simultaneous Perturbation Stochastic Approximation

Thesis Research for Bachelors of CSAI at IE University School of Science and Technology. Implementing a hybrid quantum-classical Variational Quantum Eigensolver (VQE) stack with MPI-based distributed Pauli-term evaluation, NVIDIA CUDA acceleration, and IBM Quantum cloud integration for scalable molecular energy computation

Hardware-aware characterization study of constrained QAOA portfolio optimization under shared cost budgets.

SPSA clustering of a GMM

auto-apply SPSA tuning results to Stockfish source code

A differentiable planning-as-inference compiler: compiles latent world-model trajectories into an energy field and relaxes discrete actions into continuous logits, with an exact CP-SAT backend to verify the relaxation decoded correctly.

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