ryokamoi / sg_langevin

Implementation of Stochastic Gradient Langevin Dynamics

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Implementation of "Bayesian Learning via Stochastic Gradient Langevin Dynamics"

This is not the original implementation.

Bayesian Learning via Stochastic Gradient Langevin Dynamics

Environment

  • Python 3.6.2
  • TensorFlow 1.10
  • See pip.freeze for details

Usage

Logistic regression

python main.py --hparams params/SGLD_LR

Results

Logistic regression

Author

Ryo Kamoi

About

Implementation of Stochastic Gradient Langevin Dynamics

License:MIT License


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Language:Python 100.0%