This repository contains PyTorch code for the paper Stochastic Gaussian PAC-Bayes.
A novel PAC-Bayesian training method is implemented.
There are a few examples of how to run the code in the main.py script.
For any question, feel free to contact me.
pytorch-framework PyTorch common framework to accelerate network implementation, training and validation. This framework is inspired by works from MML
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This repository is the code for NeurIPS 2021 submission "A Surrogate Objective Framework for Prediction+Programming with Soft Constraints". Edit 2021/
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