mperezortiz / PBBLinks
PAC-Bayes with Backprop - Tighter risk certificates for neural networks
☆24Updated 4 years ago
Alternatives and similar repositories for PBB
Users that are interested in PBB are comparing it to the libraries listed below
Sorting:
- ☆53Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- ☆80Updated 4 years ago
- ☆170Updated last year
- Limitations of the Empirical Fisher Approximation☆47Updated 6 months ago
- ☆50Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- ☆54Updated last year
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Retrieve information from DBLP and update BibTex files automatically☆54Updated 3 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆23Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Optimizing PAC-Bayes bounds for Stochastic Neural Networks with Gaussian weights☆28Updated 4 years ago
- ☆37Updated 6 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 4 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- ☆13Updated 2 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆73Updated 9 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆246Updated 5 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆181Updated 4 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year