matthewwicker / StatisticalGuarenteesForBNNsLinks
Repository containing code for getting statistical guarantees on properties of BNNs
☆13Updated 6 years ago
Alternatives and similar repositories for StatisticalGuarenteesForBNNs
Users that are interested in StatisticalGuarenteesForBNNs are comparing it to the libraries listed below
Sorting:
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Updated 5 years ago
- ☆20Updated 5 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Updated 6 years ago
- A pytorch implementation of Amortized Stein Variational Gradient Descent/ Stein GAN☆19Updated 6 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆21Updated 2 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Updated 6 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- ☆50Updated 4 years ago
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated 2 months ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 4 years ago
- NeurIPS 2019 Paper Implementation☆12Updated 2 years ago
- Pytorch package for geometric softmax☆12Updated 6 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Updated 3 years ago
- Variational Reinforcement Learning☆16Updated last year
- ☆61Updated 2 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago