wittawatj / interpretable-test
NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.
☆62Updated 6 years ago
Related projects: ⓘ
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆66Updated 5 years ago
- Code for "How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks"☆98Updated 8 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- Gaussian Processes in Pytorch☆74Updated 4 years ago
- ☆39Updated 5 years ago
- Deep Generative Models with Stick-Breaking Priors☆94Updated 8 years ago
- Variational Fourier Features☆81Updated 3 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆40Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆38Updated 3 years ago
- Repo for a paper about constructing priors on very deep models.☆69Updated 8 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆38Updated 7 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Deep exponential families (DEFs)☆56Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 3 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆64Updated 4 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆43Updated 6 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆67Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- MMD and Relative MMD test☆30Updated 8 years ago
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Updated 4 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆17Updated 4 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated last year
- Implementation of Sequential Variational Autoencoder☆84Updated 7 years ago