wittawatj / fsic-test
ICML 2017. Kernel-based adaptive linear-time independence test.
☆16Updated 2 years ago
Alternatives and similar repositories for fsic-test:
Users that are interested in fsic-test are comparing it to the libraries listed below
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- python code for kernel methods☆38Updated 6 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆86Updated 3 years ago
- Classifier Conditional Independence Test: A CI test that uses a binary classifier (XGBoost) for CI testing☆46Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆81Updated 8 months ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆81Updated 4 years ago
- ☆40Updated 5 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- UAI 2020. Kernel goodness-of-fit tests for conditional density models.☆10Updated 4 years ago
- Code for Hidden Markov Nonlinear ICA☆24Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- Various estimators of the infinite dimensional exponential family model☆15Updated 7 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆117Updated 2 months ago
- VAEs and nonlinear ICA: a unifying framework☆33Updated 4 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆83Updated 5 years ago
- A community repository for benchmarking Bayesian methods☆109Updated 3 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 3 years ago
- Random Fourier Features☆50Updated 7 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Python code of Hilbert-Schmidt Independence Criterion☆84Updated 2 years ago
- Sequential Neural Likelihood☆39Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Time-Contrastive Learning☆64Updated 6 years ago
- A deep-learning-based conditional independence test that works for big, high-dimensional data.☆14Updated 7 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆43Updated 3 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Gaussian Process Prior Variational Autoencoder☆82Updated 6 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago