chris-nemeth / sgmcmc-review-paper
The code in this repository follows the paper "Stochastic gradient MCMC"
☆23Updated 5 years ago
Related projects: ⓘ
- Conditional calibration of conformal p-values for outlier detection.☆33Updated last year
- Course material for the PhD course in Advanced Bayesian Learning☆55Updated last week
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Implementation of Gibbs sampling for spike and slab priors☆18Updated 7 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 7 months ago
- A simple library to run variational inference on Stan models.☆18Updated last year
- R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)☆24Updated 4 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆43Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆59Updated 3 years ago
- Conformal Bayes with importance sampling☆18Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆37Updated last month
- some scripts for the couplings enthusiasts!☆30Updated 4 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆44Updated last year
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated last year
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆25Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆21Updated 11 months ago
- python code for kernel methods☆36Updated 5 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆91Updated 2 years ago
- ICML 2017. Kernel-based adaptive linear-time independence test.☆15Updated 2 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆28Updated 3 years ago
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆53Updated last year
- Stochastic Gradient Hamiltonian Monte Carlo☆14Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 3 years ago
- ☆13Updated 2 months ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆14Updated 4 years ago
- Variational inference for Bayesian logistic regression☆13Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆63Updated 5 years ago
- Train deepGLM with Matlab, R and Python☆26Updated last year