chris-nemeth / sgmcmc-review-paper
The code in this repository follows the paper "Stochastic gradient MCMC"
☆26Updated 5 years ago
Alternatives and similar repositories for sgmcmc-review-paper
Users that are interested in sgmcmc-review-paper are comparing it to the libraries listed below
Sorting:
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated last year
- A simple library to run variational inference on Stan models.☆30Updated 2 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆27Updated last year
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 2 months ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆42Updated 9 months ago
- some scripts for the couplings enthusiasts!☆32Updated 4 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Robust initialisation of inducing points in sparse variational GP regression models.☆33Updated 2 years ago
- Gaussian processes regression models with linear inequality constraints☆14Updated 10 months ago
- ☆14Updated 6 months ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- Continual Gaussian Processes☆32Updated last year
- Implementation of the Gaussian Process Autoregressive Regression Model☆66Updated 3 months ago
- Self-tuning HMC algorithms and evaluations☆19Updated 7 months ago
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- ☆28Updated 6 years ago
- Implementation of Gibbs sampling for spike and slab priors☆18Updated 8 years ago
- probabilistic programming focused on fun☆40Updated 6 months ago
- Stochastic Gradient Hamiltonian Monte Carlo☆14Updated 5 years ago
- Efficient, lightweight variational inference and approximation bounds☆43Updated last year
- Variational inference for Bayesian logistic regression☆12Updated 5 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- The official implementation of Non-separable Spatio-temporal Graph Kernels via SPDEs.☆16Updated 2 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- Conditional density estimation with neural networks☆31Updated 3 months ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago