AsaCooperStickland / Spike_And_SlabLinks
Implementation of Gibbs sampling for spike and slab priors
☆18Updated 8 years ago
Alternatives and similar repositories for Spike_And_Slab
Users that are interested in Spike_And_Slab are comparing it to the libraries listed below
Sorting:
- The code in this repository follows the paper "Stochastic gradient MCMC"☆26Updated 6 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Updated 4 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 8 months ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Updated 8 years ago
- R package to perform statistical inference in generative models using the Wasserstein distance (requires CGAL)☆28Updated 5 years ago
- Variational Gaussian Process State-Space Models☆25Updated 9 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆48Updated 2 years ago
- python code for kernel methods☆41Updated 6 years ago
- ☆11Updated 4 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Continual Gaussian Processes☆31Updated 2 years ago
- Unbiased Markov chain Monte Carlo with couplings☆30Updated 3 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Variational Inference in Gaussian Mixture Model☆60Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆38Updated 2 years ago
- ☆13Updated 3 years ago
- ☆21Updated 5 years ago
- Computational statistics and machine learning reading group at Imperial College London (2019-2020)☆24Updated 7 months ago
- ☆30Updated 7 years ago