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:
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- 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"☆18Updated 4 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Variational Gaussian Process State-Space Models☆24Updated 9 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.☆33Updated 8 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- Parametric Gaussian Process Regression for Big Data☆45Updated 5 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆67Updated 6 months ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- ☆11Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Gaussian processes regression models with linear inequality constraints☆15Updated last year
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- ☆29Updated 7 years ago
- Codes for Hilbert space reduced-rank GP regression☆14Updated 6 years ago
- ☆29Updated 6 years ago
- ☆21Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Tuning-Free Huber Regression☆15Updated 3 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 11 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Updated 8 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Continual Gaussian Processes☆32Updated 2 years ago
- Multi-Output Gaussian Process Toolkit☆175Updated 2 months ago