AsaCooperStickland / Spike_And_Slab
Implementation of Gibbs sampling for spike and slab priors
☆18Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Spike_And_Slab
- The code in this repository follows the paper "Stochastic gradient MCMC"☆24Updated 5 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 9 months ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆46Updated last year
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆21Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆61Updated 3 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆18Updated 3 years ago
- Variational Gaussian Process State-Space Models☆21Updated 9 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆28Updated 4 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆38Updated 3 months ago
- A simple library to run variational inference on Stan models.☆27Updated last year
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'☆22Updated 10 years ago
- Conformal Bayes with importance sampling☆19Updated 3 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Stochastic Gradient Hamiltonian Monte Carlo☆14Updated 5 years ago
- A variational method for fast, approximate inference for stochastic differential equations.☆43Updated 6 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- Continual Gaussian Processes☆31Updated last year
- c-lasso: a Python package for constrained sparse regression and classification☆32Updated 3 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆82Updated 4 years ago
- Gaussian process regression + automatical model selection for logitudinal -omics data☆21Updated 3 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆147Updated 5 years ago
- Path algorithm for generalized lasso problems☆32Updated last year
- ☆13Updated last month
- mean-field and structured VAEs for the IBP☆23Updated 6 years ago
- Neural Processes implementation for 1D regression☆65Updated 5 years ago
- Collection of resources from each meetup event☆13Updated 3 years ago
- Dirichlet process mixture model.☆26Updated 10 years ago