AsaCooperStickland / Spike_And_SlabLinks
Implementation of Gibbs sampling for spike and slab priors
β18Updated 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"β26Updated 5 years ago
- π€Ώ Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0β26Updated last year
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)β65Updated 6 years ago
- sgmcmc: a stochastic gradient MCMC package for Rβ29Updated 4 years ago
- Implementation of the Gaussian Process Autoregressive Regression Modelβ67Updated 5 months ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)β20Updated 5 years ago
- python code for kernel methodsβ38Updated 6 years ago
- c-lasso: a Python package for constrained sparse regression and classificationβ32Updated 4 years ago
- β12Updated 7 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"β18Updated 4 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter BΓΌhlmaβ¦β18Updated 4 years ago
- Unbiased Markov chain Monte Carlo with couplingsβ29Updated 2 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inferenceβ150Updated 6 years ago
- Tools to construct canonical and regular vines. StarVine can also be used as a bivariate copula fitting tool.β15Updated 4 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariancesβ48Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflowβ28Updated 6 years ago
- Computational statistics and machine learning reading group at Imperial College London (2019-2020)β24Updated 3 months ago
- Continual Gaussian Processesβ32Updated last year
- Heterogeneous Multi-output Gaussian Processesβ52Updated 5 years ago
- β28Updated 6 years ago
- Variational Gaussian Process State-Space Modelsβ24Updated 9 years ago
- Tuning-Free Huber Regressionβ15Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"β82Updated last year
- Hierarchical Change-Point Detectionβ14Updated 6 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"β28Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"β31Updated 4 years ago
- β14Updated last year
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conveβ¦β58Updated 2 years ago
- TIme series DiscoverY BENCHmark (tidybench)β38Updated last year
- Code for the paper 'Efficient Variational Inference for Gaussian Process Regression Networks'β22Updated 11 years ago