sparseMCMC / NIPS2015
☆12Updated 9 years ago
Alternatives and similar repositories for NIPS2015:
Users that are interested in NIPS2015 are comparing it to the libraries listed below
- Variational Sparse Spectrum Gaussian Process toolkit☆22Updated 9 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Bayesian Nonparametric Mixture Models in Julia☆14Updated 7 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- Black Box Variational Inference☆14Updated 9 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38Updated 5 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
- ☆40Updated 5 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Gaussian Processes for Sequential Data☆18Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Preconditioning Kernel Matrices☆15Updated 8 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- code supplement for variational boosting (https://arxiv.org/abs/1611.06585)☆11Updated 7 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Python and MATLAB code for Stein Variational sampling methods☆24Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆37Updated 10 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- Expectation Particle Belief Propagation code☆12Updated 6 years ago