mijungi / lllvm
☆16Updated 9 years ago
Alternatives and similar repositories for lllvm:
Users that are interested in lllvm are comparing it to the libraries listed below
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 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
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- FALKON implementation used in the experimental section of "FALKON: An Optimal Large Scale Kernel Method"☆29Updated 4 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆37Updated 11 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- ☆11Updated last year
- Collapsed Variational Bayes☆70Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆182Updated 6 years ago
- ☆40Updated 6 years ago
- Code for AutoGP☆26Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Black box variational inference for state space models☆1Updated 8 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Updated 4 years ago
- A collection of Gaussian process models☆30Updated 7 years ago