vsmolyakov / DP_means
Dirichlet Process K-means
☆46Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for DP_means
- ☆11Updated 8 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
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆63Updated 5 years ago
- Variational Fourier Features☆83Updated 3 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆32Updated 9 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆42Updated 3 years ago
- ☆22Updated 9 years ago
- Implementation of linear CorEx and temporal CorEx.☆36Updated 3 years ago
- Randomized Tensor Decompositions☆30Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 8 years ago
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆17Updated 3 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Python implementation of smooth optimal transport.☆56Updated 3 years ago
- Collapsed Variational Bayes☆67Updated 5 years ago
- ☆40Updated 5 years ago
- Code for the paper "A Kernel Test of Goodness of Fit" by Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton☆24Updated 8 years ago
- Perform tensor-on-tensor regression☆19Updated 5 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 6 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆29Updated 4 years ago
- Scalable Log Determinants for Gaussian Process Kernel Learning (https://arxiv.org/abs/1711.03481) (NIPS 2017)☆18Updated 7 years ago
- Sparse-input neural networks☆22Updated last year
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Bayesian or-of-and☆34Updated 2 years ago