BigBayes / SMS
Sampling via Moment Sharing
☆11Updated 9 years ago
Related projects: ⓘ
- Stochastic Gradient Riemannian Langevin Dynamics☆32Updated 9 years ago
- Matlab Code for Variational Gaussian Copula Inference☆16Updated 8 years ago
- ☆11Updated 8 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Black Box Variational Inference☆14Updated 9 years ago
- Code to related to my NIPS 2016 paper☆10Updated 7 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆36Updated 7 years ago
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- Code for doubly stochastic gradients☆25Updated 9 years ago
- Additive Gaussian Process Bandits - version 1.0☆25Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 8 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- A MATLAB project containing many popular / existing constrained clustering algorithms☆27Updated 6 years ago
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆32Updated 10 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆10Updated 3 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 6 years ago
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆19Updated 4 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
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆44Updated last year
- Multi Task Learning Package for Matlab☆21Updated 5 years ago
- A collection of Gaussian process models☆29Updated 7 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆10Updated 4 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆28Updated 6 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆41Updated 9 years ago
- Optimization using Stochastic quasi-Newton methods☆42Updated 7 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Updated 9 years ago
- Gradient-based Adaptive Markov chain Monte Carlo☆28Updated 4 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Repo for a paper about constructing priors on very deep models.☆69Updated 8 years ago