skolouri / Cumulative-Distribution-Transform
Cumulative Distribution Transform
☆16Updated 7 years ago
Alternatives and similar repositories for Cumulative-Distribution-Transform
Users that are interested in Cumulative-Distribution-Transform are comparing it to the libraries listed below
Sorting:
- Radon Cumulative Distribution Transform☆24Updated 4 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆38Updated 11 years ago
- ☆16Updated 9 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Optimal Transport for Dummies - Code, slides and article☆32Updated 7 years ago
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆42Updated 8 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Code for AutoGP☆26Updated 5 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 5 years ago
- Bayesian GPLVM in MATLAB and R☆74Updated 7 years ago
- ☆40Updated 6 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- ☆26Updated 7 years ago
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 6 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 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
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Proximal algorithms made easy in Python☆59Updated 8 years ago
- ☆11Updated last year
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Matlab code implementing Hamiltonian Annealed Importance Sampling for importance weight, partition function, and log likelihood estimatio…☆26Updated 10 years ago
- First-order optimization tools☆25Updated last year