audeg / StochasticOTLinks
Stochastic Optimization for Optimal Transport
☆22Updated 8 years ago
Alternatives and similar repositories for StochasticOT
Users that are interested in StochasticOT are comparing it to the libraries listed below
Sorting:
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- Supporting code for "Parallel Streaming Wasserstein Barycenters"☆10Updated 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
- ☆12Updated 6 years ago
- Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" …☆25Updated 5 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- Learning generative models with Sinkhorn Loss☆29Updated 6 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆54Updated 8 months ago
- Black Box Variational Inference☆14Updated 10 years ago
- Python and MATLAB code for Stein Variational sampling methods☆25Updated 6 years ago
- ☆38Updated 4 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
- Optimal Transport for Dummies - Code, slides and article☆33Updated 8 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- A suite of stochastic optimization methods for solving the empirical risk minimization problem.☆16Updated 5 years ago
- ☆40Updated 6 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- J-D. Benamou, G. Carlier, M. Cuturi, L. Nenna, G. Peyré. Iterative Bregman Projections for Regularized Transportation Problems. SIAM Jour…☆32Updated 8 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Principled learning method for Wasserstein distributionally robust optimization with local perturbations (ICML 2020)☆21Updated 2 years ago
- Code for http://proceedings.mlr.press/v80/dvurechensky18a.html☆16Updated 6 years ago
- Python implementation of smooth optimal transport.☆58Updated 4 years ago
- Code for the Hamiltonian Variational Auto-Encoder from the proceedings of NeurIPS 2018☆14Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Updated 5 years ago