hichamjanati / mtw
Wasserstein regularization for sparse multi-task regression
☆15Updated 4 years ago
Alternatives and similar repositories for mtw:
Users that are interested in mtw are comparing it to the libraries listed below
- Morgan A. Schmitz., Matthieu Heitz, Nicolas Bonneel, Fred Ngole, David Coeurjolly, Marco Cuturi, Gabriel Peyré, and Jean-Luc Starck. "Was…☆18Updated 5 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 years ago
- ☆11Updated 8 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10Updated 6 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Determinantal Point Processes in Julia☆12Updated 5 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Python code for implementing embeddings in the Wasserstein space of elliptical distributions☆11Updated 4 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆44Updated this week
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Updated 5 years ago
- Software relating to relational empirical risk minimization☆17Updated 3 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆55Updated 6 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆36Updated 4 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Updated 6 years ago
- ☆13Updated 6 years ago
- ☆22Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- The Matlab Code for the ICML 2015 paper "Scalable Deep Poisson Factor Analysis for Topic Modeling"☆19Updated 9 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆18Updated 5 years ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Updated 6 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- ☆17Updated 6 years ago
- ☆12Updated 3 years ago