wojzaremba / btest
☆15Updated 10 years ago
Alternatives and similar repositories for btest:
Users that are interested in btest are comparing it to the libraries listed below
- Wasserstein regularization for sparse multi-task regression☆15Updated 4 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 years ago
- ☆16Updated 9 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Code for the icml paper "zero inflated exponential family embedding"☆29Updated 7 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
- ☆17Updated 6 years ago
- Hilbert-Schmidt Independence Criterion☆18Updated 10 years ago
- ☆13Updated 7 years ago
- Localized Multiple Kernel k-Means Clustering☆27Updated 5 years ago
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- A multi-algorithm Python framework for regularized regression☆13Updated last year
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆22Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Binary Classifier Calibration Models☆15Updated 8 years ago
- ☆11Updated 8 years ago
- Variational Bayesian Mixture of Factor Analysers☆23Updated 10 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Rudi, A., Camoriano, R. and Rosasco, L., Less is more: Nyström computational regularization. In Advances in Neural Information Processing…☆12Updated 5 years ago
- code for hierarchical importance weighted autoencoders☆11Updated 5 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Python package to sample from determinantal point processes☆18Updated 9 years ago
- Variational Inference/Variational AutoEncoder + Gaussian Mixtures implementation in zhusuan☆16Updated 7 years ago
- Deep Multiple Kernel Learning by Span Bound☆10Updated 10 years ago
- python code for kernel methods☆38Updated 6 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago