brendenlake / structural-sparsityLinks
Structure learning for sparse graphs with latent variables
☆45Updated 9 years ago
Alternatives and similar repositories for structural-sparsity
Users that are interested in structural-sparsity are comparing it to the libraries listed below
Sorting:
- Matlab code implementing Minimum Probability Flow Learning.☆70Updated 11 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 11 years ago
- Preconditioning Kernel Matrices☆15Updated 9 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- Complete dictionary learning over the sphere using trust-region method☆16Updated 9 years ago
- ☆12Updated 2 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆36Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆25Updated 9 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Deep exponential families (DEFs)☆55Updated 8 years ago
- ☆30Updated 8 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 7 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆184Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Bayesian Effective Connectivity☆54Updated 7 years ago
- Implementation of Mapper algorithm for Topological Data Analysis☆46Updated 5 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 9 years ago
- Variational Walkback, NIPS'17☆28Updated 8 years ago
- ProbML: Symposium on Probabilistic Machine Learning☆50Updated this week
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- Modeling agents with probabilistic programs☆68Updated 6 years ago
- ☆66Updated 5 years ago
- Bernoulli Embeddings for Text☆84Updated 8 years ago