lopezpaz / causation_learning_theoryLinks
Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
☆30Updated 5 years ago
Alternatives and similar repositories for causation_learning_theory
Users that are interested in causation_learning_theory are comparing it to the libraries listed below
Sorting:
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- Variational Fourier Features☆85Updated 4 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- ☆146Updated 8 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- ☆11Updated 9 years ago
- Causal Inference & Deep Learning, MIT IAP 2018☆89Updated 7 years ago
- ☆12Updated 2 years ago
- Deep exponential families (DEFs)☆55Updated 7 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 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
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Dirichlet Process K-means☆48Updated last year
- Temporally-reweighted Chinese restaurant process mixture models for multivariate time series☆37Updated last year
- Bayesian or-of-and☆36Updated 3 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 9 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 4 years ago
- Code for "Neural causal learning from unknown interventions"☆105Updated 5 years ago
- ☆37Updated 7 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 5 years ago
- ☆24Updated 9 years ago