jan-glx / ICPyLinks
This packages provides a simple python implementation of Invariant Causal Prediction (ICP)
☆13Updated last year
Alternatives and similar repositories for ICPy
Users that are interested in ICPy are comparing it to the libraries listed below
Sorting:
- Approximate knockoffs and model-free variable selection.☆57Updated 4 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
- ☆18Updated 7 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆24Updated 3 years ago
- ☆51Updated last year
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 7 years ago
- ☆12Updated 2 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Updated 2 years ago
- ☆11Updated 3 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 6 years ago
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 5 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Updated 4 years ago
- ☆29Updated 4 years ago
- ☆33Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆66Updated 6 years ago
- Dirichlet Process K-means☆49Updated last year
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Updated 7 years ago
- Random feature latent variable models in Python☆23Updated 2 years ago
- The Union of Intersections Framework in Python☆15Updated last month
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 8 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆22Updated last year
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- ☆11Updated 9 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).☆20Updated last year