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:
- Uncertainty in Conditional Average Treatment Effect Estimation☆32Updated 4 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b …☆20Updated last year
- Random feature latent variable models in Python☆22Updated last year
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 5 years ago
- ☆32Updated 6 years ago
- ☆11Updated last year
- ☆17Updated 6 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 8 months ago
- ☆19Updated 3 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆13Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆21Updated 3 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- The holdout randomization test: feature selection using black box predictive models☆21Updated 4 years ago
- Approximate knockoffs and model-free variable selection.☆55Updated 3 years ago
- python code for kernel methods☆38Updated 6 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- ☆19Updated 5 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Updated 4 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 4 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆23Updated 6 years ago
- ☆29Updated 3 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆22Updated 11 years ago
- ☆11Updated 8 years ago