jan-glx / ICPy
This packages provides a simple python implementation of Invariant Causal Prediction (ICP)
☆13Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for ICPy
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆19Updated last year
- 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 a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 5 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆16Updated 2 months ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 5 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆28Updated 3 years ago
- ☆30Updated 6 years ago
- ☆12Updated last year
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆20Updated 3 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆21Updated last year
- Approximate knockoffs and model-free variable selection.☆51Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆13Updated 5 years ago
- Random feature latent variable models in Python☆22Updated last year
- Scalable Bayes via Barycenter in Wasserstein Space☆9Updated 7 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- ☆17Updated 5 years ago
- ☆19Updated 2 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 3 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆20Updated 9 months ago
- Source for experiments in the Additive Gaussian process paper, as well as extensions relating to dropout.☆21Updated 10 years ago
- ☆11Updated 8 years ago
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Updated 3 years ago
- "Oblique Decision Trees from Derivatives of ReLU Networks" (ICLR 2020, previously called "Locally Constant Networks")☆21Updated 3 years ago
- ☆12Updated 6 years ago
- Official repository for the ICML 2022 DFUQ paper: conformal prediction sets for time-series☆10Updated 2 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Movies Recommendation with Hierarchical Poisson Factorization in Edward☆18Updated 7 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆13Updated 4 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 5 years ago