yuachen / CausalDALinks
Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlmann
☆18Updated 3 years ago
Alternatives and similar repositories for CausalDA
Users that are interested in CausalDA are comparing it to the libraries listed below
Sorting:
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 5 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- ☆32Updated 6 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆32Updated 4 years ago
- ☆22Updated last year
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆31Updated 2 years ago
- ☆18Updated last year
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated last year
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 9 months ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Implementation of the ICML 2024 paper "Discovering Mixtures of Structural Causal Models from Time Series Data"☆21Updated 7 months ago
- ☆39Updated 6 years ago
- ☆11Updated 6 years ago
- Parametric and non-parametric conditional independence testing.☆10Updated 4 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆20Updated last year
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".☆10Updated 6 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Updated last year
- ☆35Updated 5 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆75Updated 4 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆66Updated 6 months ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 4 years ago
- Non-parametrics for Causal Inference☆47Updated 3 years ago