yuachen / CausalDALinks
Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlmann
☆18Updated 4 years ago
Alternatives and similar repositories for CausalDA
Users that are interested in CausalDA are comparing it to the libraries listed below
Sorting:
- ☆32Updated 7 years ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 4 years ago
- Conditional calibration of conformal p-values for outlier detection.☆37Updated 3 years ago
- ☆11Updated 7 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
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆37Updated 2 years ago
- ☆40Updated 6 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 6 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".☆10Updated 7 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆29Updated last year
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Updated last year
- Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"☆23Updated 6 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆21Updated 2 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 4 months ago
- ☆22Updated 2 years ago
- ☆24Updated 4 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.☆20Updated 2 years ago
- Minimax Estimation of Conditional Moment Models☆32Updated 2 years ago
- Statistical inference for fairness auditing☆14Updated 2 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆23Updated 3 years ago
- Conceptual & empirical comparisons between decision forests & deep networks☆18Updated 6 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 11 months ago
- TIme series DiscoverY BENCHmark (tidybench)☆38Updated last year