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
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 2 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 5 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
- ☆16Updated last year
- ☆40Updated 6 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- ☆11Updated 7 years ago
- TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".☆10Updated 7 years ago
- ☆24Updated 3 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆23Updated 2 years ago
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- ☆22Updated last year
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- Software for selective inference☆17Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆70Updated 10 months ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆63Updated 2 months ago
- Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.☆18Updated last year
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated last year
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆32Updated 2 years ago
- ☆18Updated last year
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆28Updated 5 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆85Updated last year
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆12Updated 5 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 4 years ago
- SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks☆13Updated 2 years ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated last year
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated 3 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 9 months ago