mingzhang-yin / CoCoLinks
An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages the invariance of causality over multiple environments.
☆14Updated 10 months ago
Alternatives and similar repositories for CoCo
Users that are interested in CoCo are comparing it to the libraries listed below
Sorting:
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- ☆35Updated 5 years ago
- ☆22Updated last year
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆30Updated last year
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- ☆11Updated 5 years ago
- Non-parametrics for Causal Inference☆47Updated 3 years ago
- ☆11Updated 6 years ago
- ☆32Updated 6 years ago
- Codebase for "Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions", ICML 2020.☆8Updated 4 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆12Updated 4 years ago
- ☆30Updated 4 years ago
- Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensig…☆21Updated 3 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- ☆39Updated 6 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- ☆44Updated 3 years ago
- ☆18Updated last year
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆11Updated 4 months ago
- ☆43Updated 6 years ago
- Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant predictio…☆22Updated last year
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆18Updated 4 years ago
- Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding☆22Updated 2 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- CEVAE with VampPrior☆11Updated 6 years ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆83Updated last year
- 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