CausalML / interventions-disparate-impact-respondersLinks
Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds
☆11Updated 5 years ago
Alternatives and similar repositories for interventions-disparate-impact-responders
Users that are interested in interventions-disparate-impact-responders are comparing it to the libraries listed below
Sorting:
- ☆11Updated 5 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated 10 months ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆19Updated 3 months ago
- ☆11Updated 6 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Non-parametrics for Causal Inference☆47Updated 3 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆12Updated 4 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
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 9 months ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- 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
- ☆35Updated 5 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆83Updated 7 years ago
- The holdout randomization test: feature selection using black box predictive models☆21Updated 4 years ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- ☆95Updated last year
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆56Updated 2 years ago
- ☆42Updated 4 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆62Updated 4 years ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆30Updated last year
- TensorFlow implementation of 'Core', proposed in "Conditional Variance Penalties and Domain Shift Robustness".☆10Updated 6 years ago
- Perform bayesian distribution regression☆13Updated 7 years ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆22Updated 6 years ago
- Structural Causal Bandit☆24Updated 3 years ago
- ☆22Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- General Latent Feature Modeling for Heterogeneous data☆49Updated last year
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago