vveitch / causal-network-embeddingsLinks
Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"
☆57Updated 2 years ago
Alternatives and similar repositories for causal-network-embeddings
Users that are interested in causal-network-embeddings are comparing it to the libraries listed below
Sorting:
- Tensorflow 2 implementation of Causal-BERT☆71Updated last year
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 4 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆84Updated 7 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆61Updated last year
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆158Updated 4 years ago
- ☆87Updated 5 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆43Updated 6 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆130Updated 2 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆126Updated 5 years ago
- Code for ICML 2020 paper: "Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders" by I. …☆52Updated 4 years ago
- ☆30Updated 6 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- References for Papers at the Intersection of Causality and Fairness☆18Updated 6 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- A Point Process Toolbox Based on PyTorch☆133Updated 5 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- Feature Interaction Interpretability via Interaction Detection☆35Updated 2 years ago
- ☆40Updated 6 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆108Updated 4 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆26Updated 3 years ago
- Recurrent Marked Temporal Point Processes☆56Updated 4 years ago
- Causal inference for recommendation☆25Updated 6 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆91Updated 2 years ago
- Causal Explanation (CXPlain) is a method for explaining the predictions of any machine-learning model.☆132Updated 5 years ago
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆92Updated 3 years ago
- ☆31Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 4 years ago
- ☆14Updated 4 years ago