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
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆130Updated 2 years ago
- 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
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆157Updated 4 years ago
- ☆31Updated 3 years ago
- Software and data for "Using Text Embeddings for Causal Inference"☆125Updated 4 years ago
- Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. B…☆59Updated last year
- ☆87Updated 5 years ago
- Source code of the neural Hawkes particle smoothing (ICML 2019)☆43Updated 6 years ago
- A Point Process Toolbox Based on PyTorch☆132Updated 4 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated 2 years ago
- Software relating to relational empirical risk minimization☆17Updated 4 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- ☆29Updated 6 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
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- code for "Fully Neural Network based Model for General Temporal Point Processes"☆62Updated 4 years ago
- Causal inference for recommendation☆25Updated 6 years ago
- A curated list of awesome work on causal inference, particularly in machine learning.☆107Updated 4 years ago
- ☆40Updated 6 years ago
- Code for "Neural causal learning from unknown interventions"☆104Updated 5 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 2 years ago
- Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction☆72Updated 8 years ago
- Poincaré Embedding☆40Updated 7 years ago
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆93Updated 3 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Updated 3 years ago
- Code and data for the experiments in "On Fairness and Calibration"☆51Updated 3 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 4 years ago