JeanKaddour / SINLinks
Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
☆42Updated 3 years ago
Alternatives and similar repositories for SIN
Users that are interested in SIN are comparing it to the libraries listed below
Sorting:
- Tensorflow implementation of Invariant Rationalization☆49Updated 2 years ago
- Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)☆27Updated 3 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- ☆65Updated last year
- Papers on Hyperbolic embeddings and Hyperbolic Neural Network☆35Updated 5 years ago
- ☆30Updated 7 years ago
- PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.☆19Updated 2 years ago
- CEVAE with VampPrior☆11Updated 7 years ago
- CausaLM: Causal Model Explanation Through Counterfactual Language Models☆56Updated 5 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆77Updated 4 years ago
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Updated 2 years ago
- This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"☆15Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆77Updated 3 years ago
- Explainable recommendation via interpretable feature mapping☆19Updated 5 years ago
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆46Updated last year
- ☆50Updated 2 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"☆18Updated 4 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 5 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 4 years ago
- ☆29Updated 3 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆37Updated 4 years ago
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆14Updated 4 years ago
- Code for TEDVAE, a VAE-based treatment effect estimation algorithm.☆25Updated 3 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆131Updated 2 years ago
- Code for ICML 2022 paper: Achieving Fairness at No Utility Cost via Data Reweighing with Influence☆11Updated 3 years ago
- ☆54Updated 3 years ago
- ☆26Updated 5 years ago
- ☆22Updated 5 years ago