vub-dl / cs-umLinks
Causal Simulations for Uplift Modeling
☆12Updated 5 years ago
Alternatives and similar repositories for cs-um
Users that are interested in cs-um are comparing it to the libraries listed below
Sorting:
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 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
- ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.☆130Updated 2 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
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated 2 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 4 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆57Updated 2 years ago
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Updated 4 years ago
- Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018☆62Updated 5 years ago
- ☆40Updated 6 years ago
- Non-parametrics for Causal Inference☆49Updated 3 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆158Updated 4 years ago
- Code for the experiments of Matrix Factorization Bandit☆24Updated 6 years ago
- ☆19Updated 5 years ago
- Implementation of paper Long-Term Effect Estimation with Surrogate Representation☆13Updated 4 years ago
- ☆30Updated 5 years ago
- Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"☆100Updated 6 years ago
- ☆11Updated 7 years ago
- Counterfactual Regression☆313Updated 2 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆70Updated 5 months ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Reimplementation of NOTEARS in Tensorflow☆33Updated 2 years ago
- ☆59Updated 3 years ago
- Causal inference for recommendation☆25Updated 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
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 8 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆147Updated last year
- CEVAE with VampPrior☆11Updated 7 years ago
- ☆87Updated 5 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆53Updated 4 years ago