vub-dl / u-cmab
Uplifted Contextual Multi-Armed Bandit
☆19Updated 2 years ago
Alternatives and similar repositories for u-cmab:
Users that are interested in u-cmab are comparing it to the libraries listed below
- Causal Simulations for Uplift Modeling☆12Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- ☆16Updated 5 years ago
- Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset☆56Updated 4 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated 7 months ago
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 2 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆87Updated 2 years ago
- ☆37Updated 6 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆82Updated 6 years ago
- Code for blog posts.☆19Updated last year
- Code for the paper "Temporally-Consistent Survival Analysis".☆24Updated 2 years ago
- ☆21Updated last year
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 7 months ago
- Lightweight uplift modeling framework for Python☆28Updated 5 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆24Updated 2 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆39Updated 3 years ago
- Estimators to perform off-policy evaluation☆13Updated 6 months ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆24Updated 2 years ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 3 years ago
- A new framework to generate interpretable classification rules☆17Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆72Updated 3 years ago
- Python code for NeurIPS 2018 paper "Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models"☆22Updated 5 years ago
- ☆29Updated 6 years ago
- ☆9Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 3 years ago
- ☆30Updated 4 years ago