vub-dl / u-cmabLinks
Uplifted Contextual Multi-Armed Bandit
☆19Updated 3 years ago
Alternatives and similar repositories for u-cmab
Users that are interested in u-cmab are comparing it to the libraries listed below
Sorting:
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- 💊 Comparing causality methods in a fair and just way.☆141Updated 5 years ago
- (ICML2020) “Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models’’☆31Updated 2 years ago
- Time Series Forecasting and Imputation☆48Updated 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
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆72Updated 8 months ago
- A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …☆63Updated 4 years ago
- ☆17Updated 6 years ago
- ☆25Updated 2 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Updated 3 years ago
- ☆40Updated 7 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Updated last year
- WIP predicted survival functions☆38Updated 6 years ago
- Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset☆57Updated 5 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆177Updated 3 years ago
- ☆81Updated 5 years ago
- Causal Simulations for Uplift Modeling☆12Updated 5 years ago
- Code associated with paper: Plug-in Regularized Estimation of High-Dimensional Parameters in Nonlinear Semiparametric Models, Chernozhuk…☆16Updated 4 years ago
- A scikit-learn compatible implementation of hyperband☆77Updated 6 years ago
- Some notes on Causal Inference, with examples in python☆154Updated 5 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆54Updated 4 years ago
- stand alone Neural Additive Models, forked from google-reasearch for easy import to colab☆29Updated 5 years ago
- Multiple imputation utilising denoising autoencoder for approximate Bayesian inference☆122Updated 5 years ago
- An extension of CatBoost to probabilistic modelling☆148Updated 2 years ago
- 💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatm…☆93Updated 2 years ago
- ☆17Updated 9 years ago
- ☆11Updated 7 years ago
- Optimal Sparse Decision Trees☆107Updated 2 years ago
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Updated 4 years ago