Ruocheng Guo

awesome-causality-algorithms. An index of algorithms for learning causality with data

awesome-causality-data. A data index for learning causality.

network-deconfounder-wsdm20. Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.

CIKM18-LCVA. Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

KDD24-Conformal. Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)

Causal-Machine-Learning-Onboarding. Materials for onboarding toward a publication on causal machine learning, designed for people with data mining and machine learning background

ViralPred. Prediction of viral cascade with various models

LightGBM. A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

Social-Influence-Prediction-by-Feature-Learning. First upload

rguo12-academic. Jupyter Notebook