rguo12

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-causality-data

A data index for learning causality.

Causal-Machine-Learning-Onboarding

Materials for onboarding toward a publication on causal machine learning, designed for people with data mining and machine learning background

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)

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.

network-deconfounder-wsdm20

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

rguo12-academic

Social-Influence-Prediction-by-Feature-Learning

First upload

ViralPred

Prediction of viral cascade with various models

rguo12/awesome-causality-algorithms

An index of algorithms for learning causality with data

rguo12/awesome-causality-data

A data index for learning causality.

rguo12/network-deconfounder-wsdm20

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

rguo12/CIKM18-LCVA

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

rguo12/KDD24-Conformal

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

rguo12/Causal-Machine-Learning-Onboarding

Materials for onboarding toward a publication on causal machine learning, designed for people with data mining and machine learning background

rguo12/ViralPred

Prediction of viral cascade with various models

rguo12/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.

rguo12/rguo12-academic

rguo12/2021-SIGIR-plackett-luce

rguo12/2022-SIGIR-plackett-luce

rguo12/CEVAE

Causal Effect Inference with Deep Latent-Variable Models

rguo12/conf_cf_inf_figures

rguo12/conf_rank_figure

rguo12/conformal_prediction_teaching

materials to teach conformal prediction

rguo12/data

Data and code behind the stories and interactives at FiveThirtyEight

rguo12/dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

rguo12/DMML-Reading-List

rguo12/DomainBed

DomainBed is a suite to test domain generalization algorithms

rguo12/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

rguo12/keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

rguo12/LeNet-5

PyTorch implementation of LeNet-5 with live visualization

rguo12/ood_bench

rguo12/pytorch-ntm

Neural Turing Machines (NTM) - PyTorch Implementation

rguo12/rguo12

rguo12/rguo12.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

rguo12/rguo12.github.io_old

A beautiful, simple, clean, and responsive Jekyll theme for academics

rguo12/rguo12.github.io_old1

rguo12/RGuo41.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

rguo12/scikit-feature

open-source feature selection repository in python (DMML Lab@ASU)