Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization

no code implementations • 2 Jun 2022 • Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng

Learning individual-level treatment effect is a fundamental problem in causal inference and has received increasing attention in many areas, especially in the user growth area which concerns many internet companies.

Causal Inference counterfactual +3

Mutual Information Minimization Based Disentangled Learning Framework For Causal Effect Estimation

no code implementations • 29 Sep 2021 • Mingyuan Cheng

Learning treatment effect from observational data is a fundamental problem in causal inference.

Causal Inference Representation Learning

Will\_go at SemEval-2020 Task 9: An Accurate Approach for Sentiment Analysis on Hindi-English Tweets Based on Bert and Pesudo Label Strategy

no code implementations • SEMEVAL 2020 • Wei Bao, Weilong Chen, Wei Bai, Yan Zhuang, Mingyuan Cheng, Xiangyu Ma

Mixing languages are widely used in social media, especially in multilingual societies like India.

Sentiment Analysis