R
Raha Moraffah
Researcher at Arizona State University
Publications - 20
Citations - 305
Raha Moraffah is an academic researcher from Arizona State University. The author has contributed to research in topics: Computer science & Causal inference. The author has an hindex of 5, co-authored 15 publications receiving 112 citations.
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Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
TL;DR: This work presents a comprehensive survey on causal interpretable models from the aspects of the problems and methods and provides in-depth insights into the existing evaluation metrics for measuring interpretability, which can help practitioners understand for what scenarios each evaluation metric is suitable.
Journal ArticleDOI
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation
TL;DR: This article presented a comprehensive survey on causal interpretable models from the aspects of the problems and methods, and provided in-depth insights into the existing evaluation metrics for measuring interpretability, which can help practitioners understand for what scenarios each evaluation metric is suitable.
Proceedings ArticleDOI
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
TL;DR: In this paper, a generative model called Linked Causal Variational Autoencoder (LCVA) is proposed, which incorporates an encoder neural network to learn the latent attributes and a decoder network to reconstruct the inputs.
Journal ArticleDOI
Causal inference for time series analysis: problems, methods and evaluation
Raha Moraffah,Paras Sheth,Mansooreh Karami,Anchit Bhattacharya,Qianru Wang,Anique Tahir,Adrienne Raglin,Huan Liu +7 more
TL;DR: In this paper, the authors focus on two causal inference tasks, i.e., treatment effect estimation and causal discovery for time series data and provide a comprehensive review of the approaches in each task.
Proceedings ArticleDOI
Database System Support for Personalized Recommendation Applications
TL;DR: The anatomy of RecDB an open source PostgreSQLbased system that provides a unified approach for declarative data recommendation inside the database engine and shows that a recommendation-aware database engine, i.e., RecDB, outperforms the classic approach that implements the recommendation logic on-top of thedatabase engine in various recommendation applications.