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cs.LG2020★ 2 cited
Balance Regularized Neural Network Models for Causal Effect Estimation
Mehrdad Farajtabar, Andrew Lee, Yuanjian Feng +4
Estimating individual and average treatment effects from observational data is an important problem in many domains such as healthcare and e-commerce. In this paper, we advocate ba…
cs.LG2012★ 1 cited
Markov Random Walk Representations with Continuous Distributions
Chen-Hsiang Yeang, Martin Szummer
Representations based on random walks can exploit discrete data distributions for clustering and classification. We extend such representations from discrete to continuous distribu…