The paper proposes a likelihood-based debiasing method that models correlated latent exogenous variables in recommender systems via a bivariate normal selection model and Monte Carlo estimation.
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Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
The paper proposes a likelihood-based debiasing method that models correlated latent exogenous variables in recommender systems via a bivariate normal selection model and Monte Carlo estimation.