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Learning partially ranked data based on graph regularization
Our estimation procedure leverages a graph regularization in conjunction with the Expectation-Maximization algorithm.
Analysis of Noise Contrastive Estimation from the Perspective of Asymptotic Variance
First, we propose a method for reducing asymptotic variance by estimating the parameters of the auxiliary distribution.
Empirical Bayes Matrix Completion
We develop an empirical Bayes (EB) algorithm for the matrix completion problems.
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