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Found 6 papers, 1 papers with code
Optimality of variational inference for stochasticblock model with missing links
This provides the first minimax optimal and tractable estimator for the problem of parameter estimation for the stochastic block model with missing links.
Outliers Detection in Networks with Missing Links
The proposed method is statistically sound: we prove that, under fairly general assumptions, our algorithm exactly detects the outliers, and achieves the best known error for the prediction of missing links with polynomial computation cost.
Low-rank Interaction with Sparse Additive Effects Model for Large Data Frames
In this paper, we introduce a low-rank interaction and sparse additive effects (LORIS) model which combines matrix regression on a dictionary and low-rank design, to estimate main effects and interactions simultaneously.
Collective Matrix Completion
Usually in matrix completion a single matrix is considered, which can be, for example, a rating matrix in recommendation system.
Probabilistic low-rank matrix completion on finite alphabets
The task of reconstructing a matrix given a sample of observedentries is known as the matrix completion problem.
Adaptive Multinomial Matrix Completion
The task of estimating a matrix given a sample of observed entries is known as the \emph{matrix completion problem}.
