Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
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Updated
Apr 18, 2023 - R
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Imputation method for scRNA-seq based on low-rank approximation
Factor-Based Imputation for Missing Data
mfair: Matrix Factorization with Auxiliary Information in R
Matrix completion algorithms, e.g. for recommender systems or predictions.
Low-rank Singular Value Decomposition (SVD) and Soft Impute Algorithm for matrix completion
Bachelor Thesis in Econometrics, Maastricht University
Replication code for "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction"
Scaled matrix completion and cell deconvolution with NanoString data, Yichen Zhang, 2019
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