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stat.ML2018
Randomized Iterative Algorithms for Fisher Discriminant Analysis
Agniva Chowdhury, Jiasen Yang, Petros Drineas
Fisher discriminant analysis (FDA) is a widely used method for classification and dimensionality reduction. When the number of predictor variables greatly exceeds the number of obs…
stat.ML2017★ 4 cited
Stochastic Gradient Descent for Relational Logistic Regression via Partial Network Crawls
Jiasen Yang, Bruno Ribeiro, Jennifer Neville
Research in statistical relational learning has produced a number of methods for learning relational models from large-scale network data. While these methods have been successfull…