Search Results for author:
Found 2 papers, 0 papers with code
Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction
In this paper, new information-theoretical limits are presented to reveal the intrinsic cost of seeking for clusters, as well as the blessing from dimensionality in multivariate learning.
Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms and Theoretical Studies
Outliers widely occur in big-data applications and may severely affect statistical estimation and inference.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
