ENTITY
Spectral algorithms for supervised learning
Spectral algorithms for supervised learning
PulseAugur coverage of Spectral algorithms for supervised learning — every cluster mentioning Spectral algorithms for supervised learning across labs, papers, and developer communities, ranked by signal.
Total · 30d
2
2 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
2
2 over 90d
TIER MIX · 90D
TOPICS
SENTIMENT · 30D
1 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
-
New research bounds spectral ranking errors against adaptive adversaries
Researchers have analyzed the entry-wise error of spectral algorithms used for ranking items based on pairwise comparisons. The study focuses on the Bradley-Terry-Luce (BTL) model and investigates how performance is aff…
-
Spectral algorithms in large dimensions reveal three learning curve regimes
A new research paper published on arXiv explores the learning curves and benign overfitting phenomena in spectral algorithms within large-dimensional settings. The study characterizes the excess risk across different re…