3 papers
cs.LG2026
Distributed Sketching on Data Partitions for OLS Regression
Luyuan Yang, Brayden Garner, Shayan Shafaei +1
This paper studies distributed sketching for ordinary least squares (OLS) regression, an approach that distributes small sketches of a large data set over multiple machines to sepa…
stat.ML2026
Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin
Luyuan Yang, Shayan Shafaei, Chao Lan
Convergence-rate analysis for classifiers is often conducted under either Tsybakov margin or Massart margin. The former is a relatively weak condition that typically yields polynom…
cs.LG2019
Fair Kernel Regression via Fair Feature Embedding in Kernel Space
Austin Okray, Hui Hu, Chao Lan
In recent years, there have been significant efforts on mitigating unethical demographic biases in machine learning methods. However, very little is done for kernel methods. In thi…