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.NE2026
Evolving Multi-Channel Confidence-Aware Activation Functions for Missing Data with Channel Propagation
Naeem Shahabi Sani, Ferial Najiantabriz, Shayan Shafaei +1
Learning in the presence of missing data can result in biased predictions and poor generalizability, among other difficulties, which data imputation methods only partially address.…