2 papers
stat.ME2026
Convolutional Maximum Mean Discrepancy for Inference in Noisy Data
Ritwik Vashistha, Jeff M. Phillips, Abhra Sarkar +1
Modern data analyses frequently encounter settings where samples of variables are contaminated by measurement error. Ignoring measurement noise can substantially degrade statistica…
cs.CG2026
Hardness of High-Dimensional Linear Classification
Alexander Munteanu, Simon Omlor, Jeff M. Phillips
We establish new exponential in dimension lower bounds for the Maximum Halfspace Discrepancy problem, which models linear classification. Both are fundamental problems in computati…