3 papers
math.ST2026
The Zero Pattern of a Design Matrix Drives Multiple Descent in Over-parameterized Regression
Kevin Han Huang, Haoyu Ye, Somak Laha +1
Over-parameterized linear regression has been widely studied over the last decade. However, most existing works assume that the covariates are independent and that their covariance…
math.ST2025
Computable Bounds for Strong Approximations with Applications
Haoyu Ye, Morgane Austern
The Komlós$\unicode{x2013}$Major$\unicode{x2013}$Tusnády (KMT) inequality for partial sums is one of the most celebrated results in probability theory. Yet its practical applicatio…
math.PR2024
Poisson approximation for stochastic processes summed over amenable groups
Haoyu Ye, Peter Orbanz, Morgane Austern
We generalize the Poisson limit theorem to binary functions of random objects whose law is invariant under the action of an amenable group. Examples include stationary random field…