collaborators

19 papers

math.PR2026

Balancing fractional Brownian motion

Hengrui Luo, Yiming Xu

We study the discrepancy of balancing independent sample paths of fractional Brownian motion with Hurst exponent on , an infinite-dimensional analogue of bal…

cs.CL2026

Spectral Signatures of Large Language Models

Zhuoying Zhang, Ishan V. Prasad, Yuanzhe Hu +4

The rapidly growing repository of publicly available large language models (LLMs) presents significant challenges for systematic management and quantification at scale, such as mod…

stat.ME2026

Shrinkage priors for Bayesian Substitute Confounders

Yordan P. Raykov, Hengrui Luo, Justin D. Strait +1

Multi-cause observational studies contain information about unmeasured confounding through the dependence structure among causes. However, literal imputation of the unobserved conf…

stat.ML2026

Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity

Hengrui Luo, Anna Ma, Ludovic Stephan +1

We introduce Wedge Sampling, a new non-adaptive sampling scheme for low-rank tensor completion. We study recovery of an order- low-rank tensor of dimension $n\times\cdots\times…

math.NA2026

Minimizing the Arithmetic and Communication Complexity of Jacobi's Method for Eigenvalues and Singular Values: Part One -- Serial Algorithms

James Demmel, Hengrui Luo, Ryan Schneider +1

We analyze several versions of Jacobi's method for the symmetric eigenvalue problem. Our goal is to reduce the asymptotic cost of the algorithm as much as possible, as measured by…

math.ST2026

Stabilizing the Splits through Minimax Decision Trees

Zhenyuan Zhang, Hengrui Luo

By revisiting the end-cut preference (ECP) phenomenon associated with a single CART (Breiman et al. (1984)), we introduce MinimaxSplit decision trees, a robust alternative to CART…