collaborators

5 papers

stat.ML2026

Inference of Online Newton Methods with Nesterov's Accelerated Sketching

Haoxuan Wang, Xinchen Du, Sen Na

Reliable decision-making with streaming data requires principled uncertainty quantification of online methods. While first-order methods enable efficient iterate updates, their inf…

math.OC2026

Parallel Sequential Quadratic Programming with Overlapping Graph Decomposition and Exact Augmented Lagrangian

Runxin Ni, Haoxuan Wang, Sen Na +2

In this paper, we address the challenge of solving large-scale graph-structured nonlinear programs (gsNLPs) in a scalable manner. GsNLPs are problems in which the objective and con…

stat.ML2026

Online Covariance Matrix Estimation in Sketched Newton Methods

Wei Kuang, Mihai Anitescu, Sen Na

Given the ubiquity of streaming data, online algorithms have been widely used for parameter estimation, with second-order methods particularly standing out for their efficiency and…

math.OC2025

Overlapping Schwarz Scheme for Linear-Quadratic Programs in Continuous Time

Hongli Zhao, Mihai Anitescu, Sen Na

We present an optimize-then-discretize framework for solving linear-quadratic optimal control problems (OCP) governed by time-inhomogeneous ordinary differential equations (ODEs).…

stat.ML2025

Online Covariance Estimation in Nonsmooth Stochastic Approximation

Liwei Jiang, Abhishek Roy, Krishna Balasubramanian +3

We consider applying stochastic approximation (SA) methods to solve nonsmooth variational inclusion problems. Existing studies have shown that the averaged iterates of SA methods e…