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20242026
most citedOn Approximate Fully-Dynamic Matching and Online Matrix-Vector Multiplication

1 citations · 1 across the 4 of their papers we have counts for

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cs.DS2026

Near-Optimal Oracle Bounds for Isotropic Rounding

Yang P. Liu, Richard Peng, Alicia Stepin +1

We give optimal bounds, up to polylogarithmic factors, for rounding convex bodies to near-isotropic position. A convex body in can be rou…

cs.DS2025

Adaptive Matrix Sparsification and Applications to Empirical Risk Minimization

Yang P. Liu, Richard Peng, Colin Tang +2

Consider the empirical risk minimization (ERM) problem, which is stated as follows. Let be compact convex sets with for $i \in [m…

cs.DS2025

Sparsifying Sums of Positive Semidefinite Matrices

Arpon Basu, Pravesh K. Kothari, Yang P. Liu +1

In this paper, we revisit spectral sparsification for sums of arbitrary positive semidefinite (PSD) matrices. Concretely, for any collection of PSD matrices $\mathcal{A} = \{A_1, A…

cs.DS2025

Incremental Shortest Paths in Almost Linear Time via a Modified Interior Point Method

Yang P. Liu

We give an algorithm that takes a directed graph undergoing edge insertions with lengths in , and maintains -approximate shortest path distances from a fixed…

cs.DS2025

Approximate Spanning Tree Counting from Uncorrelated Edge Sets

Yang P. Liu, Richard Peng, Junzhao Yang

We show an time algorithm that on a graph with edges and vertices outputs its spanning tree count up to a multiplicative factor with…

cs.DS2024★ 1 cited

On Approximate Fully-Dynamic Matching and Online Matrix-Vector Multiplication

Yang P. Liu

We study connections between the problem of fully dynamic -approximate maximum bipartite matching, and the dual -approximate vertex cover problem, with the online mat…