activity
20172026
most citedStatistical Learning with Conditional Value at Risk

22 citations · 22 across the 6 of their papers we have counts for

collaborators

16 papers

math.OC2026

Quiver Semistability and Structured Kalman Decompositions for Networked Linear Dynamical Systems

Kazuo Murota, Tasuku Soma

We introduce new notions of controllability and observability for networked linear time-invariant (LTI) systems based on -semistability of quiver representations. Utilizing King…

math.OC2026

Numerically stable variants of overrelaxation for operator Sinkhorn iteration

Henrik Eisenmann, Tasuku Soma, Xun Tang +1

We consider accelerated versions of the operator Sinkhorn iteration (OSI) for solving scaling problems for completely positive maps. Based on the interpretation of OSI as alternati…

cs.DS2025

-Approximation Algorithms for Bipartiteness Ratio

Tasuku Soma, Mingquan Ye, Yuichi Yoshida

We propose an -approximation algorithm for the bipartiteness ratio of undirected graphs introduced by Trevisan (SIAM Journal on Computing, vol. 41, no. 6, 2012), where $…

math.OC2024

Accelerating operator Sinkhorn iteration with overrelaxation

Tasuku Soma, André Uschmajew

We propose accelerated versions of the operator Sinkhorn iteration for operator scaling using successive overrelaxation. We analyze the local convergence rates of these accelerated…

math.OC2024

Algorithmic aspects of semistability of quiver representations

Yuni Iwamasa, Taihei Oki, Tasuku Soma

We study the semistability of quiver representations from an algorithmic perspective. We present efficient algorithms for several fundamental computational problems on the semistab…

cs.DS2023

Online Algorithms for Spectral Hypergraph Sparsification

Tasuku Soma, Kam Chuen Tung, Yuichi Yoshida

We provide the first online algorithm for spectral hypergraph sparsification. In the online setting, hyperedges with positive weights are arriving in a stream, and upon the arrival…