works on

From the 1 of 5 linked papers with an AI index.

activity
20242026
collaborators

5 papers

cs.CC2026

Optimal PSPACE-hardness of Approximating -CSP Reconfiguration

Shuichi Hirahara, Naoto Ohsaka

The paper proves that approximating the Maxmin q‑CSP Reconfiguration problem within a factor of 1/2^{q‑1}+ε is PSPACE‑hard for any q≥2, and shows that achieving a (1/2^{q‑1}‑ε)‑app…

cs.DS2026

On (In)approximability of MaxMin Independent Set Reconfiguration

Hung P. Hoang, Naoto Ohsaka, Rin Saito +1

In the Independent Set Reconfiguration problem under the Token Addition/Removal rule, given a graph and two independent sets and of , we want to transform into $…

cs.CC2025

Reachability of Independent Sets and Vertex Covers Under Extended Reconfiguration Rules

Shuichi Hirahara, Naoto Ohsaka, Tatsuhiro Suga +3

In reconfiguration problems, we are given two feasible solutions to a graph problem and asked whether one can be transformed into the other via a sequence of feasible intermediate…

cs.CC2025

Asymptotically Optimal Inapproximability of E-SAT Reconfiguration

Shuichi Hirahara, Naoto Ohsaka

In the Maxmin E-SAT Reconfiguration problem, we are given a satisfiable -CNF formula where each clause contains exactly literals, along with a pair of its satisfying…

cs.LG2024

Matroid Semi-Bandits in Sublinear Time

Ruo-Chun Tzeng, Naoto Ohsaka, Kaito Ariu

We study the matroid semi-bandits problem, where at each round the learner plays a subset of arms from a feasible set, and the goal is to maximize the expected cumulative linea…