most citedA branch-and-price approach with MILP formulation to modularity density maximization on graphs

4 citations · 4 across the 3 of their papers we have counts for

collaborators

3 papers

math.OC2025

An Axiomatic Analysis of Distributionally Robust Optimization with -Norm Ambiguity Sets for Probability Smoothing

Yoichi Izunaga, Kota Kurihara, Hokuto Nagano +1

We analyze the axiomatic properties of a class of probability estimators derived from Distributionally Robust Optimization (DRO) with -norm ambiguity sets (-DRO), a principle…

math.OC2025

A scalable mixed-integer conic optimization approach to cardinality-constrained Poisson regression with safe screening

Kota Kurihara, Yoichi Izunaga

This paper introduces a novel approach for cardinality-constrained Poisson regression to address feature selection challenges in high-dimensional count data. We formulate the probl…

cs.SI2017★ 4 cited

A branch-and-price approach with MILP formulation to modularity density maximization on graphs

Keisuke Sato, Yoichi Izunaga

For clustering of an undirected graph, this paper presents an exact algorithm for the maximization of modularity density, a more complicated criterion to overcome drawbacks of the…