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20152026
most citedStochastic Monotone Submodular Maximization with Queries

4 citations · 12 across the 21 of their papers we have counts for

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cs.DS2026

Approximate Maintenance of Maximum Subarray Sum in the Sliding Window Model

Ryo Suzuki, Yutaro Yamaguchi

In the sliding window model, we are required to maintain the target statistics over the most recent elements of a data stream, which is captured by a window of size sliding…

cs.DS2024

Finding Spanning Trees with Perfect Matchings

Kristóf Bérczi, Tamás Király, Yusuke Kobayashi +2

We investigate the tractability of a simple fusion of two fundamental structures on graphs, a spanning tree and a perfect matching. Specifically, we consider the following problem:…

cs.DS2024

Matroid Intersection under Minimum Rank Oracle

Mihály Bárász, Kristóf Bérczi, Tamás Király +3

In this paper, we consider the tractability of the matroid intersection problem under the minimum rank oracle. In this model, we are given an oracle that takes as its input a set o…

cs.DS2023

Shortest Odd Paths in Undirected Graphs with Conservative Weight Functions

Alpár Jüttner, Csaba Király, Lydia Mirabel Mendoza-Cadena +3

We consider the Shortest Odd Path problem, where given an undirected graph , a weight function on its edges, and two vertices and in , the aim is to find an -p…

cs.DS2022

Matroid Intersection under Restricted Oracles

Kristóf Bérczi, Tamás Király, Yutaro Yamaguchi +1

Matroid intersection is one of the most powerful frameworks of matroid theory that generalizes various problems in combinatorial optimization. Edmonds' fundamental theorem provides…

cs.DS2022

Fast Primal-Dual Update against Local Weight Update in Linear Assignment Problem and Its Application

Kohei Morita, Shinya Shiroshita, Yutaro Yamaguchi +1

We consider a dynamic situation in the weighted bipartite matching problem: edge weights in the input graph are repeatedly updated and we are asked to maintain an optimal matching…

cs.DS2022

Interval-Memoized Backtracking on ZDDs for Fast Enumeration of All Lower Cost Solutions

Shin-ichi Minato, Mutsunori Banbara, Takashi Horiyama +3

In this paper, we propose a fast method for exactly enumerating a very large number of all lower cost solutions for various combinatorial problems. Our method is based on backtrack…

cs.DS2020

Dynamic Programming Approach to the Generalized Minimum Manhattan Network Problem

Yuya Masumura, Taihei Oki, Yutaro Yamaguchi

We study the generalized minimum Manhattan network (GMMN) problem: given a set of pairs of two points in the Euclidean plane , we are required to find a minimum-l…

cs.DS2019

Multiple Knapsack-Constrained Monotone DR-Submodular Maximization on Distributive Lattice --- Continuous Greedy Algorithm on Median Complex ---

Takanori Maehara, So Nakashima, Yutaro Yamaguchi

We consider a problem of maximizing a monotone DR-submodular function under multiple order-consistent knapsack constraints on a distributive lattice. Since a distributive lattice i…

cs.DS2019★ 4 cited

Stochastic Monotone Submodular Maximization with Queries

Takanori Maehara, Yutaro Yamaguchi

We study a stochastic variant of monotone submodular maximization problem as follows. We are given a monotone submodular function as an objective function and a feasible domain def…

cs.DS2019

Finding a Shortest Non-zero Path in Group-Labeled Graphs

Yoichi Iwata, Yutaro Yamaguchi

We study a constrained shortest path problem in group-labeled graphs with nonnegative edge length, called the shortest non-zero path problem. Depending on the group in question, th…

cs.DS2018

Tight Approximation for Unconstrained XOS Maximization

Yuval Filmus, Yasushi Kawase, Yusuke Kobayashi +1

A set function is called XOS if it can be represented by the maximum of additive functions. When such a representation is fixed, the number of additive functions required to define…

cs.DS2017

Stochastic Packing Integer Programs with Few Queries

Takanori Maehara, Yutaro Yamaguchi

We consider a stochastic variant of the packing-type integer linear programming problem, which contains random variables in the objective vector. We are allowed to reveal each entr…

cs.DS2017

0/1/all CSPs, Half-Integral -path Packing, and Linear-Time FPT Algorithms

Yoichi Iwata, Yutaro Yamaguchi, Yuichi Yoshida

A recent trend in the design of FPT algorithms is exploiting the half-integrality of LP relaxations. In other words, starting with a half-integral optimal solution to an LP relaxat…