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Noriyoshi Sukegawa
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2020 – today
- 2024
- [j20]Yuki Uehara, Naoki Nishimura, Yilin Li, Jie Yang, Deddy Jobson, Koya Ohashi, Takeshi Matsumoto, Noriyoshi Sukegawa, Yuichi Takano:
Robust portfolio optimization model for electronic coupon allocation. INFOR Inf. Syst. Oper. Res. 62(4): 646-660 (2024) - [j19]Noriyoshi Sukegawa, Shohei Suzuki, Yoshiko Ikebe, Yoshito Hirata:
On Computing Medians of Marked Point Process Data Under Edit Distance. J. Optim. Theory Appl. 200(1): 178-193 (2024) - [c3]Yuki Uehara, Shunnosuke Ikeda, Naoki Nishimura, Koya Ohashi, Yilin Li, Jie Yang, Deddy Jobson, Xingxia Zha, Takeshi Matsumoto, Noriyoshi Sukegawa, Yuichi Takano:
Fast Solution to the Fair Ranking Problem Using the Sinkhorn Algorithm. PRICAI (5) 2024: 207-215 - [i10]Yuki Uehara, Naoki Nishimura, Yilin Li, Jie Yang, Deddy Jobson, Koya Ohashi, Takeshi Matsumoto, Noriyoshi Sukegawa, Yuichi Takano:
Robust portfolio optimization model for electronic coupon allocation. CoRR abs/2405.12865 (2024) - [i9]Daiki Ikuma, Shunnosuke Ikeda, Noriyoshi Sukegawa, Yuichi Takano:
Container pre-marshalling problem minimizing CV@R under uncertainty of ship arrival times. CoRR abs/2405.17576 (2024) - [i8]Tomoya Yanagi, Shunnosuke Ikeda, Noriyoshi Sukegawa, Yuichi Takano:
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets. CoRR abs/2406.01603 (2024) - [i7]Yuki Uehara, Shunnosuke Ikeda, Naoki Nishimura, Koya Ohashi, Yilin Li, Jie Yang, Deddy Jobson, Xingxia Zha, Takeshi Matsumoto, Noriyoshi Sukegawa, Yuichi Takano:
Fast solution to the fair ranking problem using the Sinkhorn algorithm. CoRR abs/2406.10262 (2024) - [i6]Koya Ohashi, Sho Sekine, Deddy Jobson, Jie Yang, Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano:
Strategic Coupon Allocation for Increasing Providers' Sales Experiences in Two-sided Marketplaces. CoRR abs/2407.14895 (2024) - [i5]Shunnosuke Ikeda, Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano:
Robust personalized pricing under uncertainty of purchase probabilities. CoRR abs/2407.15332 (2024) - 2023
- [j18]Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano, Jiro Iwanaga:
Predicting Online Item-Choice Behavior: A Shape-Restricted Regression Approach. Algorithms 16(9): 415 (2023) - [j17]Yasuko Matsui, Noriyoshi Sukegawa, Ping Zhan:
Monotone Diameter of Bisubmodular Polyhedra. Oper. Res. Forum 4(4): 76 (2023) - 2021
- [j16]Yuya Higashikawa, Keiko Imai, Takeharu Shiraga, Noriyoshi Sukegawa, Yusuke Yokosuka:
Minimum point-overlap labelling. Optim. Methods Softw. 36(2-3): 316-325 (2021) - 2020
- [j15]Antoine Deza, Tomonari Kitahara, Noriyoshi Sukegawa:
Preface: Workshop on Advances in Optimization. Discret. Appl. Math. 275: 1-2 (2020) - [i4]Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano, Jiro Iwanaga:
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective. CoRR abs/2004.08519 (2020)
2010 – 2019
- 2019
- [j14]Tomonari Kitahara, Noriyoshi Sukegawa:
A Simple Projection Algorithm for Linear Programming Problems. Algorithmica 81(1): 167-178 (2019) - [j13]Noriyoshi Sukegawa:
An Asymptotically Improved Upper Bound on the Diameter of Polyhedra. Discret. Comput. Geom. 62(3): 690-699 (2019) - [j12]Jiro Iwanaga, Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano:
Improving collaborative filtering recommendations by estimating user preferences from clickstream data. Electron. Commer. Res. Appl. 37 (2019) - 2018
- [j11]Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano, Jiro Iwanaga:
A latent-class model for estimating product-choice probabilities from clickstream data. Inf. Sci. 429: 406-420 (2018) - [c2]Atsushi Miyauchi, Tomohiro Sonobe, Noriyoshi Sukegawa:
Exact Clustering via Integer Programming and Maximum Satisfiability. AAAI 2018: 1387-1394 - 2017
- [j10]Noriyoshi Sukegawa:
Improving bounds on the diameter of a polyhedron in high dimensions. Discret. Math. 340(9): 2134-2142 (2017) - [c1]Yuya Higashikawa, Keiko Imai, Yusuke Matsumoto, Noriyoshi Sukegawa, Yusuke Yokosuka:
Minimum Point-Overlap Labeling. CIAC 2017: 334-344 - 2016
- [j9]Jiro Iwanaga, Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano:
Estimating product-choice probabilities from recency and frequency of page views. Knowl. Based Syst. 99: 157-167 (2016) - [i3]Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano, Jiro Iwanaga:
A Latent-class Model for Estimating Product-choice Probabilities from Clickstream Data. CoRR abs/1612.06589 (2016) - 2015
- [j8]Yuichi Takano, Keisuke Nanjo, Noriyoshi Sukegawa, Shinji Mizuno:
Cutting plane algorithms for mean-CVaR portfolio optimization with nonconvex transaction costs. Comput. Manag. Sci. 12(2): 319-340 (2015) - [j7]Atsushi Miyauchi, Noriyoshi Sukegawa:
Redundant constraints in the standard formulation for the clique partitioning problem. Optim. Lett. 9(1): 199-207 (2015) - [j6]Atsushi Miyauchi, Noriyoshi Sukegawa:
Maximizing Barber's bipartite modularity is also hard. Optim. Lett. 9(5): 897-913 (2015) - [j5]Noriyoshi Sukegawa, Tomonari Kitahara:
A refinement of Todd's bound for the diameter of a polyhedron. Oper. Res. Lett. 43(5): 534-536 (2015) - [j4]Shinji Mizuno, Noriyoshi Sukegawa, Antoine Deza:
A primal-simplex based Tardos' algorithm. Oper. Res. Lett. 43(6): 625-628 (2015) - 2014
- [j3]Tomomi Matsui, Noriyoshi Sukegawa, Atsushi Miyauchi:
Fractional programming formulation for the vertex coloring problem. Inf. Process. Lett. 114(12): 706-709 (2014) - [i2]Tomomi Matsui, Noriyoshi Sukegawa, Atsushi Miyauchi:
Fractional programming formulation for the vertex coloring problem. CoRR abs/1402.5769 (2014) - 2013
- [j2]Noriyoshi Sukegawa, Yoshitsugu Yamamoto, Liyuan Zhang:
Lagrangian relaxation and pegging test for the clique partitioning problem. Adv. Data Anal. Classif. 7(4): 363-391 (2013) - [j1]Noriyoshi Sukegawa, Atsushi Miyauchi:
A note on the complexity of the maximum edge clique partitioning problem with respect to the clique number. Discret. Optim. 10(4): 331-332 (2013) - [i1]Atsushi Miyauchi, Noriyoshi Sukegawa:
Maximizing Barber's bipartite modularity is also hard. CoRR abs/1310.4656 (2013)
Coauthor Index
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