Naoki Marumo

According to our database, Naoki Marumo authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Modelling the discretization error of initial value problems using the Wishart distribution.

Naoki Marumo, Takeru Matsuda, Yuto Miyatake

Appl. Math. Lett., January, 2024

Parameter-Free Accelerated Gradient Descent for Nonconvex Minimization.

Naoki Marumo, Akiko Takeda

SIAM J. Optim., 2024

Initial Placement for Fruchterman-Reingold Force Model with Coordinate Newton Direction.

Hiroki Hamaguchi, Naoki Marumo, Akiko Takeda

CoRR, 2024

Optimal Transport with Cyclic Symmetry.

Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Analytically Tractable Models for Decision Making under Present Bias.

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Majorization-minimization-based Levenberg-Marquardt method for constrained nonlinear least squares.

Naoki Marumo, Takayuki Okuno, Akiko Takeda

Comput. Optim. Appl., April, 2023

MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm.

Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda

Mach. Learn., January, 2023

2022

Probabilistic Pedestrian Models for Estimating Unobserved Road Populations.

Tomoharu Iwata, Hitoshi Shimizu, Naoki Marumo

IEEE Trans. Intell. Transp. Syst., 2022

Online Matching with Controllable Rewards and Arrival Probabilities.

Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm.

Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion.

Naoki Marumo, Atsushi Miyauchi, Akiko Takeda, Akira Tanaka

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Co-Occurrence Estimation from Aggregated Data with Auxiliary Information.

Tomoharu Iwata, Naoki Marumo

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Best-first Search Algorithm for Non-convex Sparse Minimization.

Shinsaku Sakaue, Naoki Marumo

CoRR, 2019

2018

Continuous relaxation for discrete DC programming.

Takanori Maehara, Naoki Marumo, Kazuo Murota

Math. Program., 2018

2017

Scaling Locally Linear Embedding.

Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

SVD-Based Screening for the Graphical Lasso.

Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017