N. Marumo and A. Takeda.
Universal heavy-ball method for nonconvex optimization under Hölder continuous Hessians. [Code]
Mathematical Programming, 212(1):147–175, 2025.
H. Hamaguchi, K. Hamada, N. Marumo, and N. Yoshioka.
Faster computation of nonstabilizerness.
Physical Review Applied, 23:014069, 2025.
N. Marumo, T. Okuno, and A. Takeda.
Accelerated-gradient-based generalized Levenberg–Marquardt method with oracle complexity bound and local quadratic convergence. [Code]
Mathematical Programming, 2024.
N. Marumo and A. Takeda.
Parameter-free accelerated gradient descent for nonconvex minimization. [Code]
SIAM Journal on Optimization, 34(2):2093–2120, 2024. (ICCOPT 2025 Best Paper Finalist)
N. Marumo, T. Matsuda, and Y. Miyatake.
Modelling the discretization error of initial value problems using the Wishart distribution.
Applied Mathematics Letters, 147:108833, 2024.
N. Marumo, T. Okuno, and A. Takeda.
Majorization-minimization-based Levenberg–Marquardt method for constrained nonlinear least squares. [Code]
Computational Optimization and Applications, 84(3):833–874, 2023.
Y. Akagi, N. Marumo, H. Kim, T. Kurashima, and H. Toda.
MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm.
Machine Learning, 112(1):99–129, 2022.
T. Iwata, H. Shimizu, and N. Marumo.
Probabilistic pedestrian models for estimating unobserved road populations.
IEEE Transactions on Intelligent Transportation Systems, 23(4):3037–3047, 2022.
S. Akibue, G. Kato, and N. Marumo.
Perfect discrimination of nonorthogonal quantum states with posterior classical partial information.
Physical Review A, 99:020102, 2019. (Editors' Suggestion & Rapid Communication)
T. Maehara, N. Marumo, and K. Murota.
Continuous relaxation for discrete DC programming.
Mathematical Programming, 169(1):199–219, 2018.
N. Marumo, T. Oaku, and A. Takemura.
Properties of powers of functions satisfying second-order linear differential equations with applications to statistics.
Japan Journal of Industrial and Applied Mathematics, 32(2):553–572, 2015.
Y. Akagi, N. Marumo, and T. Kurashima.
Analytically tractable models for decision making under present bias.
Proceedings of the AAAI Conference on Artificial Intelligence, 38(9):9441–9450, 2024. (Oral: 5.1% of accepted papers)
S. Takeda, Y. Akagi, N. Marumo, and K. Niwa.
Optimal transport with cyclic symmetry.
Proceedings of the AAAI Conference on Artificial Intelligence, 38(14):5211–15221, 2024.
Y. Hikima, Y. Akagi, N. Marumo, and H. Kim.
Online matching with controllable rewards and arrival probabilities.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 1825–1833, 2022.
Y. Akagi, N. Marumo, H. Kim, T. Kurashima, and H. Toda.
Non-approximate inference for collective graphical models on path graphs via discrete difference of convex algorithm.
Advances in Neural Information Processing Systems, 34, 2021.
N. Marumo, A. Miyauchi, A. Takeda, and A. Tanaka.
A projected gradient method for opinion optimization with limited changes of susceptibility to persuasion.
Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 1274–1283, 2021.
T. Iwata and N. Marumo.
Co-occurrence estimation from aggregated data with auxiliary information.
Proceedings of the AAAI Conference on Artificial Intelligence, 34(04):4247–4254, 2020.
Y. Fujiwara, N. Marumo, M. Blondel, K. Takeuchi, H. Kim, T. Iwata, and N. Ueda.
SVD-based screening for the graphical lasso.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 1682–1688, 2017.
Y. Fujiwara, N. Marumo, M. Blondel, K. Takeuchi, H. Kim, T. Iwata, and N. Ueda.
Scaling locally linear embedding.
Proceedings of the 2017 ACM International Conference on Management of Data, 1479–1492, 2017.
T. Maehara, N. Marumo, and K. Murota.
Continuous relaxation for discrete DC programming.
Modelling, Computation and Optimization in Information Systems and Management Sciences, 181–190, 2015.
R. I. Boţ, M. N. Dao, T. Liu, B. F. Lourenço, N. Marumo.
On the equivalence of a Hessian-free inequality and Lipschitz continuous Hessian.
arXiv, 2025.
T. Kamijima, N. Marumo, A. Takeda.
A simple yet highly accurate prediction-correction algorithm for time-varying optimization.
arXiv, 2025.
H. Hamaguchi, N. Marumo, A. Takeda.
Initial placement for Fruchterman–Reingold force model with coordinate Newton direction.
arXiv 2024.
K. Okamura, N. Marumo, and A. Takeda.
Heavy-ball differential equation achieves O(ε^(−7/4)) convergence for nonconvex functions.
arXiv, 2024.
S. Sakaue and N. Marumo.
Best-first search algorithm for non-convex sparse minimization.
arXiv, 2019.