Naoki Marumo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Nonlinear Least Squares

Continuous Relaxation

Top Venues

Publications

Naoki Marumo, Akiko Takeda
Parameter-Free Accelerated Gradient Descent for Nonconvex Minimization. SIAM J. Optim. 34 (2) (2024)
Yasunori Akagi, Naoki Marumo, Takeshi Kurashima
Analytically Tractable Models for Decision Making under Present Bias. AAAI (2024)
Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa
Optimal Transport with Cyclic Symmetry. AAAI (2024)
Naoki Marumo, Takeru Matsuda, Yuto Miyatake
Modelling the discretization error of initial value problems using the Wishart distribution. Appl. Math. Lett. 147 (2024)
Shoichiro Takeda, Yasunori Akagi, Naoki Marumo, Kenta Niwa
Optimal Transport with Cyclic Symmetry. CoRR (2023)
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm. Mach. Learn. 112 (1) (2023)
Naoki Marumo, Takayuki Okuno, Akiko Takeda
Majorization-minimization-based Levenberg-Marquardt method for constrained nonlinear least squares. Comput. Optim. Appl. 84 (3) (2023)
Yasunori Akagi, Naoki Marumo, Takeshi Kurashima
Analytically Tractable Models for Decision Making under Present Bias. CoRR (2023)
Naoki Marumo, Takeru Matsuda, Yuto Miyatake
Modelling the discretization error of initial value problems using the Wishart distribution. CoRR (2023)
Yuya Hikima, Yasunori Akagi, Naoki Marumo, Hideaki Kim
Online Matching with Controllable Rewards and Arrival Probabilities. IJCAI (2022)
Tomoharu Iwata, Hitoshi Shimizu, Naoki Marumo
Probabilistic Pedestrian Models for Estimating Unobserved Road Populations. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm. CoRR (2021)
Naoki Marumo, Atsushi Miyauchi, Akiko Takeda, Akira Tanaka
A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion. CIKM (2021)
Yasunori Akagi, Naoki Marumo, Hideaki Kim, Takeshi Kurashima, Hiroyuki Toda
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm. NeurIPS (2021)
Naoki Marumo, Atsushi Miyauchi, Akiko Takeda, Akira Tanaka
A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion. CoRR (2021)
Tomoharu Iwata, Naoki Marumo
Co-Occurrence Estimation from Aggregated Data with Auxiliary Information. AAAI (2020)
Shinsaku Sakaue, Naoki Marumo
Best-first Search Algorithm for Non-convex Sparse Minimization. CoRR (2019)
Takanori Maehara, Naoki Marumo, Kazuo Murota
Continuous relaxation for discrete DC programming. Math. Program. 169 (1) (2018)
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
SVD-Based Screening for the Graphical Lasso. IJCAI (2017)
Yasuhiro Fujiwara, Naoki Marumo, Mathieu Blondel, Koh Takeuchi, Hideaki Kim, Tomoharu Iwata, Naonori Ueda
Scaling Locally Linear Embedding. SIGMOD Conference (2017)
Takanori Maehara, Naoki Marumo, Kazuo Murota
Continuous Relaxation for Discrete DC Programming. MCO (1) (2015)