Naoki Marumo

Orcid: 0000-0002-7372-4275

According to our database1, Naoki Marumo authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Modelling the discretization error of initial value problems using the Wishart distribution.
Appl. Math. Lett., January, 2024

Optimal Transport with Cyclic Symmetry.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Analytically Tractable Models for Decision Making under Present Bias.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Majorization-minimization-based Levenberg-Marquardt method for constrained nonlinear least squares.
Comput. Optim. Appl., April, 2023

MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm.
Mach. Learn., January, 2023

2022
Probabilistic Pedestrian Models for Estimating Unobserved Road Populations.
IEEE Trans. Intell. Transp. Syst., 2022

Online Matching with Controllable Rewards and Arrival Probabilities.
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.
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.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Best-first Search Algorithm for Non-convex Sparse Minimization.
CoRR, 2019

2018
Continuous relaxation for discrete DC programming.
Math. Program., 2018

2017
Scaling Locally Linear Embedding.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

SVD-Based Screening for the Graphical Lasso.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017


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