Kaito Fujii

According to our database, Kaito Fujii authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

The Secretary Problem with Predictions.

Kaito Fujii, Yuichi Yoshida

Math. Oper. Res., 2024

2023

Bayes correlated equilibria and no-regret dynamics.

Kaito Fujii

CoRR, 2023

2022

Device Selection and Beamforming Optimization in Large-Scale mmWave IoT Networks.

Thi Ha Ly Dinh, Megumi Kaneko, Kaito Fujii

IEEE Internet Things J., 2022

Lazy and Fast Greedy MAP Inference for Determinantal Point Process.

Shinichi Hemmi, Taihei Oki, Shinsaku Sakaue, Kaito Fujii, Satoru Iwata

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Algorithmic Bayesian Persuasion with Combinatorial Actions.

Kaito Fujii, Shinsaku Sakaue

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Polynomial-time algorithms for submodular Laplacian systems.

Kaito Fujii, Tasuku Soma, Yuichi Yoshida

Theor. Comput. Sci., 2021

2020

Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions.

Kaito Fujii

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

An improved algorithm for the submodular secretary problem with a cardinality constraint.

Kaito Fujii

CoRR, 2019

Beyond Adaptive Submodularity: Approximation Guarantees of Greedy Policy with Adaptive Submodularity Ratio.

Kaito Fujii, Shinsaku Sakaue

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Fast greedy algorithms for dictionary selection with generalized sparsity constraints.

Kaito Fujii, Tasuku Soma

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Faster approximation algorithms for maximizing a monotone submodular function subject to a b-matching constraint.

Kaito Fujii

Inf. Process. Lett., 2016

Budgeted stream-based active learning via adaptive submodular maximization.

Kaito Fujii, Hisashi Kashima

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016