Mitsuki Sakamoto

According to our database, Mitsuki Sakamoto authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games.

Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki

CoRR, 2024

Adaptively Perturbed Mirror Descent for Learning in Games.

Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Atsushi Iwasaki

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Filtered Direct Preference Optimization.

Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

A Slingshot Approach to Learning in Monotone Games.

Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Atsushi Iwasaki

CoRR, 2023

Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games.

Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Last-Iterate Convergence with Full- and Noisy-Information Feedback in Two-Player Zero-Sum Games.

Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki

CoRR, 2022

Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games.

Kenshi Abe, Mitsuki Sakamoto, Atsushi Iwasaki

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2020

Bayesian Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT Using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction.

Mitsuki Sakamoto, Yuta Hiasa, Yoshito Otake, Masaki Takao, Yuki Suzuki, Nobuhiko Sugano, Yoshinobu Sato

J. Signal Process. Syst., 2020

2019

Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction.

Mitsuki Sakamoto, Yuta Hiasa, Yoshito Otake, Masaki Takao, Yuki Suzuki, Nobuhiko Sugano, Yoshinobu Sato

CoRR, 2019