Yu Inatsu
Orcid: 0000-0001-5655-2558
According to our database1,
Yu Inatsu
authored at least 22 papers
between 2019 and 2024.
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Bibliography
2024
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
CoRR, 2023
Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds.
CoRR, 2023
Distributionally Robust Multi-objective Bayesian Optimization under Uncertain Environments.
CoRR, 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds.
Proceedings of the International Conference on Machine Learning, 2023
2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Neural Comput., 2021
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference.
CoRR, 2021
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation.
CoRR, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Neural Comput., 2020
Neural Comput., 2020
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation.
Neural Comput., 2020
IEEE Access, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019