Shogo Iwazaki

Shion Takeno

CoRR, 2024

Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Failure-Aware Gaussian Process Optimization with Regret Bounds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bayesian Optimization for Cascade-Type Multistage Processes.

[BibT_eX]

[DOI]

Neural Comput., 2022

Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference.

[BibT_eX]

[DOI]

Vo Nguyen Le Duy

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

2021

Bayesian Quadrature Optimization for Probability Threshold Robustness Measure.

[BibT_eX]

[DOI]

Neural Comput., 2021

Bayesian Optimization for Cascade-type Multi-stage Processes.

[BibT_eX]

[DOI]

CoRR, 2021

Active Learning for Distributionally Robust Level-Set Estimation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Mean-Variance Analysis in Bayesian Optimization under Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference.

[BibT_eX]

[DOI]

Vo Nguyen Le Duy

CoRR, 2020

Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty.

[BibT_eX]

[DOI]