Shogo Iwazaki

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Dempster Shafer

Gaussian Process

Top Venues

Publications

Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Yu Inatsu
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum. AISTATS (2024)
Shogo Iwazaki, Shion Takeno, Tomohiko Tanabe, Mitsuru Irie
Failure-Aware Gaussian Process Optimization with Regret Bounds. NeurIPS (2023)
Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference. NeurIPS (2022)
Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
Bayesian Optimization for Cascade-Type Multistage Processes. Neural Comput. 34 (12) (2022)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure. Neural Comput. 33 (12) (2021)
Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
Active learning for distributionally robust level-set estimation. CoRR (2021)
Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
Active Learning for Distributionally Robust Level-Set Estimation. ICML (2021)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Mean-Variance Analysis in Bayesian Optimization under Uncertainty. AISTATS (2021)
Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
Bayesian Optimization for Cascade-type Multi-stage Processes. CoRR (2021)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty. IEEE Access 8 (2020)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Mean-Variance Analysis in Bayesian Optimization under Uncertainty. CoRR (2020)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure. CoRR (2020)
Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference. CoRR (2020)
Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty. CoRR (2019)