Yu Inatsu
10 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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Venues
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Research topics
Keywords
bayesian optimization
(6)
gaussian process
(5)
active learning
(3)
regret bound
(3)
distributionally robust optimization
(2)
risk measure
(2)
black-box function
(2)
multi-objective optimization
(2)
hyperparameter tuning
(1)
bayesian regret
(1)
upper confidence bound
(1)
randomized algorithm
(1)
acquisition function
(1)
no-regret algorithm
(1)
chance constraint
(1)
pareto front
(1)
level set estimation
(1)
risk-seeking optimization
(1)
kernel explore-then-commit
(1)
selective inference
(1)
Papers
Distributionally Robust Active Learning for Gaussian Process Regression
ICML 2025
No-Regret Bayesian Optimization with Stochastic Observation Failures
AISTATS 2025
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
AISTATS 2024
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
ICML 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum
AISTATS 2024
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
ICML 2023
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
ICML 2022
Active Learning for Distributionally Robust Level-Set Estimation
ICML 2021
Mean-Variance Analysis in Bayesian Optimization under Uncertainty
AISTATS 2021
Computing Valid P-Values for Image Segmentation by Selective Inference
CVPR 2020