Yu Inatsu
10 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π Academic Marathon (5) π Cross-Pollinator (13) π Interdisciplinary Bridge
π
Conference Polyglot
(3)
π
Century Club
(10)
π₯
Unstoppable
(6)
π
Trend Setter
Conferences
ICML (5)
AISTATS (4)
CVPR (1)
Top co-authors
Keywords
bayesian optimization
(5)
gaussian process
(4)
active learning
(2)
multi-objective optimization
(2)
distributionally robust optimization
(2)
regret bound
(2)
black-box function
(2)
risk measure
(2)
heteroscedastic model
(1)
probability threshold robustness
(1)
upper confidence bound
(1)
mean-variance analysis
(1)
randomized algorithm
(1)
gamma distribution
(1)
chance constraint
(1)
pareto front
(1)
level set estimation
(1)
segmentation bia
(1)
risk-seeking optimization
(1)
kernel explore-then-commit
(1)
Papers
No-Regret Bayesian Optimization with Stochastic Observation Failures
AISTATS 2025
Distributionally Robust Active Learning for Gaussian Process Regression
ICML 2025
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
AISTATS 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum
AISTATS 2024
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
ICML 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