Shion Takeno
15 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24)
π¬
Deep Specialist
(11)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(58)
Venues
Top co-authors
Research topics
Machine Learning
(14)
Optimization & Theory
(11)
Mathematics & Optimization
(10)
Optimization
(10)
Bayesian & Probabilistic Β· Machine Learning
(9)
Learning Types
(3)
Artificial Intelligence
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core Methods
(1)
Learning Paradigms
(1)
Mathematics
(1)
Methods
(1)
Keywords
bayesian optimization
(12)
gaussian process
(7)
regret bound
(5)
multi-objective optimization
(3)
acquisition function
(3)
active learning
(2)
gaussian processes
(2)
black-box optimization
(2)
pareto front
(2)
preference learning
(2)
max-value entropy search
(2)
upper confidence bound
(2)
bayesian regret
(1)
pareto optimality
(1)
hyperparameter tuning
(1)
thompson sampling
(1)
markov chain monte carlo
(1)
gibbs sampling
(1)
regret
(1)
distributionally robust optimization
(1)
Papers
Distributionally Robust Active Learning for Gaussian Process Regression
ICML 2025
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
ICML 2025
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
AISTATS 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
Multi-Objective Bayesian Optimization with Active Preference Learning
AAAI 2024
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
ICML 2024
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum
AISTATS 2024
Failure-Aware Gaussian Process Optimization with Regret Bounds
NeurIPS 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
ICML 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
ICML 2023
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
ICML 2022
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound
ICML 2022
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
ICML 2020
Multi-objective Bayesian Optimization using Pareto-frontier Entropy
ICML 2020