Shion Takeno

8 papers at tracked venues · 4 at CORE A* · active 2024–2025

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Venues

AISTATS ×4 ICML ×3 AAAI ×1

Frequent coauthors

Yu Inatsu

×5

Ichiro Takeuchi

×4

Shogo Iwazaki

×4

Hiroyuki Hanada

×2

Tomohiko Tanabe

×2

Mitsuru Irie

×2

Masayuki Karasuyama

×2

Yoshito Okura

×1

Tatsuya Aoyama

×1

Tomonari Tanaka

×1

Satoshi Akahane

×1

Noriaki Hashimoto

×1

Papers

Distributionally Robust Active Learning for Gaussian Process Regression
ICML 2025 · Shion Takeno,
Yoshito Okura
,
Yu Inatsu
,
Tatsuya Aoyama
,
Tomonari Tanaka
,
Satoshi Akahane
,
Hiroyuki Hanada
,
Noriaki Hashimoto
,
Taro Murayama
,
Hanju Lee
,
Shinya Kojima
,
Ichiro Takeuchi
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
ICML 2025 ·
Shogo Iwazaki
, Shion Takeno
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits
AISTATS 2025 ·
Shogo Iwazaki
, Shion Takeno
No-Regret Bayesian Optimization with Stochastic Observation Failures
AISTATS 2025 ·
Shogo Iwazaki
,
Tomohiko Tanabe
,
Mitsuru Irie
, Shion Takeno,
Kota Matsui
,
Yu Inatsu
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty
AISTATS 2024 ·
Yu Inatsu
, Shion Takeno,
Hiroyuki Hanada
,
Kazuki Iwata
,
Ichiro Takeuchi
Multi-Objective Bayesian Optimization with Active Preference Learning
AAAI 2024 ·
Ryota Ozaki
,
Kazuki Ishikawa
,
Youhei Kanzaki
, Shion Takeno,
Ichiro Takeuchi
,
Masayuki Karasuyama
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
ICML 2024 · Shion Takeno,
Yu Inatsu
,
Masayuki Karasuyama
,
Ichiro Takeuchi
Risk Seeking Bayesian Optimization under Uncertainty for Obtaining Extremum
AISTATS 2024 ·
Shogo Iwazaki
,
Tomohiko Tanabe
,
Mitsuru Irie
, Shion Takeno,
Yu Inatsu