Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian
Regret Bounds

Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds

3 February 2023

Shion Takeno

Yu Inatsu

Masayuki Karasuyama

Papers citing "Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds"

13 / 13 papers shown

Title
Risk-aware black-box portfolio construction using Bayesian optimization with adaptive weighted Lagrangian estimator Zinuo You John Cartlidge Karen Elliott Menghan Ge Daniel Gold 27 0 0 18 Apr 2025
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion Zeyang Zheng Arman Hosseini Dong Chen Omid Shoghli Arsalan Heydarian 29 0 0 04 Apr 2025
Distributionally Robust Active Learning for Gaussian Process Regression Shion Takeno Yoshito Okura Yu Inatsu Aoyama Tatsuya Tomonari Tanaka ... Noriaki Hashimoto Taro Murayama Hanju Lee Shinya Kojima Ichiro Takeuchi OOD GP 33 0 0 24 Feb 2025
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance S. Iwazaki Shion Takeno 66 1 0 10 Feb 2025
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound Shion Takeno Yu Inatsu Masayuki Karasuyama 19 0 0 02 Sep 2024
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms Yu Inatsu Shion Takeno Kentaro Kutsukake Ichiro Takeuchi 19 3 0 06 Aug 2024
Optimal Policy Learning with Observational Data in Multi-Action Scenarios: Estimation, Risk Preference, and Potential Failures Giovanni Cerulli OffRL 16 0 0 29 Mar 2024
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama Ichiro Takeuchi 13 6 0 07 Nov 2023
Looping in the Human Collaborative and Explainable Bayesian Optimization Masaki Adachi Brady Planden David A. Howey Michael A. Osborne Sebastian Orbell Natalia Ares Krikamol Maundet Siu Lun Chau 11 14 0 26 Oct 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning Carl Hvarfner E. Hellsten Frank Hutter Luigi Nardi GP 19 14 0 21 Apr 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes Shion Takeno Masahiro Nomura Masayuki Karasuyama 14 17 0 03 Feb 2023
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty Yu Inatsu Shion Takeno Hiroyuki Hanada Kazuki Iwata Ichiro Takeuchi 11 4 0 27 Jan 2023
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 357 0 06 Mar 2017