Bayesian Optimization for Distributionally Robust Chance-constrained
Problem

Bayesian Optimization for Distributionally Robust Chance-constrained Problem

31 January 2022

Yu Inatsu

Shion Takeno

Masayuki Karasuyama

Ichiro Takeuchi

Papers citing "Bayesian Optimization for Distributionally Robust Chance-constrained Problem"

6 / 6 papers shown

Title
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 41 0 0 04 Apr 2025
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound Shion Takeno Yu Inatsu Masayuki Karasuyama 35 0 0 02 Sep 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation Xiaobin Huang Lei Song Ke Xue Chao Qian 25 3 0 16 Dec 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 28 13 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 24 4 0 27 Jan 2023
Bayesian Optimization for Cascade-type Multi-stage Processes Shunya Kusakawa Shion Takeno Yu Inatsu Kentaro Kutsukake S. Iwazaki Takashi Nakano T. Ujihara Masayuki Karasuyama Ichiro Takeuchi 20 18 0 16 Nov 2021