A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

12 December 2010

Papers citing "A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning"

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ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors Haoran Wu Ce Guo Wayne Luk Robert Mullins 17 0 0 07 Jun 2025
Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization Yezhuo Li Qiong Zhang Madhura Limaye Gang Li 20 0 0 30 May 2025
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds Aya Kayal Sattar Vakili Laura Toni Da-shan Shiu A. Bernacchia 39 0 0 29 May 2025
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Convergence Rates of Constrained Expected Improvement Haowei Wang Jingyi Wang Zhongxiang Dai Nai-Yuan Chiang Szu Hui Ng Cosmin G. Petra 61 0 0 16 May 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review Chengmin Zhou Ville Kyrki Pasi Fränti Laura Ruotsalainen BDL AI4CE 121 0 0 12 May 2025
FigBO: A Generalized Acquisition Function Framework with Look-Ahead Capability for Bayesian Optimization Hui Chen Xuhui Fan Zhangkai Wu Longbing Cao 85 0 0 28 Apr 2025
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks J. Gornet Yiannis Kantaros Bruno Sinopoli 396 0 0 27 Apr 2025
No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing Anna M. Maddux Marko Maljkovic Nikolas Geroliminis Maryam Kamgarpour 61 0 0 01 Apr 2025
Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints Ahmed Shoyeb Raihan Zhichao Liu T. Bhuiyan I. Imtiaz Ahmed 80 0 0 27 Mar 2025
Assist-as-needed Hip Exoskeleton Control for Gait Asymmetry Correction via Human-in-the-loop Optimization Yuepeng Qian Jingfeng Xiong Haoyong Yu Chenglong Fu 55 0 0 23 Mar 2025
A Framework for Finding Local Saddle Points in Two-Player Zero-Sum Black-Box Games Shubhankar Agarwal Hamzah I. Khan Sandeep Chinchali David Fridovich-Keil 108 0 0 23 Mar 2025
Preferential Multi-Objective Bayesian Optimization for Drug Discovery Tai Dang Long-Hung Pham Sang T. Truong Ari Glenn Wendy Nguyen Edward A. Pham Jeffrey S. Glenn Sanmi Koyejo Thang Luong 106 0 0 21 Mar 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models Mingyu Pu Songhao Wang Haowei Wang Szu Hui Ng 82 0 0 04 Mar 2025
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Model Fusion through Bayesian Optimization in Language Model Fine-Tuning Chaeyun Jang Hyungi Lee Jungtaek Kim Juho Lee MoMe 147 4 0 11 Nov 2024
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Pathway-Guided Optimization of Deep Generative Molecular Design Models for Cancer Therapy Alif Bin Abdul Qayyum S. Mertins Amanda K. Paulson Nathan M. Urban Byung-Jun Yoon 78 0 0 05 Nov 2024
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization Mujin Cheon Jay H. Lee Dong-Yeun Koh Calvin Tsay 69 0 0 31 Oct 2024
Bayesian optimization for robust robotic grasping using a sensorized compliant hand Juan G. Lechuz-Sierra Ana Elvira H. Martin Ashok M. Sundaram Ruben Martinez-Cantin Máximo A. Roa 27 1 0 23 Oct 2024
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Automated design of nonreciprocal thermal emitters via Bayesian optimization Bach Do S. J. Ghalekohneh Taiwo A. Adebiyi Bo Zhao Ruda Zhang 87 3 0 13 Sep 2024
Preference-Optimized Pareto Set Learning for Blackbox Optimization Zhang Haishan Diptesh Das Koji Tsuda 92 1 0 19 Aug 2024
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Active search for Bifurcations Y. M. Psarellis T. Sapsis Ioannis G. Kevrekidis 78 0 0 17 Jun 2024
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PanoTree: Autonomous Photo-Spot Explorer in Virtual Reality Scenes Tomohiro Hayase Braun Sacha Hikari Yanagawa Itsuki Orito Yuichi Hiroi 3DPC 68 0 0 27 May 2024
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