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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Title
Convergence Rates of Constrained Expected Improvement Haowei Wang Jingyi Wang Zhongxiang Dai Nai-Yuan Chiang Szu Hui Ng Cosmin G. Petra 19 0 0 16 May 2025
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks J. Gornet Yiannis Kantaros Bruno Sinopoli 224 0 0 27 Apr 2025
Constrained multi-fidelity Bayesian optimization with automatic stop condition Zahra Zanjani Foumani Ramin Bostanabad 74 0 0 03 Mar 2025
Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection Abrar Anwar Rohan Gupta Zain Merchant Sayan Ghosh Willie Neiswanger Jesse Thomason OffRL 69 1 0 14 Feb 2025
Bayesian Optimization by Kernel Regression and Density-based Exploration Tansheng Zhu Hongyu Zhou Ke Jin Xusheng Xu Qiufan Yuan Lijie Ji 242 0 0 10 Feb 2025
Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies from Simulated Nonparametric Functions Cen-You Li Marc Toussaint Barbara Rakitsch Christoph Zimmer OffRL 261 0 0 26 Jan 2025
Respecting the limit:Bayesian optimization with a bound on the optimal value Hanyang Wang Juergen Branke Matthias Poloczek 50 0 0 07 Nov 2024
Flying through Moving Gates without Full State Estimation Ralf Romer Tim Emmert Angela P. Schoellig 68 0 0 21 Oct 2024
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 62 2 0 17 Oct 2024
Automated design of nonreciprocal thermal emitters via Bayesian optimization Bach Do S. J. Ghalekohneh Taiwo A. Adebiyi Bo Zhao Ruda Zhang 41 3 0 13 Sep 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning Jung-Hoon Cho Vindula Jayawardana Sirui Li Cathy Wu OffRL 60 0 0 08 Aug 2024
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly Mengqi Guo Chen Li Yuyang Zhao Gim Hee Lee ViT 42 0 0 22 Jul 2024
Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It Yuta Saito Masahiro Nomura OffRL 52 2 0 23 Apr 2024
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials Lingxiao Yuan Emma Lejeune Harold S. Park 28 0 0 19 Apr 2024
Checkpoint Merging via Bayesian Optimization in LLM Pretraining Deyuan Liu Zecheng Wang Bingning Wang Weipeng Chen Chunshan Li Zhiying Tu Dianhui Chu Bo Li Dianbo Sui MoMe 52 16 0 28 Mar 2024
Global Safe Sequential Learning via Efficient Knowledge Transfer Cen-You Li Olaf Duennbier Marc Toussaint Barbara Rakitsch Christoph Zimmer 52 2 0 22 Feb 2024
Finding safe 3D robot grasps through efficient haptic exploration with unscented Bayesian optimization and collision penalty João Castanheira Pedro Vicente Ruben Martinez-Cantin L. Jamone Alexandre Bernardino 29 11 0 10 Feb 2024
Bayesian Optimization with Adaptive Kernels for Robot Control Ruben Martinez-Cantin 17 37 0 10 Feb 2024
On the development of a practical Bayesian optimisation algorithm for expensive experiments and simulations with changing environmental conditions Mike Diessner Kevin J. Wilson Richard D. Whalley 29 0 0 05 Feb 2024
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers P. Rodriguez-Fernandez N. T. Howard A. Saltzman S. Kantamneni J. Candy C. Holland M. Balandat Sebastian Ament A. E. White 20 10 0 19 Dec 2023
Deep Photonic Reservoir Computer for Speech Recognition Enrico Picco Alessandro Lupo Serge Massar 21 4 0 11 Dec 2023
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization Ahmed Shoyeb Raihan H. Khosravi Srinjoy Das Imtiaz Ahmed 39 3 0 16 Nov 2023
Understanding an Acquisition Function Family for Bayesian Optimization Jiajie Kong Tony Pourmohamad Herbert K. H. Lee 19 0 0 16 Oct 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 34 2 0 15 Oct 2023
Practical First-Order Bayesian Optimization Algorithms Utkarsh Prakash Aryan Chollera Kushagra Khatwani P. K. J. Tejas Bodas 30 1 0 19 Jun 2023
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization Navid Ansari Hans-Peter Seidel Vahid Babaei 29 2 0 01 Jun 2023
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning Jungtaek Kim 41 1 0 24 May 2023
Impact Study of Numerical Discretization Accuracy on Parameter Reconstructions and Model Parameter Distributions Matthias Plock M. Hammerschmidt Sven Burger Philipp‐Immanuel Schneider Christof Schütte 26 0 0 04 May 2023
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Y. Yin Yu Wang Gang Xu 45 4 0 04 May 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction Guan-Hong Chen Zhenhao Chen Shunxing Fan Kun Zhang 31 22 0 09 Apr 2023
A dynamic Bayesian optimized active recommender system for curiosity-driven Human-in-the-loop automated experiments Arpan Biswas Yongtao Liu Nicole Creange Yu-Chen Liu S. Jesse Jan-Chi Yang Sergei V. Kalinin M. Ziatdinov Rama K Vasudevan 27 5 0 05 Apr 2023
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing Kunal Jain J. PrabuchandranK. Tejas Bodas 35 2 0 21 Mar 2023
Preference-Aware Delivery Planning for Last-Mile Logistics Qian Shao Shih-Fen Cheng 19 1 0 08 Mar 2023
BO-Muse: A human expert and AI teaming framework for accelerated experimental design Sunil R. Gupta A. Shilton V. ArunKumarA. S. Ryan Majid Abdolshah Hung Le Santu Rana Julian Berk Mahad Rashid Svetha Venkatesh 42 7 0 03 Mar 2023
Detection and classification of vocal productions in large scale audio recordings Guillem Bonafos Pierre Pudlo Jean-Marc Freyermuth T. Legou J. Fagot Samuel Tronccon Arnaud Rey AI4TS 21 1 0 14 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Bin Cui BDL 39 29 0 12 Feb 2023
Global and Preference-based Optimization with Mixed Variables using Piecewise Affine Surrogates Mengjia Zhu Alberto Bemporad 16 1 0 09 Feb 2023
Keyframe Demonstration Seeded and Bayesian Optimized Policy Search Onur Berk Töre Farzin Negahbani Barış Akgün 16 1 0 19 Jan 2023
Robust Bayesian Target Value Optimization J. G. Hoffer Sascha Ranftl Bernhard C. Geiger 28 9 0 11 Jan 2023
QoS-Aware Resource Management for Multi-phase Serverless Workflows with Aquatope Zhuangzhuang Zhou Yanqi Zhang Christina Delimitrou 34 1 0 28 Dec 2022
Extrinsic Bayesian Optimizations on Manifolds Yi-Zheng Fang Mu Niu P. Cheung Lizhen Lin 31 1 0 21 Dec 2022
Rollout Algorithms and Approximate Dynamic Programming for Bayesian Optimization and Sequential Estimation Dimitri Bertsekas 38 3 0 15 Dec 2022
Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator Shuhei Watanabe Noor H. Awad Masaki Onishi Frank Hutter 33 9 0 13 Dec 2022
Combining Planning, Reasoning and Reinforcement Learning to solve Industrial Robot Tasks Matthias Mayr Faseeh Ahmad Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 11 11 0 07 Dec 2022
Faster variational quantum algorithms with quantum kernel-based surrogate models Alistair W. R. Smith A. Paige Myungshik S. Kim 20 4 0 02 Nov 2022
Atlas: Automate Online Service Configuration in Network Slicing Qiang Liu Nakjung Choi Tao Han 20 7 0 30 Oct 2022
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources P. Mikkola Julien Martinelli Louis Filstroff Samuel Kaski 38 10 0 25 Oct 2022
Optimization on Manifolds via Graph Gaussian Processes Hwanwoo Kim D. Sanz-Alonso Ruiyi Yang 48 2 0 20 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 49 54 0 16 Oct 2022
Multi-step Planning for Automated Hyperparameter Optimization with OptFormer Lucio Dery A. Friesen Nando de Freitas MarcÁurelio Ranzato Yutian Chen 50 0 0 10 Oct 2022