Entropy Search for Information-Efficient Global Optimization

6 December 2011

Papers citing "Entropy Search for Information-Efficient Global Optimization"

50 / 125 papers shown

Title
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks J. Gornet Yiannis Kantaros Bruno Sinopoli 128 0 0 27 Apr 2025
Pareto-frontier Entropy Search with Variational Lower Bound Maximization Masanori Ishikura Masayuki Karasuyama 63 0 0 31 Jan 2025
Co-Learning Bayesian Optimization Zhendong Guo Y. Ong Tiantian He Haitao Liu 97 2 0 23 Jan 2025
Distributed Thompson sampling under constrained communication Saba Zerefa Zhaolin Ren Haitong Ma Na Li 41 1 0 03 Jan 2025
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 114 2 0 29 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 51 4 0 20 Oct 2024
Machine Learning-Guided Design of Non-Reciprocal and Asymmetric Elastic Chiral Metamaterials Lingxiao Yuan Emma Lejeune Harold S. Park 23 0 0 19 Apr 2024
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization Dawei Zhan 51 5 0 18 Apr 2024
TS-RSR: A provably efficient approach for batch bayesian optimization Zhaolin Ren Na Li 31 2 0 07 Mar 2024
Variational Entropy Search for Adjusting Expected Improvement Nuojin Cheng Stephen Becker 23 1 0 17 Feb 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 45 1 0 13 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 24 0 0 05 Feb 2024
LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions E. Visser C. E. V. Daalen J. C. Schoeman 45 0 0 19 Nov 2023
Understanding an Acquisition Function Family for Bayesian Optimization Jiajie Kong Tony Pourmohamad Herbert K. H. Lee 14 0 0 16 Oct 2023
On Active Learning for Gaussian Process-based Global Sensitivity Analysis Mohit Chauhan Mariel A. Ojeda-Tuz R. Catarelli K. Gurley Dimitrios Tsapetis Michael D. Shields 13 12 0 27 Aug 2023
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing Zehao Wang Alexander Ku Jason Baldridge Thomas L. Griffiths Been Kim UQCV 26 11 0 29 May 2023
Mastering the exploration-exploitation trade-off in Bayesian Optimization Antonio Candelieri 29 1 0 15 May 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 39 29 0 17 Apr 2023
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization Haitong Ma Tianpeng Zhang Yixuan Wu Flavio du Pin Calmon Na Li 24 10 0 10 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 36 7 0 03 Mar 2023
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal Francesco Di Fiore Michela Nardelli L. Mainini 37 22 0 02 Mar 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 37 77 0 28 Feb 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning Adam X. Yang Laurence Aitchison Henry B. Moss 29 4 0 22 Feb 2023
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks Mohamed Aziz Bhouri M. Joly Robert Yu S. Sarkar P. Perdikaris BDL UQCV AI4CE 19 1 0 14 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Tengjiao Wang BDL 39 29 0 12 Feb 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 30 13 0 03 Feb 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation Henry B. Moss Sebastian W. Ober Victor Picheny 32 24 0 24 Jan 2023
Falsification of Learning-Based Controllers through Multi-Fidelity Bayesian Optimization Zahra Shahrooei Mykel J. Kochenderfer Ali Baheri 36 6 0 28 Dec 2022
Information-Theoretic Safe Exploration with Gaussian Processes A. Bottero Carlos E. Luis Julia Vinogradska Felix Berkenkamp Jan Peters 31 13 0 09 Dec 2022
Robustness in Fatigue Strength Estimation D. Weichert Alexander Kister Sebastian Houben G. Ernis Stefan Wrobel 19 1 0 02 Dec 2022
Data-driven Science and Machine Learning Methods in Laser-Plasma Physics Andreas Döpp C. Eberle S. Howard F. Irshad Jinpu Lin M. Streeter AI4CE 32 63 0 30 Nov 2022
Targeted active learning for probabilistic models Christopher Tosh Mauricio Tec Wesley Tansey 29 2 0 21 Oct 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 39 54 0 16 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 27 38 0 06 Oct 2022
Generalizing Bayesian Optimization with Decision-theoretic Entropies W. Neiswanger Lantao Yu Shengjia Zhao Chenlin Meng Stefano Ermon UQCV 45 11 0 04 Oct 2022
Robust Bayesian optimization with reinforcement learned acquisition functions Zijing Liu Xiyao Qu Xuejun Liu Hongqiang Lyu 6 2 0 02 Oct 2022
Efficient computation of the Knowledge Gradient for Bayesian Optimization Juan Ungredda Michael Pearce Juergen Branke 35 2 0 30 Sep 2022
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization Leo Feng Padideh Nouri Aneri Muni Yoshua Bengio Pierre-Luc Bacon 116 4 0 13 Sep 2022
Optimistic Optimization of Gaussian Process Samples Julia Grosse Cheng Zhang Philipp Hennig GP 16 0 0 02 Sep 2022
Fast Bayesian Optimization of Needle-in-a-Haystack Problems using Zooming Memory-Based Initialization (ZoMBI) Alexander E. Siemenn Zekun Ren Qianxiao Li Tonio Buonassisi 44 23 0 26 Aug 2022
Automatic Parameter Adaptation for Quadrotor Trajectory Planning Xin Zhou Chao Xu Fei Gao 16 4 0 13 Jul 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu W. Neiswanger Stefano Ermon 30 22 0 27 Jun 2022
Joint Entropy Search for Maximally-Informed Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi 41 36 0 09 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 199 0 07 Jun 2022
Information-theoretic Inducing Point Placement for High-throughput Bayesian Optimisation Henry B. Moss Sebastian W. Ober Victor Picheny 20 4 0 06 Jun 2022
A Survey on Computationally Efficient Neural Architecture Search Shiqing Liu Haoyu Zhang Yaochu Jin 30 41 0 03 Jun 2022
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning M. Ziatdinov Yongtao Liu K. Kelley Rama K Vasudevan Sergei V. Kalinin AI4CE 47 49 0 30 May 2022
Learning to Use Chopsticks in Diverse Gripping Styles Zeshi Yang KangKang Yin Libin Liu 22 29 0 28 May 2022
A model aggregation approach for high-dimensional large-scale optimization Haowei Wang Ercong Zhang Szu Hui Ng Giulia Pedrielli 22 1 0 16 May 2022
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization Shouri Hu Haowei Wang Zhongxiang Dai K. H. Low Szu Hui Ng 24 4 0 10 May 2022