Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond

21 November 2015

Papers citing "Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond"

15 / 15 papers shown

Title
Long-Term Autonomous Ocean Monitoring with Streaming Samples Weizhe (Wesley) Chen Lantao Liu 33 3 0 11 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 49 6 0 07 Jun 2023
Spectrum Surveying: Active Radio Map Estimation with Autonomous UAVs Raj K. Shrestha Daniel Romero S. Chepuri 38 39 0 11 Jan 2022
Conditioning Sparse Variational Gaussian Processes for Online Decision-making Wesley J. Maddox Samuel Stanton A. Wilson 32 28 0 28 Oct 2021
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey Kai Chen Qinglei Kong Yijue Dai Yue Xu Feng Yin Lexi Xu Shuguang Cui 40 30 0 18 Mar 2021
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization Sreejith Balakrishnan Q. Nguyen Bryan Kian Hsiang Low Harold Soh 22 26 0 17 Nov 2020
Efficient Rollout Strategies for Bayesian Optimization E. Lee David Eriksson Bolong Cheng M. McCourt D. Bindel 21 24 0 24 Feb 2020
Implicit Posterior Variational Inference for Deep Gaussian Processes Haibin Yu Yizhou Chen Zhongxiang Dai K. H. Low Patrick Jaillet 29 42 0 26 Oct 2019
Receding Horizon Curiosity M. Schultheis Boris Belousov Hany Abdulsamad Jan Peters 25 15 0 08 Oct 2019
Information-Guided Robotic Maximum Seek-and-Sample in Partially Observable Continuous Environments Genevieve Flaspohler Victoria L. Preston A. Michel Yogesh A. Girdhar Nicholas Roy 34 45 0 26 Sep 2019
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design Shali Jiang Henry Chai Javier I. González Roman Garnett OffRL 32 49 0 10 Sep 2019
Towards Robust ResNet: A Small Step but A Giant Leap Jingfeng Zhang Bo Han L. Wynter K. H. Low Mohan Kankanhalli 24 41 0 28 Feb 2019
Bayesian optimisation under uncertain inputs Rafael Oliveira Lionel Ott F. Ramos 32 43 0 21 Feb 2019
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs T. Hoang Q. Hoang Ruofei Ouyang K. H. Low 37 53 0 19 Nov 2017
Gaussian Process Decentralized Data Fusion Meets Transfer Learning in Large-Scale Distributed Cooperative Perception Ruofei Ouyang K. H. Low FedML 39 26 0 16 Nov 2017