Consistent Online Gaussian Process Regression Without the Sample
Complexity Bottleneck

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Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck

23 April 2020

Hrusikesha Pradhan

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Papers citing "Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck"

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Title
Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance Vidushi Sharma Maxwell J. Giammona Dmitry Zubarev Andy Tek Khanh Nugyuen Linda Sundberg D. Congiu Young-Hye La 63 12 0 07 Jul 2023
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning Souradip Chakraborty Amrit Singh Bedi Alec Koppel Brian M. Sadler Furong Huang Pratap Tokekar Tianyi Zhou 73 10 0 02 Jun 2022
High-dimensional additive Gaussian processes under monotonicity constraints A. F. López-Lopera François Bachoc O. Roustant 73 9 0 17 May 2022
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy Cole Hawkins Alec Koppel Zheng Zhang 66 4 0 18 Jan 2022
Distributed Gaussian Process Mapping for Robot Teams with Time-varying Communication James Di Ehsan Zobeidi Alec Koppel Nikolay Atanasov 45 3 0 12 Oct 2021
Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference Michael E. Kepler Alec Koppel Amrit Singh Bedi D. Stilwell 31 3 0 26 Jul 2021
Kernel Interpolation for Scalable Online Gaussian Processes Samuel Stanton Wesley J. Maddox Ian A. Delbridge A. Wilson GP 59 30 0 02 Mar 2021
Decision-Making Algorithms for Learning and Adaptation with Application to COVID-19 Data S. Maranò Ali H. Sayed 49 6 0 14 Dec 2020