Maximum Likelihood Estimation in Gaussian Process Regression is
Ill-Posed

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Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed

17 March 2022

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Papers citing "Maximum Likelihood Estimation in Gaussian Process Regression is Ill-Posed"

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Title
Implementing Keyword Spotting on the MCUX947 Microcontroller with Integrated NPU Petar Jakuš Hrvoje Džapo 15 0 0 10 Jun 2025
Weighted Leave-One-Out Cross Validation L. Pronzato M. Rendas 66 0 0 26 May 2025
Physics-based Reduced Order Modeling for Uncertainty Quantification of Guided Wave Propagation using Bayesian Optimization G. Drakoulas T. Gortsas D. Polyzos 105 5 0 18 Jul 2023
HyperBO+: Pre-training a universal prior for Bayesian optimization with hierarchical Gaussian processes Z. Fan Xinran Han Zehao Wang 91 4 0 20 Dec 2022
GParareal: A time-parallel ODE solver using Gaussian process emulation K. Pentland M. Tamborrino Timothy John Sullivan J. Buchanan Lynton C. Appel 48 8 0 31 Jan 2022