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Papers matching “kernel regression” 51

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FINKER: Frequency Identification through Nonparametric KErnel Regression in astronomical time series
2024 Astronomy and Astrophysics article Physics and Astronomy Stellar, planetary, and galactic studies Open access

Fiorenzo Stoppa, C. Johnston, Eric Cator, Gijs Nelemans, P. Groot

1

citations
FINKER: Frequency Identification through Nonparametric KErnel Regression in astronomical time series
2023 arXiv (Cornell University) preprint Physics and Astronomy Stellar, planetary, and galactic studies Open access

Fiorenzo Stoppa, C. Johnston, Eric Cator, Gijs Nelemans, P. Groot

0

citations
Learning Functions and Uncertainty Sets Using Geometrically Constrained Kernel Regression
2022 Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes conference-paper Computer Science Gaussian Processes and Bayesian Inference

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

0

citations
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jakob Kramp, Javed Lindner, Moritz Helias

0

citations
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive Control
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Julius Jagdt, Johanna Menn, Sebastian Trimpe, Melanie N. Zeilinger, Anna Scampicchio

0

citations
Gaussian processes and other kernel methods
2025 Cambridge University Press eBooks book-chapter Computer Science Gaussian Processes and Bayesian Inference

Borja Requena, Marylou Gabrié

12

citations
Kernel conditional tests from learning-theoretic bounds
2025 neural information processing systems conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access

Pierre-François Massiani, Christian Fiedler, Lukas Haverbeck, Friedrich Solowjow, Sebastian Trimpe

0

citations
Double Descent in Quantum Kernel Methods
2025 PRX Quantum article Computer Science Quantum Computing Algorithms and Architecture Open access

1

citations
Adiabatic Quantum Kitchen Sinks with Parallel Annealing for Remote Sensing Regression Problems
2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) conference-paper Computer Science Quantum Computing Algorithms and Architecture

Edoardo Pasetto, Morris Riedel, Kristel F. L. Michielsen, Gabriele Cavallaro

1

citations
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
2022 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr

2

citations
Can We Trust Bayesian Uncertainty Quantification from Gaussian Process Priors with Squared Exponential Covariance Kernel?
2021 SIAM/ASA Journal on Uncertainty Quantification article Computer Science Gaussian Processes and Bayesian Inference Open access

Amine Hadji, Botond Szabó

18

citations
Residual bayesian attention networks for uncertainty quantification in regression tasks
2025 Scientific Reports article Computer Science Gaussian Processes and Bayesian Inference Open access

Youliang Chen, Wencan Guan, Rafig Azzam

10

citations
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis
2022 Lecture notes in computer science conference-paper Decision Sciences Advanced Bandit Algorithms Research

Kirill Antonov, Elena Raponi, Hao Wang, Carola Doerr

15

citations
Gaussian Process Regression for Maximum Entropy Distribution
2020 Journal of Computational Physics article Computer Science Gaussian Processes and Bayesian Inference Open access

Mohsen Sadr, Manuel Torrilhon, Hossein Gorji

14

citations
Comprehensive Hybrid Gaussian algorithm for rock mass stability assessment in complex geological formations: A machine learning approach with dynamic kernel optimization
2025 Frontiers of Structural and Civil Engineering article Engineering Tunneling and Rock Mechanics

Youliang Chen, Wencan Guan, Rafig Azzam

1

citations
Smooth Reduced Rank Regression with P-splines
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Mark de Rooij

0

citations
Optimal recovery and uncertainty quantification for distributed Gaussian process regression
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Amine Hadji, Tammo Hesselink, Botond Szabó

3

citations
Weighted 2D-kernel density estimations provide a new probabilistic measure for epigenetic age
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Epigenetics and DNA Methylation Open access

Juan-Felipe Perez-Correa, Thomas Stiehl, Riccardo E. Marioni, Janie Corley, Simon R. Cox, Ivan G. Costa, +1 more

2

citations
Weighted 2D-kernel density estimations provide a new probabilistic measure for epigenetic age
2025 Genome biology article Biochemistry, Genetics and Molecular Biology Epigenetics and DNA Methylation Open access

Juan-Felipe Perez-Correa, Thomas Stiehl, Riccardo E. Marioni, Janie Corley, Simon R. Cox, Ivan G. Costa, +1 more

4

citations
Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
2020 Frontiers in Psychology article Computer Science Gaussian Processes and Bayesian Inference Open access

Julian David Karch, Andreas M. Brandmaier, Manuel C. Voelkle

19

citations
Perfluoroalkyl Acids in Follicular Fluid and Embryo Quality during IVF: A Prospective IVF Cohort in China
2023 Environmental Health Perspectives article Environmental Science Per- and polyfluoroalkyl substances research Open access

Xiao‐Wen Zeng, Michael S. Bloom, Wei Fu, Liling Liu, Jie Qin, Lintao Xue, +8 more

52

citations
Association between prenatal exposure to per- and polyfluoroalkyl substances and pubertal development in boys and girls in the Spanish INMA cohort
2026 Environmental Research article Environmental Science Per- and polyfluoroalkyl substances research Open access

Sara Lopez de Calle, Aitana Lertxundi, Oihane Alvarez, María-José López-Espinosa, Carmen Freire, Mònica Guxens, +7 more

4

citations
Adaptation using spatially distributed Gaussian Processes
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Botond Szabó, Amine Hadji, Aad van der Vaart

0

citations
Adaptation Using Spatially Distributed Gaussian Processes
2025 Journal of the American Statistical Association article Computer Science Gaussian Processes and Bayesian Inference Open access

Botond Szabó, Amine Hadji, Aad van der Vaart

0

citations
Testing for Stable Intervals in Non-Stationary Time Series
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Florian Heinrichs

0

citations