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Papers matching “nonparametric learning” 14

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A supervised deep learning method for nonparametric density estimation
2024 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Thijs Bos, Johannes Schmidt-Hieber

2

citations
A supervised deep learning method for nonparametric density estimation
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Thijs Bos, Johannes Schmidt-Hieber

0

citations
Nonparametric Learning Non-Gaussian Quantum States of Continuous Variable Systems
2026 Physical Review Letters article Computer Science Quantum Information and Cryptography Open access

Liubov A. Markovich, Xiaoyu Liu, Jordi Tura

0

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
Accurate machine learning prediction of sexual orientation based on brain morphology and intrinsic functional connectivity
2022 Cerebral Cortex article Neuroscience Functional Brain Connectivity Studies Open access

Benjamin Clemens, Jérémy Lefort‐Besnard, Christoph Ritter, Elke Stefanie Smith, Mikhail Votinov, Birgit Derntl, +2 more

4

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Gaussian Processes and Bayesian Inference Open access cited by 1 patent

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

48

citations
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe

9

citations
Non-Parametric Word Sense Disambiguation for Historical Languages
2022 conference-paper Computer Science Natural Language Processing Techniques Open access

Enrique Manjavacas Arévalo, Lauren Fonteyn

8

citations
Innovative graph-theory based data analysis approaches for functional neuroimaging data tailored to application in neuropsychiatry
2025 RWTH Publications (RWTH Aachen) dissertation Neuroscience Functional Brain Connectivity Studies Open access

Shukti Ramkiran

0

citations
A general framework for Bayes structured linear models
2020 The Annals of Statistics article Mathematics Statistical Methods and Inference Open access

Chao Gao, Aad van der Vaart, Harrison H. Zhou

30

citations
Context-Adaptive Thresholding for Conditionally Representative Monitoring and Classification
2026 arXiv (Cornell University) preprint Computer Science Imbalanced Data Classification Techniques Open access

Ansgar Steland

0

citations
Histogram via entropy reduction (HER): an information-theoretic alternative for geostatistics
2020 Hydrology and earth system sciences article Environmental Science Soil Geostatistics and Mapping Open access

Stephanie Thiesen, Diego M. Vieira, Mirko Mälicke, Ralf Loritz, Florian Wellmann, Uwe Ehret

17

citations
Selecting fitted models under epistemic uncertainty using a stochastic process on quantile functions
2025 Nature Communications article Mathematics Statistical Methods and Inference Open access

Alexandre René, André Longtin

2

citations
Galaxy Evolution in All Five CANDELS Fields and IllustrisTNG: Morphological, Structural, and the Major Merger Evolution to z ∼ 3
2021 The Astrophysical Journal article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

A. Whitney, Leonardo Ferreira, Christopher J. Conselice, K. J. Duncan

54

citations

14 results