专题:Gaussian Processes and Bayesian Inference

This cluster of papers focuses on the application of Gaussian Processes in machine learning, covering topics such as variational inference, sparse regression, Bayesian inference, deep learning, and probabilistic models. It also explores the use of Gaussian Processes for nonparametric methods, time series modelling, and handling big data.
最新文献
Dimensionless learning based on information

article Full Text OpenAlex

Policy Gradient-Driven Noise Mask

book-chapter Full Text OpenAlex

A novel constrained skew-Gaussian filter and its application to maneuverable reentry vehicle tracking

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A data-driven maximum entropy method for probability uncertainty analysis based on the B-spline theory

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ANN uncertainty estimates in assessing fatty liver content from ultrasound data

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Efficient representations of upper limits and confidence intervals for experimental data

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Deep learning-based stability of quasi-integrable and non-resonant Hamiltonian systems driven by fractional Gaussian noise

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An Adaptive Transfer Learning Framework for Functional Classification

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Hierarchical Shrinkage Gaussian Processes: Applications to Computer Code Emulation and Dynamical System Recovery

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Powerful A/B-Testing Metrics and Where to Find Them

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近5年高被引文献

book Full Text OpenAlex 18997 FWCI0

DiffuCpG

preprint Full Text OpenAlex 5504 FWCI0

Physics-informed machine learning

review Full Text OpenAlex 4862 FWCI432.17009314

Variational Inference: A Review for Statisticians

review Full Text OpenAlex 2157 FWCI33.97390406

Understanding deep learning (still) requires rethinking generalization

article Full Text OpenAlex 2037 FWCI215.32405568

Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences

preprint Full Text OpenAlex 1870 FWCI2578.56365329

Auto-Encoding Variational Bayes

article Full Text OpenAlex 976 FWCI182.0518865

Support Vector Regression

book-chapter Full Text OpenAlex 829 FWCI1.2599823

Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users

article Full Text OpenAlex 687 FWCI123.74485442

PyMC: a modern, and comprehensive probabilistic programming framework in Python

article Full Text OpenAlex 641 FWCI111.88398479