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
A Novel Information-Driven Strategy for Optimal Regression Assessment *

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Asymptotically-exact selective inference for quantile regression

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Deep Spatiotemporal Point Processes: Advances and New Directions

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Variational and approximated Bayesian updating with data-driven autoencoder and homotopy eigenpair expansions

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Deep horseshoe Gaussian processes

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An efficient computational approach for generating synthetic data to train neural networks in concrete bridge monitoring

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Gaussian Processes simplify differential equations

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Selecting fitted models under epistemic uncertainty using a stochastic process on quantile functions

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Towards digital twin of an in-situ experiment: a physics-enhanced machine-learning framework for inverse modelling of mass transport processes

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Structure Learning in Gaussian Graphical Models from Glauber Dynamics

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近5年高被引文献

book Full Text OpenAlex 19147 FWCI0

DiffuCpG

preprint Full Text OpenAlex 5537 FWCI0

Variational Inference: A Review for Statisticians

review Full Text OpenAlex 2158 FWCI33.97390406

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

preprint Full Text OpenAlex 1948 FWCI2944.86428441

Auto-Encoding Variational Bayes

article Full Text OpenAlex 984 FWCI187.80089344

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 719 FWCI127.85662965

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

article Full Text OpenAlex 677 FWCI121.07992874

Optimal ratio for data splitting

article Full Text OpenAlex 654 FWCI127.46503201

Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems

review Full Text OpenAlex 494 FWCI244.09818786