https://uwspace.uwaterloo.ca/items/bce5718b-4cdd-4b6b-a7a6-9f57e471d753
Learn Privacy-friendly Global Gaussian Processes in Federated Learning
In the era of big data, Federated Learning (FL) has drawn great attention as it naturally operates on distributed computational resources without the need of...
learn privacygaussian processesfriendlyglobalfederated
https://statistics.stanford.edu/research/gaussian-processes
Gaussian processes | Department of Statistics
gaussian processesdepartment ofstatistics
https://openreview.net/forum?id=OvFjnqxmuo
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification |...
This work introduces the Efficient Transformed Gaussian Process (ETGP), a new way of creating $C$ stochastic processes characterized by: 1) the $C$ processes...
gaussian processesmulti classefficienttransformed
https://openreview.net/forum?id=JWtrk7mprJ
Residual Deep Gaussian Processes on Manifolds | OpenReview
We propose practical deep Gaussian process models on Riemannian manifolds, similar in spirit to residual neural networks. With manifold-to-manifold hidden...
gaussian processesresidualdeepmanifoldsopenreview
https://cdnjs.deepai.org/publication/joint-gaussian-processes-for-biophysical-parameter-retrieval
Joint Gaussian Processes for Biophysical Parameter Retrieval | DeepAI
Nov 14, 2017 - 11/14/17 - Solving inverse problems is central to geosciences and remote sensing. Radiative transfer models (RTMs) represent mathematically t...
gaussian processesjointbiophysicalparameterretrieval
https://www.hswt.de/forschung/forschungsprofil/publikationen/detail/dynamically-self-adjusting-gaussian-processes-for-data-stream-modelling-1
Dynamically Self-Adjusting Gaussian Processes for Data Stream Modelling | HSWT
self adjustinggaussian processesfor datastreammodelling
https://www.topfreebooks.org/gaussian-processes-for-machine-learning/
Gaussian Processes for Machine Learning | Download free books legally
Mar 30, 2018 - Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines.The book deals with the supervised-learning...
download free booksgaussian processesmachine learninglegally
https://liyingbo.com/stat/2021/03/17/book-notes-gaussian-processes-for-machine-learning-ch2-gaussian-process-regression/
Book Notes: Gaussian Processes for Machine learning -- Ch2 Gaussian Process Regression - King Fox...
book notesgaussian processesmachine learning
https://proceedings.neurips.cc/paper_files/paper/2018/hash/4172f3101212a2009c74b547b6ddf935-Abstract.html
Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo
in deepgaussian processesinference
https://virtual.aistats.org/virtual/2026/poster/13579
AISTATS Poster Tensor Gaussian Processes: Efficient Solvers for Nonlinear PDEs
gaussian processesaistatspostertensorefficient
https://eprints.lancs.ac.uk/id/eprint/73874/
Efficient inference for spatial extreme value processes associated to log-Gaussian random functions...
https://arxiv.org/abs/1810.03052
[1810.03052] Deep convolutional Gaussian processes
Abstract page for arXiv paper 1810.03052: Deep convolutional Gaussian processes
deepgaussianprocesses
https://papers.nips.cc/paper_files/paper/2017/hash/333cb763facc6ce398ff83845f224d62-Abstract.html
Spectral Mixture Kernels for Multi-Output Gaussian Processes
spectralmixturekernelsmultioutput
https://www.climatechange.ai/papers/iclr2024/33
Fast non-stationary geospatial modelling with multiresolution (wavelet) Gaussian processes |...
Climate Change AI - ICLR 2024 Accepted Work
fastnonstationarygeospatialmodelling
https://papers.neurips.cc/paper_files/paper/2018/file/2974788b53f73e7950e8aa49f3a306db-Reviews.html
Reviews: Bayesian Alignments of Warped Multi-Output Gaussian Processes
reviewsbayesianalignmentswarpedmulti
https://www.easychair.org/publications/keyword/V4wr
Keyword: Gaussian processes
keywordgaussianprocesses
https://aaltodoc.aalto.fi/items/36aba793-1031-4dc6-8714-a6742d314959
Deep state-space Gaussian processes
This paper is concerned with a state-space approach to deep Gaussian process (DGP) regression. We construct the DGP by hierarchically putting transformed...
deep statespacegaussianprocesses
https://openreview.net/forum?id=i9VYBEhX5z
Gaussian Process Q-Learning for Finite-Horizon Markov Decision Processes | OpenReview
Many real-world control and optimization problems require making decisions over a finite time horizon to maximize performance. This paper proposes a...
decision processesgaussianqlearning
https://repository.mines.edu/entities/publication/711c6f59-a25b-4f50-bb5a-65833c699334
Quantitative assessment of metabolic health using dynamical systems informed by Gaussian processes
As glucose enters the bloodstream after a meal, the beta cells of the pancreas release the hormone insulin to signal glucose uptake by tissues throughout the...
metabolic health