Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 15
Gaussian Process
Papers archive 2025-07-28
archive papers tagged: 2,473 · with a code link: 734 · where Syntology ran a sample: 155 (130 with a run with no instrument failure, 25 where every run was a failure of Syntology's instrument) Syntology
Show: all tagged papersonly where code ran (155 of 2,473 tagged: 130 with a run with no instrument failure, 25 where every run was a failure of Syntology's instrument)
Page 15 of 25: papers 1,401 to 1,500 of 2,473, newest first by the archive's date (ties by slug), in archive order.
Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code, as “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified”; the instrument figure counts failures of Syntology's instrument, not of the code. It is per sample and not a correctness claim. When the archive marks a repository official for the paper, the line starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from.
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Temporal Gaussian Process Regression in Logarithmic Time 19 Feb 2021 · 1 repository · arXiv:2102.09964
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Output-Weighted Sampling for Multi-Armed Bandits with Extreme Payoffs 19 Feb 2021 · 1 repository · arXiv:2102.10085
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A Novel Non-Invasive Estimation of Respiration Rate from Photoplethysmograph Signal Using Machine Learning Model 18 Feb 2021 · 0 repositories · arXiv:2102.09483
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Robust non-parametric mortality and fertility modelling and forecasting: Gaussian process regression approaches 18 Feb 2021 · 0 repositories · arXiv:2102.09676
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Geostatistical Learning: Challenges and Opportunities 17 Feb 2021 · 1 repository · arXiv:2102.08791
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Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients 16 Feb 2021 · 0 repositories · arXiv:2102.08314
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GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning 15 Feb 2021 · 1 repository · arXiv:2102.07868
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Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields 15 Feb 2021 · 0 repositories · arXiv:2102.07695
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Surface Warping Incorporating Machine Learning Assisted Domain Likelihood Estimation: A New Paradigm in Mine Geology Modelling and Automation 15 Feb 2021 · 0 repositories · arXiv:2103.03923
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Double-descent curves in neural networks: a new perspective using Gaussian processes 14 Feb 2021 · 0 repositories · arXiv:2102.07238
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Bias-Free Scalable Gaussian Processes via Randomized Truncations 12 Feb 2021 · 1 repository · arXiv:2102.06695
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Lenient Regret and Good-Action Identification in Gaussian Process Bandits 11 Feb 2021 · 1 repository · arXiv:2102.05793
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No-Regret Algorithms for Time-Varying Bayesian Optimization 11 Feb 2021 · 0 repositories · arXiv:2102.06296
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Attentive Gaussian processes for probabilistic time-series generation 10 Feb 2021 · 0 repositories · arXiv:2102.05208
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On Disentanglement in Gaussian Process Variational Autoencoders 10 Feb 2021 · 0 repositories · arXiv:2102.05507
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MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs 9 Feb 2021 · 0 repositories · arXiv:2102.04951
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Directed particle swarm optimization with Gaussian-process-based function forecasting 8 Feb 2021 · 0 repositories · arXiv:2102.04172
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A Bayesian nonparametric approach to count-min sketch under power-law data streams 7 Feb 2021 · 0 repositories · arXiv:2102.03743
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Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty 7 Feb 2021 · 0 repositories · arXiv:2102.03782
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Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes 5 Feb 2021 · 0 repositories · arXiv:2102.03432
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Uncertainty quantification and exploration-exploitation trade-off in humans 5 Feb 2021 · 0 repositories · arXiv:2102.07647
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Structure-preserving Gaussian Process Dynamics 2 Feb 2021 · 0 repositories · arXiv:2102.01606
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A probabilistic Taylor expansion with Gaussian processes 1 Feb 2021 · 0 repositories · arXiv:2102.00877
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Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network 1 Feb 2021 · 0 repositories · arXiv:2102.01147
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Probabilistic RF-Assisted Camera Wake-Up through Self-Supervised Gaussian Process Regression 30 Jan 2021 · 0 repositories · arXiv:2102.03350
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Faster Kernel Interpolation for Gaussian Processes 28 Jan 2021 · 0 repositories · arXiv:2101.11751
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Gaussian Process Latent Class Choice Models 28 Jan 2021 · 0 repositories · arXiv:2101.12252
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Hyper-optimization with Gaussian Process and Differential Evolution Algorithm 26 Jan 2021 · 1 repository · arXiv:2101.10625
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Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation 24 Jan 2021 · 1 repository · arXiv:2101.09747
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Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art 23 Jan 2021 · 0 repositories · arXiv:2101.09505
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A Similarity Measure of Gaussian Process Predictive Distributions 20 Jan 2021 · 0 repositories · arXiv:2101.08061
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Bayesian Optimization Assisted Meal Bolus Decision Based on Gaussian Processes Learning and Risk-Sensitive Control 20 Jan 2021 · 0 repositories · arXiv:2101.08044
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Few-Shot Bayesian Optimization with Deep Kernel Surrogates 19 Jan 2021 · 0 repositories · arXiv:2101.07667
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Transferring model structure in Bayesian transfer learning for Gaussian process regression 18 Jan 2021 · 0 repositories · arXiv:2101.06884
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A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC 15 Jan 2021 · 0 repositories · arXiv:2101.07655
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CobBO: Coordinate Backoff Bayesian Optimization with Two-Stage Kernels 13 Jan 2021 · 1 repository · arXiv:2101.05147
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Automated feature extraction and selection for data-driven models of rapid battery capacity fade and end of life 12 Jan 2021 · 0 repositories · arXiv:2101.04440
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Multi-Robot Gaussian Process Estimation and Coverage: A Deterministic Sequencing Algorithm and Regret Analysis 12 Jan 2021 · 0 repositories · arXiv:2101.04306
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Fast calculation of Gaussian Process multiple-fold cross-validation residuals and their covariances 8 Jan 2021 · 0 repositories · arXiv:2101.03108
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Infinitely Wide Tensor Networks as Gaussian Process 7 Jan 2021 · 0 repositories · arXiv:2101.02333
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Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso 7 Jan 2021 · 0 repositories · arXiv:2101.02404
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Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods 7 Jan 2021 · 0 repositories · arXiv:2101.02505
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Gauss-Legendre Features for Gaussian Process Regression 4 Jan 2021 · 0 repositories · arXiv:2101.01137
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Gaussian Function On Response Surface Estimation 4 Jan 2021 · 0 repositories · arXiv:2101.00772
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Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization 3 Jan 2021 · 0 repositories · arXiv:2101.00729
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Phase Transitions in Recovery of Structured Signals from Corrupted Measurements 3 Jan 2021 · 0 repositories · arXiv:2101.00599
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Anomaly detection and regime searching in fitness-tracker data 1 Jan 2021 · 0 repositories
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Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit 1 Jan 2021 · 0 repositories
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Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning 1 Jan 2021 · 0 repositories
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Learning Collision-free Latent Space for Bayesian Optimization 1 Jan 2021 · 0 repositories
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Learning What Not to Model: Gaussian Process Regression with Negative Constraints 1 Jan 2021 · 0 repositories
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Optimal Designs of Gaussian Processes with Budgets for Hyperparameter Optimization 1 Jan 2021 · 0 repositories
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Variational Deterministic Uncertainty Quantification 1 Jan 2021 · 0 repositories
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Modified Gaussian Process Regression Models for Cyclic Capacity Prediction of Lithium-ion Batteries 31 Dec 2020 · 0 repositories · arXiv:2101.00035
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Particle Swarm Based Hyper-Parameter Optimization for Machine Learned Interatomic Potentials 31 Dec 2020 · 1 repository · arXiv:2101.00049
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Control Barriers in Bayesian Learning of System Dynamics 29 Dec 2020 · 1 repository · arXiv:2012.14964
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Social media data reveals signal for public consumer perceptions 26 Dec 2020 · 0 repositories · arXiv:2012.13675
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Estimation of Driver's Gaze Region from Head Position and Orientation using Probabilistic Confidence Regions 23 Dec 2020 · 0 repositories · arXiv:2012.12754
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APIK: Active Physics-Informed Kriging Model with Partial Differential Equations 22 Dec 2020 · 0 repositories · arXiv:2012.11798
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Gaussian Process Regression constrained by Boundary Value Problems 22 Dec 2020 · 0 repositories · arXiv:2012.11857
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A Bayesian methodology for localising acoustic emission sources in complex structures 21 Dec 2020 · 0 repositories · arXiv:2012.11058
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Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior 21 Dec 2020 · 0 repositories · arXiv:2012.11339
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Parameter Identification for Digital Fabrication: A Gaussian Process Learning Approach 20 Dec 2020 · 0 repositories · arXiv:2012.11022
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Guiding Neural Network Initialization via Marginal Likelihood Maximization 17 Dec 2020 · 0 repositories · arXiv:2012.09943
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Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach 16 Dec 2020 · 0 repositories · arXiv:2012.11325
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Gap Filling of Biophysical Parameter Time Series with Multi-Output Gaussian Processes 11 Dec 2020 · 0 repositories · arXiv:2012.05912
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Retrieval of Case 2 Water Quality Parameters with Machine Learning 8 Dec 2020 · 1 repository · arXiv:2012.04495
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Adaptive Local Bayesian Optimization Over Multiple Discrete Variables 7 Dec 2020 · 0 repositories · arXiv:2012.03501
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Mapping Leaf Area Index with a Smartphone and Gaussian Processes 7 Dec 2020 · 0 repositories · arXiv:2012.04596
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Physics-Aware Gaussian Processes in Remote Sensing 7 Dec 2020 · 0 repositories · arXiv:2012.07986
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Retrieval of aboveground crop nitrogen content with a hybrid machine learning method 7 Dec 2020 · 0 repositories · arXiv:2012.05043
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Statistical Learning for End-to-End Simulations 7 Dec 2020 · 0 repositories · arXiv:2012.05133
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Bayesian optimization assisted unsupervised learning for efficient intra-tumor partitioning in MRI and survival prediction for glioblastoma patients 5 Dec 2020 · 0 repositories · arXiv:2012.03115
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Fusing Optical and SAR time series for LAI gap filling with multioutput Gaussian processes 5 Dec 2020 · 0 repositories · arXiv:2012.02998
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A similarity-based Bayesian mixture-of-experts model 3 Dec 2020 · 0 repositories · arXiv:2012.02130
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A Gaussian Process-based Price-Amount Curve Construction for Demand Response Provided by Internet Data Centers 2 Dec 2020 · 0 repositories · arXiv:2012.01394
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Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case 2 Dec 2020 · 0 repositories · arXiv:2012.01388
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The temporal overfitting problem with applications in wind power curve modeling 2 Dec 2020 · 1 repository · arXiv:2012.01349
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Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication 1 Dec 2020 · 0 repositories · arXiv:2012.00508
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Generalised Bayesian Filtering via Sequential Monte Carlo 1 Dec 2020 · 0 repositories
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Identifying signal and noise structure in neural population activity with Gaussian process factor models 1 Dec 2020 · 0 repositories
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Neuronal Gaussian Process Regression 1 Dec 2020 · 1 repository
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Non-reversible Gaussian processes for identifying latent dynamical structure in neural data 1 Dec 2020 · 0 repositories
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Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes 1 Dec 2020 · 0 repositories
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Variance based sensitivity analysis for Monte Carlo and importance sampling reliability assessment with Gaussian processes 30 Nov 2020 · 0 repositories · arXiv:2011.15001
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Enriching Load Data Using Micro-PMUs and Smart Meters 29 Nov 2020 · 0 repositories · arXiv:2011.14271
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Equivalence of Convergence Rates of Posterior Distributions and Bayes Estimators for Functions and Nonparametric Functionals 27 Nov 2020 · 0 repositories · arXiv:2011.13967
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Knowledge transfer across cell lines using Hybrid Gaussian Process models with entity embedding vectors 27 Nov 2020 · 1 repository · arXiv:2011.13863
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Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes 26 Nov 2020 · 0 repositories · arXiv:2011.13094
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Computational Model of Motion Sickness Describing the Effects of Learning Exogenous Motion Dynamics 25 Nov 2020 · 0 repositories · arXiv:2011.12826
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Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes 25 Nov 2020 · 1 repository · arXiv:2011.12916
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Random Sampling High Dimensional Model Representation Gaussian Process Regression (RS-HDMR-GPR) for representing multidimensional functions with machine-learned lower-dimensional terms allowing insight with a general method 24 Nov 2020 · 1 repository · arXiv:2012.02704
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Data-aided Sensing for Gaussian Process Regression in IoT Systems 23 Nov 2020 · 0 repositories · arXiv:2011.11725
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Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization 23 Nov 2020 · 0 repositories · arXiv:2011.11456
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Robust Gaussian Process Regression Based on Iterative Trimming 22 Nov 2020 · 1 repository · arXiv:2011.11057
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Central and Non-central Limit Theorems arising from the Scattering Transform and its Neural Activation Generalization 21 Nov 2020 · 0 repositories · arXiv:2011.10801
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Neural Network Gaussian Process Considering Input Uncertainty for Composite Structures Assembly 21 Nov 2020 · 0 repositories · arXiv:2011.10861
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Flight Sensor Data and Beamforming based Integrated UAV Tracking with Channel Estimation using Gaussian Process Regression 20 Nov 2020 · 0 repositories · arXiv:2011.10177
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Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry 19 Nov 2020 · 0 repositories · arXiv:2011.09707
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Safe model-based design of experiments using Gaussian processes 19 Nov 2020 · 0 repositories · arXiv:2011.10009