Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 6

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 6 of 25: papers 501 to 600 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.

• Gaussian Process Regression under Computational and Epistemic Misspecification
  14 Dec 2023 · 0 repositories · arXiv:2312.09225
• Modeling Epidemic Spread: A Gaussian Process Regression Approach
  14 Dec 2023 · 1 repository · arXiv:2312.09384
• A Kronecker product accelerated efficient sparse Gaussian Process (E-SGP) for flow emulation
  13 Dec 2023 · 0 repositories · arXiv:2312.10023
• Towards Safe Multi-Task Bayesian Optimization
  12 Dec 2023 · 1 repository · arXiv:2312.07281
• KF-PLS: Optimizing Kernel Partial Least-Squares (K-PLS) with Kernel Flows
  11 Dec 2023 · 0 repositories · arXiv:2312.06547
• Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
  10 Dec 2023 · 2 repositories · arXiv:2312.05910
• Decoding Mean Field Games from Population and Environment Observations By Gaussian Processes
  8 Dec 2023 · 0 repositories · arXiv:2312.06625
• Rational Kriging
  8 Dec 2023 · 0 repositories · arXiv:2312.05372
• An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network
  6 Dec 2023 · 0 repositories · arXiv:2312.03386
• Constrained Bayesian Optimization Under Partial Observations: Balanced Improvements and Provable Convergence
  6 Dec 2023 · 1 repository · arXiv:2312.03212
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 2 harvested samples) · 2 pointer-only (licence)
• AI-guided inverse design and discovery of recyclable vitrimeric polymers
  6 Dec 2023 · 1 repository · arXiv:2312.03690
• Active Learning for Abrupt Shifts Change-point Detection via Derivative-Aware Gaussian Processes
  5 Dec 2023 · 0 repositories · arXiv:2312.03176
• Materials Expert-Artificial Intelligence for Materials Discovery
  5 Dec 2023 · 0 repositories · arXiv:2312.02796
• Optimal Data Generation in Multi-Dimensional Parameter Spaces, using Bayesian Optimization
  4 Dec 2023 · 0 repositories · arXiv:2312.02012
• A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data
  29 Nov 2023 · 1 repository · arXiv:2311.18025
• Estimation of Dynamic Gaussian Processes
  29 Nov 2023 · 1 repository · arXiv:2311.17871
• Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots
  28 Nov 2023 · 1 repository · arXiv:2311.17007
• Identifiable Feature Learning for Spatial Data with Nonlinear ICA
  28 Nov 2023 · 0 repositories · arXiv:2311.16849
• From Prediction to Action: Critical Role of Performance Estimation for Machine-Learning-Driven Materials Discovery
  27 Nov 2023 · 0 repositories · arXiv:2311.15549
• Efficient interpolation of molecular properties across chemical compound space with low-dimensional descriptors
  26 Nov 2023 · 0 repositories · arXiv:2311.15207
• Data-driven Prior Learning for Bayesian Optimisation
  24 Nov 2023 · 1 repository · arXiv:2311.14653
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• Deep Latent Force Models: ODE-based Process Convolutions for Bayesian Deep Learning
  24 Nov 2023 · 0 repositories · arXiv:2311.14828
• Multi-fidelity Bayesian Optimization in Engineering Design
  21 Nov 2023 · 0 repositories · arXiv:2311.13050
• LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions
  19 Nov 2023 · 2 repositories · arXiv:2311.11328
• Closely-Spaced Object Classification Using MuyGPyS
  17 Nov 2023 · 1 repository · arXiv:2311.10904
• Degeneration of kernel regression with Matern kernels into low-order polynomial regression in high dimension
  17 Nov 2023 · 0 repositories · arXiv:2311.10790
• A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options
  13 Nov 2023 · 0 repositories · arXiv:2311.07211
• Novel models for fatigue life prediction under wideband random loads based on machine learning
  13 Nov 2023 · 0 repositories · arXiv:2311.07114
• High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
  10 Nov 2023 · 1 repository · arXiv:2311.06130
• Exploring and Analyzing Wildland Fire Data Via Machine Learning Techniques
  9 Nov 2023 · 0 repositories · arXiv:2311.05128
• Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
  8 Nov 2023 · 1 repository · arXiv:2311.04465
• Deep Bayesian Reinforcement Learning for Spacecraft Proximity Maneuvers and Docking
  7 Nov 2023 · 0 repositories · arXiv:2311.03680
• Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and H₀ inference
  7 Nov 2023 · 1 repository · arXiv:2311.04153
• Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
  7 Nov 2023 · 0 repositories · arXiv:2311.03760
• Uncertainty Quantification in Multivariable Regression for Material Property Prediction with Bayesian Neural Networks
  4 Nov 2023 · 1 repository · arXiv:2311.02495
• Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing
  3 Nov 2023 · 0 repositories · arXiv:2311.01993
• A Coreset-based, Tempered Variational Posterior for Accurate and Scalable Stochastic Gaussian Process Inference
  2 Nov 2023 · 0 repositories · arXiv:2311.01409
• Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures
  1 Nov 2023 · 0 repositories · arXiv:2311.00902
• On Gaussian Process Priors in Conditional Moment Restriction Models
  1 Nov 2023 · 0 repositories · arXiv:2311.00662
• Robust and Conjugate Gaussian Process Regression
  1 Nov 2023 · 1 repository · arXiv:2311.00463
  Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
• Variational Gaussian Processes For Linear Inverse Problems
  1 Nov 2023 · 0 repositories · arXiv:2311.00663
• Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
  31 Oct 2023 · 0 repositories · arXiv:2310.20091
• Efficient Robust Bayesian Optimization for Arbitrary Uncertain Inputs
  31 Oct 2023 · 0 repositories · arXiv:2310.20145
• Projecting basis functions with tensor networks for Gaussian process regression
  31 Oct 2023 · 0 repositories · arXiv:2310.20630
• Stochastic Gradient Descent for Gaussian Processes Done Right
  31 Oct 2023 · 1 repository · arXiv:2310.20581
  Syntology official (archive's flag): 15 ran · 15 ran (of which 0 constructed an object rather than computing a result; 15 with no instrument failure: 0 honoured, 0 violated, 15 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified (of 19 harvested samples)
• Implicit Manifold Gaussian Process Regression
  30 Oct 2023 · 1 repository · arXiv:2310.19390
• Topological Learning for Motion Data via Mixed Coordinates
  30 Oct 2023 · 1 repository · arXiv:2310.19960
• Intrinsic Gaussian Vector Fields on Manifolds
  28 Oct 2023 · 1 repository · arXiv:2310.18824
• Sustainable Concrete via Bayesian Optimization
  27 Oct 2023 · 1 repository · arXiv:2310.18288
  Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified (of 11 harvested samples)
• Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity
  26 Oct 2023 · 1 repository · arXiv:2310.17247
• Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression
  25 Oct 2023 · 0 repositories · arXiv:2310.16574
• Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression
  25 Oct 2023 · 0 repositories · arXiv:2310.16577
• Attitude Takeover Control for Noncooperative Space Targets Based on Gaussian Processes with Online Model Learning
  24 Oct 2023 · 0 repositories · arXiv:2310.15883
• qPOTS: Efficient batch multiobjective Bayesian optimization via Pareto optimal Thompson sampling
  24 Oct 2023 · 1 repository · arXiv:2310.15788
• Mixed-Variable Global Sensitivity Analysis For Knowledge Discovery And Efficient Combinatorial Materials Design
  23 Oct 2023 · 0 repositories · arXiv:2310.15124
• Policy Gradient with Kernel Quadrature
  23 Oct 2023 · 0 repositories · arXiv:2310.14768
• Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
  23 Oct 2023 · 0 repositories · arXiv:2310.15351
• Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression
  23 Oct 2023 · 0 repositories · arXiv:2310.14544
• UncertaintyPlayground: A Fast and Simplified Python Library for Uncertainty Estimation
  23 Oct 2023 · 1 repository · arXiv:2310.15281
• A Finite-Horizon Approach to Active Level Set Estimation
  18 Oct 2023 · 0 repositories · arXiv:2310.11985
• Exact and general decoupled solutions of the LMC Multitask Gaussian Process model
  18 Oct 2023 · 1 repository · arXiv:2310.12032
• Iterative Methods for Vecchia-Laplace Approximations for Latent Gaussian Process Models
  18 Oct 2023 · 2 repositories · arXiv:2310.12000
• Surrogate Active Subspaces for Jump-Discontinuous Functions
  17 Oct 2023 · 0 repositories · arXiv:2310.10907
• Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
  16 Oct 2023 · 1 repository · arXiv:2310.10379
  Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models
  16 Oct 2023 · 0 repositories · arXiv:2310.10767
• Pseudo-Bayesian Optimization
  15 Oct 2023 · 0 repositories · arXiv:2310.09766
• Infinite Width Graph Neural Networks for Node Regression/ Classification
  12 Oct 2023 · 1 repository · arXiv:2310.08176
• Consistency of some sequential experimental design strategies for excursion set estimation based on vector-valued Gaussian processes
  11 Oct 2023 · 0 repositories · arXiv:2310.07315
• Surrogate modeling for stochastic crack growth processes in structural health monitoring applications
  11 Oct 2023 · 0 repositories · arXiv:2310.07241
• A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification
  10 Oct 2023 · 1 repository · arXiv:2310.06585
• A Corrected Expected Improvement Acquisition Function Under Noisy Observations
  8 Oct 2023 · 1 repository · arXiv:2310.05166
• A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling
  5 Oct 2023 · 0 repositories · arXiv:2310.03298
• Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction
  5 Oct 2023 · 0 repositories · arXiv:2310.03314
• Formal and Practical Elements for the Certification of Machine Learning Systems
  5 Oct 2023 · 1 repository · arXiv:2310.03217
• RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels
  5 Oct 2023 · 0 repositories · arXiv:2310.03912
• Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms
  5 Oct 2023 · 0 repositories · arXiv:2310.03225
• Surrogate-based Real-time Curbside Management for Ride-hailing and Delivery Operations
  5 Oct 2023 · 0 repositories · arXiv:2310.03883
• Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
  4 Oct 2023 · 0 repositories · arXiv:2310.03111
• Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
  4 Oct 2023 · 2 repositories · arXiv:2310.02600
• A Learning Based Scheme for Fair Timeliness in Sparse Gossip Networks
  2 Oct 2023 · 0 repositories · arXiv:2310.01396
• Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
  2 Oct 2023 · 1 repository · arXiv:2310.02905
  Syntology official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 2 where Syntology's instrument failed) · 4 unverified (of 11 harvested samples) · 1 pointer-only (licence)
• Data-Efficient Strategies for Probabilistic Voltage Envelopes under Network Contingencies
  1 Oct 2023 · 0 repositories · arXiv:2310.00763
• Assessment and treatment of visuospatial neglect using active learning with Gaussian processes regression
  29 Sep 2023 · 0 repositories · arXiv:2310.13701
• Estimation and Inference in Distributional Reinforcement Learning
  29 Sep 2023 · 1 repository · arXiv:2309.17262
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 2 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples) · 4 pointer-only (licence)
• Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit
  29 Sep 2023 · 1 repository · arXiv:2310.00110
• Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior
  29 Sep 2023 · 0 repositories · arXiv:2310.00097
• Nonparametric estimation of a covariate-adjusted counterfactual treatment regimen response curve
  28 Sep 2023 · 0 repositories · arXiv:2309.16099
• Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
  28 Sep 2023 · 0 repositories · arXiv:2309.16597
• Uncertainty Aware Deep Learning for Particle Accelerators
  25 Sep 2023 · 0 repositories · arXiv:2309.14502
• BARTSIMP: flexible spatial covariate modeling and prediction using Bayesian additive regression trees
  23 Sep 2023 · 0 repositories · arXiv:2309.13270
• Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes
  22 Sep 2023 · 1 repository · arXiv:2309.12658
• Accelerating Motion Planning via Optimal Transport
  21 Sep 2023 · 1 repository
• Bayesian Optimization with Cost-varying Variable Subsets
  21 Sep 2023 · 1 repository
• Contextual Gaussian Process Bandits with Neural Networks
  21 Sep 2023 · 0 repositories
• Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications
  21 Sep 2023 · 1 repository
• Failure-Aware Gaussian Process Optimization with Regret Bounds
  21 Sep 2023 · 0 repositories
• Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
  21 Sep 2023 · 1 repository
• Graph-Structured Gaussian Processes for Transferable Graph Learning
  21 Sep 2023 · 1 repository
• Human spatiotemporal pattern learning as probabilistic program synthesis
  21 Sep 2023 · 0 repositories
• Learning Causal Models under Independent Changes
  21 Sep 2023 · 0 repositories