Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 21

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 21 of 25: papers 2,001 to 2,100 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.

• The Limitations of Model Uncertainty in Adversarial Settings
  6 Dec 2018 · 0 repositories · arXiv:1812.02606
• Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
  1 Dec 2018 · 0 repositories
• Inferring Latent Velocities from Weather Radar Data using Gaussian Processes
  1 Dec 2018 · 0 repositories
• Learning a latent manifold of odor representations from neural responses in piriform cortex
  1 Dec 2018 · 0 repositories
• Scalable Hyperparameter Transfer Learning
  1 Dec 2018 · 0 repositories
• Temporal alignment and latent Gaussian process factor inference in population spike trains
  1 Dec 2018 · 0 repositories
• Deep Factors with Gaussian Processes for Forecasting
  30 Nov 2018 · 0 repositories · arXiv:1812.00098
• Neural Non-Stationary Spectral Kernel
  27 Nov 2018 · 1 repository · arXiv:1811.10978
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples)
• Partitioned Variational Inference: A unified framework encompassing federated and continual learning
  27 Nov 2018 · 0 repositories · arXiv:1811.11206
• Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence
  24 Nov 2018 · 0 repositories · arXiv:1811.09757
• Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
  23 Nov 2018 · 1 repository · arXiv:1811.09558
• Mixed Likelihood Gaussian Process Latent Variable Model
  19 Nov 2018 · 1 repository · arXiv:1811.07627
• Recursive Sparse Pseudo-input Gaussian Process SARSA
  17 Nov 2018 · 0 repositories · arXiv:1811.07201
• Mean Square Prediction Error of Misspecified Gaussian Process Models
  16 Nov 2018 · 0 repositories · arXiv:1811.06642
• Reachability-based safe learning for optimal control problem
  9 Nov 2018 · 0 repositories · arXiv:1811.04006
• Unifying Probabilistic Models for Time-Frequency Analysis
  6 Nov 2018 · 1 repository · arXiv:1811.02489
• Large-scale Heteroscedastic Regression via Gaussian Process
  3 Nov 2018 · 0 repositories · arXiv:1811.01179
• Understanding and Comparing Scalable Gaussian Process Regression for Big Data
  3 Nov 2018 · 0 repositories · arXiv:1811.01159
• Multiplicative Latent Force Models
  1 Nov 2018 · 0 repositories · arXiv:1811.00423
• An Efficient Implementation of Riemannian Manifold Hamiltonian Monte Carlo for Gaussian Process Models
  28 Oct 2018 · 0 repositories · arXiv:1810.11893
• Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction
  28 Oct 2018 · 0 repositories · arXiv:1810.11861
• Gaussian Process Prior Variational Autoencoders
  28 Oct 2018 · 3 repositories · arXiv:1810.11738
  Syntology official: harvested, nothing ran · 0 ran · 1 unverified (of 1 harvested sample)
• Adversarially Robust Optimization with Gaussian Processes
  25 Oct 2018 · 0 repositories · arXiv:1810.10775
• Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models
  16 Oct 2018 · 2 repositories · arXiv:1810.06983
• Data Association with Gaussian Processes
  16 Oct 2018 · 0 repositories · arXiv:1810.07158
• Hyperparameter Learning via Distributional Transfer
  15 Oct 2018 · 1 repository · arXiv:1810.06305
  Syntology 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• Non-linear process convolutions for multi-output Gaussian processes
  10 Oct 2018 · 0 repositories · arXiv:1810.04632
• Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective
  8 Oct 2018 · 1 repository · arXiv:1810.03440
  Syntology 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 10 harvested samples)
• Deep convolutional Gaussian processes
  6 Oct 2018 · 1 repository · arXiv:1810.03052
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples)
• GPdoemd: a Python package for design of experiments for model discrimination
  5 Oct 2018 · 1 repository · arXiv:1810.02561
  Syntology official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples)
• Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
  1 Oct 2018 · 9 repositories · arXiv:1810.00825
  Syntology official (archive's flag): 3 ran · 8 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 3 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 1 unverified (of 9 harvested samples) · 4 pointer-only (licence)
• Adaptive Gaussian process surrogates for Bayesian inference
  27 Sep 2018 · 0 repositories · arXiv:1809.10784
• Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
  23 Sep 2018 · 1 repository · arXiv:1809.08568
  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)
• Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities
  21 Sep 2018 · 0 repositories · arXiv:1809.07952
• A Generalized Representer Theorem for Hilbert Space - Valued Functions
  19 Sep 2018 · 0 repositories · arXiv:1809.07347
• InfoSSM: Interpretable Unsupervised Learning of Nonparametric State-Space Model for Multi-modal Dynamics
  19 Sep 2018 · 1 repository · arXiv:1809.07109
• Gaussian Process Classification for Variable Fidelity Data
  13 Sep 2018 · 1 repository · arXiv:1809.05143
• Gaussian process classification using posterior linearisation
  13 Sep 2018 · 0 repositories · arXiv:1809.04967
• Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze
  13 Sep 2018 · 0 repositories · arXiv:1809.04993
• Probabilistic approach to limited-data computed tomography reconstruction
  11 Sep 2018 · 0 repositories · arXiv:1809.03779
• Physics-Information-Aided Kriging: Constructing Covariance Functions using Stochastic Simulation Models
  10 Sep 2018 · 0 repositories · arXiv:1809.03461
• Bayesian Nonparametric Spectral Estimation
  6 Sep 2018 · 1 repository · arXiv:1809.02196
• Gaussian Process Regression for Binned Data
  6 Sep 2018 · 0 repositories · arXiv:1809.02010
• A Multi-layer Gaussian Process for Motor Symptom Estimation in People with Parkinson's Disease
  31 Aug 2018 · 0 repositories · arXiv:1808.10663
• Ensemble Learning Applied to Classify GPS Trajectories of Birds into Male or Female
  26 Aug 2018 · 1 repository · arXiv:1808.08613
• Deep Convolutional Networks as shallow Gaussian Processes
  16 Aug 2018 · 3 repositories · arXiv:1808.05587
  Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample)
• Exploiting Structure for Fast Kernel Learning
  9 Aug 2018 · 1 repository · arXiv:1808.03351
• Improving Temporal Interpolation of Head and Body Pose using Gaussian Process Regression in a Matrix Completion Setting
  6 Aug 2018 · 0 repositories · arXiv:1808.01837
• Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes
  2 Aug 2018 · 1 repository · arXiv:1808.00831
• Machine Learning of Space-Fractional Differential Equations
  2 Aug 2018 · 0 repositories · arXiv:1808.00931
• A Data-Efficient Approach to Precise and Controlled Pushing
  26 Jul 2018 · 0 repositories · arXiv:1807.09904
• Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization
  23 Jul 2018 · 0 repositories · arXiv:1807.08855
• EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
  22 Jul 2018 · 0 repositories · arXiv:1807.08364
• Deep Learning for Epidemiological Predictions
  21 Jul 2018 · 0 repositories
• Evaluating Gaussian Process Metamodels and Sequential Designs for Noisy Level Set Estimation
  18 Jul 2018 · 0 repositories · arXiv:1807.06712
• Battery health prediction under generalized conditions using a Gaussian process transition model
  17 Jul 2018 · 0 repositories · arXiv:1807.06350
• Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors
  15 Jul 2018 · 0 repositories · arXiv:1807.05561
• DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures
  12 Jul 2018 · 0 repositories · arXiv:1807.04833
• Structured Bayesian Gaussian process latent variable model: applications to data-driven dimensionality reduction and high-dimensional inversion
  11 Jul 2018 · 1 repository · arXiv:1807.04302
• An Empirical Approach For Probing the Definiteness of Kernels
  10 Jul 2018 · 0 repositories · arXiv:1807.03555
• Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning
  9 Jul 2018 · 0 repositories · arXiv:1807.03369
• A Tutorial on Bayesian Optimization
  8 Jul 2018 · 7 repositories · arXiv:1807.02811
  Syntology community repositories only · 9 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 1 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 10 harvested samples)
• Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences
  6 Jul 2018 · 0 repositories · arXiv:1807.02582
• Empirical fixed point bifurcation analysis
  4 Jul 2018 · 1 repository · arXiv:1807.01486
• Neural Processes
  4 Jul 2018 · 14 repositories · arXiv:1807.01622
  Syntology community repositories only · 11 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (of 12 harvested samples)
• When Gaussian Process Meets Big Data: A Review of Scalable GPs
  3 Jul 2018 · 0 repositories · arXiv:1807.01065
• AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
  1 Jul 2018 · 1 repository
• Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data
  1 Jul 2018 · 0 repositories
• Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
  1 Jul 2018 · 0 repositories
• Structured Variationally Auto-encoded Optimization
  1 Jul 2018 · 0 repositories
• Variational Network Inference: Strong and Stable with Concrete Support
  1 Jul 2018 · 0 repositories
• Bayesian Deep Learning on a Quantum Computer
  29 Jun 2018 · 2 repositories · arXiv:1806.11463
• Context-Aware Pedestrian Motion Prediction In Urban Intersections
  25 Jun 2018 · 0 repositories · arXiv:1806.09453
• A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors
  19 Jun 2018 · 2 repositories · arXiv:1806.07504
• Stable Gaussian Process based Tracking Control of Euler-Lagrange Systems
  19 Jun 2018 · 1 repository · arXiv:1806.07190
• Grouped Gaussian Processes for Solar Power Prediction
  7 Jun 2018 · 0 repositories · arXiv:1806.02543
• Finding Convincing Arguments Using Scalable Bayesian Preference Learning
  6 Jun 2018 · 1 repository · arXiv:1806.02418
• Killing four birds with one Gaussian process: the relation between different test-time attacks
  6 Jun 2018 · 0 repositories · arXiv:1806.02032
• Pathwise Derivatives Beyond the Reparameterization Trick
  5 Jun 2018 · 1 repository · arXiv:1806.01851
• Normative Modeling of Neuroimaging Data using Scalable Multi-Task Gaussian Processes
  4 Jun 2018 · 0 repositories · arXiv:1806.01047
• Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression
  3 Jun 2018 · 1 repository · arXiv:1806.00720
• A Prior-Less Method for Multi-Face Tracking in Unconstrained Videos
  1 Jun 2018 · 0 repositories
• Multi-Task Learning by Maximizing Statistical Dependence
  1 Jun 2018 · 0 repositories
• Tight Regret Bounds for Bayesian Optimization in One Dimension
  30 May 2018 · 0 repositories · arXiv:1805.11792
• Efficient Bayesian Inference for a Gaussian Process Density Model
  29 May 2018 · 0 repositories · arXiv:1805.11494
• Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
  28 May 2018 · 1 repository · arXiv:1805.10915
  Syntology official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 8 harvested samples)
• Efficient Inference in Multi-task Cox Process Models
  24 May 2018 · 1 repository · arXiv:1805.09781
• Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
  23 May 2018 · 0 repositories · arXiv:1805.09266
• Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models
  23 May 2018 · 0 repositories · arXiv:1805.09122
• Structured Bayesian Gaussian process latent variable model
  22 May 2018 · 0 repositories · arXiv:1805.08665
• Accelerated Bayesian Optimization throughWeight-Prior Tuning
  21 May 2018 · 0 repositories · arXiv:1805.07852
• Online Learning in Kernelized Markov Decision Processes
  21 May 2018 · 0 repositories · arXiv:1805.08052
• Heterogeneous Multi-output Gaussian Process Prediction
  19 May 2018 · 1 repository · arXiv:1805.07633
  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) · 1 unverified (of 3 harvested samples)
• Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian processes
  18 May 2018 · 1 repository · arXiv:1805.07460
• Spatial Uncertainty Sampling for End-to-End Control
  13 May 2018 · 0 repositories · arXiv:1805.04829
• Towards Autonomous Reinforcement Learning: Automatic Setting of Hyper-parameters using Bayesian Optimization
  12 May 2018 · 0 repositories · arXiv:1805.04748
• Dealing with Categorical and Integer-valued Variables in Bayesian Optimization with Gaussian Processes
  9 May 2018 · 1 repository · arXiv:1805.03463
• Modelling cross-dependencies between Spain's regional tourism markets with an extension of the Gaussian process regression model
  2 May 2018 · 0 repositories · arXiv:1805.00861
• Gaussian Process Behaviour in Wide Deep Neural Networks
  30 Apr 2018 · 2 repositories · arXiv:1804.11271
  Syntology official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 4 harvested samples)
• Efficiently Learning Nonstationary Gaussian Processes for Real World Impact
  27 Apr 2018 · 0 repositories · arXiv:1804.10318