Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 19

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 19 of 25: papers 1,801 to 1,900 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.

• Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
  1 Dec 2019 · 1 repository
• Richer priors for infinitely wide multi-layer perceptrons
  29 Nov 2019 · 1 repository · arXiv:1911.12927
• Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach
  27 Nov 2019 · 0 repositories · arXiv:1912.03359
• A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model
  22 Nov 2019 · 1 repository · arXiv:1911.10225
• Actively Learning Gaussian Process Dynamics
  22 Nov 2019 · 1 repository · arXiv:1911.09946
• Towards a complete 3D morphable model of the human head
  18 Nov 2019 · 1 repository · arXiv:1911.08008
• Iterative Construction of Gaussian Process Surrogate Models for Bayesian Inference
  17 Nov 2019 · 0 repositories · arXiv:1911.07227
• Bayesian nonparametric discontinuity design
  15 Nov 2019 · 1 repository · arXiv:1911.06722
• Conjugate Gradients for Kernel Machines
  14 Nov 2019 · 0 repositories · arXiv:1911.06048
• Uncertainty on Asynchronous Time Event Prediction
  13 Nov 2019 · 1 repository · arXiv:1911.05503
• Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness
  11 Nov 2019 · 0 repositories · arXiv:1911.04322
• Bayesian Active Learning for Structured Output Design
  9 Nov 2019 · 0 repositories · arXiv:1911.03671
• Non-parametric Probabilistic Load Flow using Gaussian Process Learning
  8 Nov 2019 · 0 repositories · arXiv:1911.03093
• Online learning-based Model Predictive Control with Gaussian Process Models and Stability Guarantees
  8 Nov 2019 · 0 repositories · arXiv:1911.03315
• GP-ALPS: Automatic Latent Process Selection for Multi-Output Gaussian Process Models
  5 Nov 2019 · 0 repositories · arXiv:1911.01929
• Application of Gaussian Process Regression to Koopman Mode Decomposition for Noisy Dynamic Data
  4 Nov 2019 · 0 repositories · arXiv:1911.01143
• On Batch Bayesian Optimization
  4 Nov 2019 · 0 repositories · arXiv:1911.01032
• Online tuning and light source control using a physics-informed Gaussian process Adi
  4 Nov 2019 · 0 repositories · arXiv:1911.01538
• Seasonally-Adjusted Auto-Regression of Vector Time Series
  4 Nov 2019 · 0 repositories · arXiv:1911.01010
• Enhanced Convolutional Neural Tangent Kernels
  3 Nov 2019 · 0 repositories · arXiv:1911.00809
• Continual Multi-task Gaussian Processes
  31 Oct 2019 · 2 repositories · arXiv:1911.00002
  Syntology official (archive's flag): 4 ran · 7 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; 4 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples)
• Safe Exploration for Interactive Machine Learning
  30 Oct 2019 · 0 repositories · arXiv:1910.13726
• Function-Space Distributions over Kernels
  29 Oct 2019 · 1 repository · arXiv:1910.13565
  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) · 4 unverified (of 7 harvested samples)
• Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes
  28 Oct 2019 · 2 repositories · arXiv:1910.12478
• Convolutional Sequence Generation for Skeleton-Based Action Synthesis
  27 Oct 2019 · 0 repositories
• Implicit Posterior Variational Inference for Deep Gaussian Processes
  26 Oct 2019 · 1 repository · arXiv:1910.11998
• BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
  25 Oct 2019 · 3 repositories · arXiv:1910.11858
  Syntology official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 8 harvested samples)
• DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
  23 Oct 2019 · 0 repositories · arXiv:1910.11147
• Sparse Orthogonal Variational Inference for Gaussian Processes
  23 Oct 2019 · 1 repository · arXiv:1910.10596
• Bayesian Optimization Allowing for Common Random Numbers
  21 Oct 2019 · 0 repositories · arXiv:1910.09259
• Generalised learning of time-series: Ornstein-Uhlenbeck processes
  21 Oct 2019 · 0 repositories · arXiv:1910.09394
• Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation
  17 Oct 2019 · 1 repository · arXiv:1910.07779
• Why bigger is not always better: on finite and infinite neural networks
  17 Oct 2019 · 0 repositories · arXiv:1910.08013
• Generative Learning of Counterfactual for Synthetic Control Applications in Econometrics
  16 Oct 2019 · 0 repositories · arXiv:1910.07178
• Parametric Gaussian Process Regressors
  16 Oct 2019 · 0 repositories · arXiv:1910.07123
• The Renyi Gaussian Process: Towards Improved Generalization
  15 Oct 2019 · 0 repositories · arXiv:1910.06990
• Regularized Sparse Gaussian Processes
  13 Oct 2019 · 0 repositories · arXiv:1910.05843
• Bayesian Optimization using Pseudo-Points
  12 Oct 2019 · 0 repositories · arXiv:1910.05484
• Evolving Gaussian Process kernels from elementary mathematical expressions
  11 Oct 2019 · 0 repositories · arXiv:1910.05173
• Learning from demonstration with model-based Gaussian process
  11 Oct 2019 · 0 repositories · arXiv:1910.05005
• Electric Load and Power Forecasting Using Ensemble Gaussian Process Regression
  9 Oct 2019 · 0 repositories · arXiv:1910.03783
• Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks
  9 Oct 2019 · 0 repositories · arXiv:1910.03962
• Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression
  8 Oct 2019 · 0 repositories · arXiv:1910.03633
• mfEGRA: Multifidelity Efficient Global Reliability Analysis through Active Learning for Failure Boundary Location
  6 Oct 2019 · 0 repositories · arXiv:1910.02497
• Operational Calibration: Debugging Confidence Errors for DNNs in the Field
  6 Oct 2019 · 0 repositories · arXiv:1910.02352
• Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
  5 Oct 2019 · 0 repositories · arXiv:1910.02291
• Dynamic Embedding on Textual Networks via a Gaussian Process
  5 Oct 2019 · 1 repository · arXiv:1910.02187
• Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
  3 Oct 2019 · 0 repositories · arXiv:1910.01688
• Deep recurrent Gaussian process with variational Sparse Spectrum approximation
  27 Sep 2019 · 1 repository · arXiv:1909.13743
• MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis
  27 Sep 2019 · 3 repositories · arXiv:1909.12637
• Debiased Bayesian inference for average treatment effects
  26 Sep 2019 · 1 repository · arXiv:1909.12078
• The Dynamical Gaussian Process Latent Variable Model in the Longitudinal Scenario
  25 Sep 2019 · 0 repositories · arXiv:1909.11630
• Adversarial Vulnerability Bounds for Gaussian Process Classification
  19 Sep 2019 · 0 repositories · arXiv:1909.08864
• Bayesian Optimization under Heavy-tailed Payoffs
  16 Sep 2019 · 1 repository · arXiv:1909.07040
• MCTS-based Automated Negotiation Agent
  12 Sep 2019 · 0 repositories · arXiv:1909.09461
• Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning
  11 Sep 2019 · 1 repository · arXiv:1909.05004
• Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images
  9 Sep 2019 · 0 repositories · arXiv:1909.05659
• Machine learning accelerates parameter optimization and uncertainty assessment of a land surface model
  9 Sep 2019 · 0 repositories · arXiv:1909.04196
• Unsupervised Image Regression for Heterogeneous Change Detection
  7 Sep 2019 · 0 repositories · arXiv:1909.05948
• Deep kernel learning for integral measurements
  4 Sep 2019 · 0 repositories · arXiv:1909.01844
• Latent Gaussian process with composite likelihoods and numerical quadrature
  4 Sep 2019 · 0 repositories · arXiv:1909.01614
• Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning
  4 Sep 2019 · 0 repositories · arXiv:1909.02041
• A novel active learning-based Gaussian process metamodelling strategy for estimating the full probability distribution in forward UQ analysis
  27 Aug 2019 · 0 repositories · arXiv:1908.10341
• Finite size corrections for neural network Gaussian processes
  27 Aug 2019 · 0 repositories · arXiv:1908.10030
• Using Contextual Information to Improve Blood Glucose Prediction
  24 Aug 2019 · 0 repositories · arXiv:1909.01735
• Adaptive Configuration Oracle for Online Portfolio Selection Methods
  22 Aug 2019 · 0 repositories · arXiv:1908.08258
• Are Registration Uncertainty and Error Monotonically Associated
  21 Aug 2019 · 0 repositories · arXiv:1908.07709
• Harmonized Multimodal Learning with Gaussian Process Latent Variable Models
  14 Aug 2019 · 1 repository · arXiv:1908.04979
• Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension
  12 Aug 2019 · 1 repository · arXiv:1908.04209
• Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
  12 Aug 2019 · 0 repositories · arXiv:1908.04015
• ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
  5 Aug 2019 · 1 repository · arXiv:1908.01425
  Syntology 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 6 harvested samples)
• Gaussian Process Models of Sound Change in Indo-Aryan Dialectology
  1 Aug 2019 · 0 repositories
• Modeling Daily Pan Evaporation in Humid Climates Using Gaussian Process Regression
  1 Aug 2019 · 0 repositories · arXiv:1908.04267
• Scalable Bayesian Non-linear Matrix Completion
  31 Jul 2019 · 0 repositories · arXiv:1908.01009
• A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty
  26 Jul 2019 · 0 repositories · arXiv:1907.11739
• Bayesian Volumetric Autoregressive generative models for better semisupervised learning
  26 Jul 2019 · 1 repository · arXiv:1907.11559
• Sequential Learning of Active Subspaces
  26 Jul 2019 · 1 repository · arXiv:1907.11572
  Syntology 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 6 harvested samples)
• Towards Scalable Gaussian Process Modeling
  25 Jul 2019 · 0 repositories · arXiv:1907.11313
• Accelerating Experimental Design by Incorporating Experimenter Hunches
  22 Jul 2019 · 0 repositories · arXiv:1907.09065
• Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for Paleoceanography
  20 Jul 2019 · 1 repository · arXiv:1907.08738
• Kernel Mode Decomposition and programmable/interpretable regression networks
  19 Jul 2019 · 1 repository · arXiv:1907.08592
• Latent Function Decomposition for Forecasting Li-ion Battery Cells Capacity: A Multi-Output Convolved Gaussian Process Approach
  19 Jul 2019 · 0 repositories · arXiv:1907.09455
• Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs
  19 Jul 2019 · 0 repositories · arXiv:1907.08350
• Structured Variational Inference in Unstable Gaussian Process State Space Models
  16 Jul 2019 · 1 repository · arXiv:1907.07035
• Sequential online prediction in the presence of outliers and change points: an instant temporal structure learning approach
  15 Jul 2019 · 0 repositories · arXiv:1907.06377
• The Use of Gaussian Processes in System Identification
  13 Jul 2019 · 0 repositories · arXiv:1907.06066
• Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification
  11 Jul 2019 · 0 repositories · arXiv:1907.05364
• Gaussian Processes for Analyzing Positioned Trajectories in Sports
  5 Jul 2019 · 0 repositories · arXiv:1907.03043
• Data-Centric Mixed-Variable Bayesian Optimization For Materials Design
  4 Jul 2019 · 0 repositories · arXiv:1907.02577
• Learning GPLVM with arbitrary kernels using the unscented transformation
  3 Jul 2019 · 2 repositories · arXiv:1907.01867
• Adaptive Pricing in Insurance: Generalized Linear Models and Gaussian Process Regression Approaches
  2 Jul 2019 · 0 repositories · arXiv:1907.05381
• Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning
  1 Jul 2019 · 1 repository
• Spatio-thermal depth correction of RGB-D sensors based on Gaussian Processes in real-time
  1 Jul 2019 · 1 repository · arXiv:1907.00549
• Multi-objective multi-generation Gaussian process optimizer for design optimization
  29 Jun 2019 · 1 repository · arXiv:1907.00250
• Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics
  27 Jun 2019 · 0 repositories · arXiv:1906.11909
• Learning Fair Representations for Kernel Models
  27 Jun 2019 · 2 repositories · arXiv:1906.11813
• Modulating Surrogates for Bayesian Optimization
  26 Jun 2019 · 0 repositories · arXiv:1906.11152
• Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field
  25 Jun 2019 · 2 repositories · arXiv:1906.10307
• Compositionally-Warped Gaussian Processes
  23 Jun 2019 · 0 repositories · arXiv:1906.09665
• Sparse Spectrum Gaussian Process for Bayesian Optimization
  21 Jun 2019 · 0 repositories · arXiv:1906.08898