Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 23

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 23 of 25: papers 2,201 to 2,300 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.

• Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree
  16 May 2017 · 0 repositories · arXiv:1709.04318
• Compressive Estimation of a Stochastic Process with Unknown Autocorrelation Function
  9 May 2017 · 0 repositories · arXiv:1705.03420
• A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes
  2 May 2017 · 0 repositories · arXiv:1705.00891
• Experimental Design for Non-Parametric Correction of Misspecified Dynamical Models
  2 May 2017 · 0 repositories · arXiv:1705.00956
• Multi-dueling Bandits with Dependent Arms
  29 Apr 2017 · 0 repositories · arXiv:1705.00253
• Structured Sparse Modelling with Hierarchical GP
  27 Apr 2017 · 0 repositories · arXiv:1704.08727
• Asynchronous Distributed Variational Gaussian Processes for Regression
  22 Apr 2017 · 0 repositories · arXiv:1704.06735
• Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
  21 Apr 2017 · 1 repository · arXiv:1704.06498
• Non-parametric Estimation of Stochastic Differential Equations with Sparse Gaussian Processes
  14 Apr 2017 · 1 repository · arXiv:1704.04375
• Integral Transforms from Finite Data: An Application of Gaussian Process Regression to Fourier Analysis
  10 Apr 2017 · 0 repositories · arXiv:1704.02828
• Joint Regression and Ranking for Image Enhancement
  5 Apr 2017 · 0 repositories · arXiv:1704.01235
• Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations
  4 Apr 2017 · 1 repository · arXiv:1704.00963
  Syntology official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified (of 4 harvested samples) · 4 pointer-only (licence)
• On Kernelized Multi-armed Bandits
  3 Apr 2017 · 0 repositories · arXiv:1704.00445
• Reliable Decision Support using Counterfactual Models
  30 Mar 2017 · 0 repositories · arXiv:1703.10651
• Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functions
  29 Mar 2017 · 1 repository · arXiv:1703.09930
  Syntology 13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 15 harvested samples)
• Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
  29 Mar 2017 · 1 repository · arXiv:1703.10230
• Probabilistic Line Searches for Stochastic Optimization
  29 Mar 2017 · 1 repository · arXiv:1703.10034
• Discovering Latent Covariance Structures for Multiple Time Series
  28 Mar 2017 · 0 repositories · arXiv:1703.09528
• Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization
  27 Mar 2017 · 0 repositories · arXiv:1703.09310
• Gaussian Processes with Context-Supported Priors for Active Object Localization
  25 Mar 2017 · 0 repositories · arXiv:1703.08653
• Distribution of Gaussian Process Arc Lengths
  23 Mar 2017 · 0 repositories · arXiv:1703.08031
• Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
  21 Mar 2017 · 21 repositories · arXiv:1703.07015
  Syntology official (archive's flag): 1 ran · 7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 7 harvested samples)
• Real-time 3D Human Tracking for Mobile Robots with Multisensors
  15 Mar 2017 · 0 repositories · arXiv:1703.04877
• Student-t Process Quadratures for Filtering of Non-Linear Systems with Heavy-Tailed Noise
  15 Mar 2017 · 0 repositories · arXiv:1703.05189
• A Statistical Machine Learning Approach to Yield Curve Forecasting
  4 Mar 2017 · 0 repositories · arXiv:1703.01536
• TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process
  2 Mar 2017 · 0 repositories · arXiv:1703.00645
• A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings
  27 Feb 2017 · 1 repository · arXiv:1702.08402
• Embarrassingly Parallel Inference for Gaussian Processes
  27 Feb 2017 · 1 repository · arXiv:1702.08420
• Semi-parametric Network Structure Discovery Models
  27 Feb 2017 · 0 repositories · arXiv:1702.08530
• Control of Gene Regulatory Networks with Noisy Measurements and Uncertain Inputs
  24 Feb 2017 · 0 repositories · arXiv:1702.07652
• Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data
  12 Feb 2017 · 1 repository
• Cluster-based Kriging Approximation Algorithms for Complexity Reduction
  4 Feb 2017 · 0 repositories · arXiv:1702.01313
• A Gaussian Process Regression Model for Distribution Inputs
  31 Jan 2017 · 0 repositories · arXiv:1701.09055
• Patchwork Kriging for Large-scale Gaussian Process Regression
  23 Jan 2017 · 0 repositories · arXiv:1701.06655
• Overlapping Cover Local Regression Machines
  5 Jan 2017 · 0 repositories · arXiv:1701.01218
• A Statistical Approach to Continuous Self-Calibrating Eye Gaze Tracking for Head-Mounted Virtual Reality Systems
  20 Dec 2016 · 0 repositories · arXiv:1612.06919
• Hybrid Repeat/Multi-point Sampling for Highly Volatile Objective Functions
  13 Dec 2016 · 0 repositories · arXiv:1612.03981
• Towards Adaptive Training of Agent-based Sparring Partners for Fighter Pilots
  13 Dec 2016 · 0 repositories · arXiv:1612.04315
• Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation
  10 Dec 2016 · 0 repositories · arXiv:1612.03278
• Predicting brain age with deep learning from raw imaging data results in a reliable and heritable biomarker
  8 Dec 2016 · 1 repository · arXiv:1612.02572
• Bayesian Optimization with Robust Bayesian Neural Networks
  1 Dec 2016 · 1 repository
• Estimating Nonlinear Neural Response Functions using GP Priors and Kronecker Methods
  1 Dec 2016 · 0 repositories
• Incremental Variational Sparse Gaussian Process Regression
  1 Dec 2016 · 0 repositories
• Probing the Compositionality of Intuitive Functions
  1 Dec 2016 · 0 repositories
• Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization
  1 Dec 2016 · 0 repositories · arXiv:1612.00383
• Complex-valued Gaussian Process Regression for Time Series Analysis
  30 Nov 2016 · 0 repositories · arXiv:1611.10073
• Adaptive Design of Experiments for Conservative Estimation of Excursion Sets
  22 Nov 2016 · 0 repositories · arXiv:1611.07256
• Probabilistic structure discovery in time series data
  21 Nov 2016 · 0 repositories · arXiv:1611.06863
• Bayesian optimization of hyper-parameters in reservoir computing
  16 Nov 2016 · 2 repositories · arXiv:1611.05193
• Gaussian process regression can turn non-uniform and undersampled diffusion MRI data into diffusion spectrum imaging
  9 Nov 2016 · 0 repositories · arXiv:1611.02869
• Stochastic Variational Deep Kernel Learning
  1 Nov 2016 · 0 repositories · arXiv:1611.00336
• Variational Inference via χ-Upper Bound Minimization
  1 Nov 2016 · 0 repositories · arXiv:1611.00328
• Auxiliary gradient-based sampling algorithms
  30 Oct 2016 · 1 repository · arXiv:1610.09641
• GPflow: A Gaussian process library using TensorFlow
  27 Oct 2016 · 1 repository · arXiv:1610.08733
• Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes
  27 Oct 2016 · 0 repositories · arXiv:1610.08853
• Stratification of patient trajectories using covariate latent variable models
  27 Oct 2016 · 1 repository · arXiv:1610.08735
• Probabilistic Linear Multistep Methods
  26 Oct 2016 · 0 repositories · arXiv:1610.08417
• Gaussian Process Kernels for Popular State-Space Time Series Models
  25 Oct 2016 · 0 repositories · arXiv:1610.08074
• Spectral Angle Based Unary Energy Functions for Spatial-Spectral Hyperspectral Classification using Markov Random Fields
  22 Oct 2016 · 0 repositories · arXiv:1610.06985
• Mean-Field Variational Inference for Gradient Matching with Gaussian Processes
  21 Oct 2016 · 0 repositories · arXiv:1610.06949
• Minimax Error of Interpolation and Optimal Design of Experiments for Variable Fidelity Data
  21 Oct 2016 · 0 repositories · arXiv:1610.06731
• Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria
  20 Oct 2016 · 0 repositories · arXiv:1610.06462
• AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models
  18 Oct 2016 · 0 repositories · arXiv:1610.05392
• A probabilistic model for the numerical solution of initial value problems
  17 Oct 2016 · 1 repository · arXiv:1610.05261
• Spatio-temporal Gaussian processes modeling of dynamical systems in systems biology
  17 Oct 2016 · 0 repositories · arXiv:1610.05163
• Active exploration in parameterized reinforcement learning
  6 Oct 2016 · 1 repository · arXiv:1610.01986
• Model Selection for Gaussian Process Regression by Approximation Set Coding
  4 Oct 2016 · 0 repositories · arXiv:1610.00907
• Informative Planning and Online Learning with Sparse Gaussian Processes
  24 Sep 2016 · 0 repositories · arXiv:1609.07560
• Gray-box inference for structured Gaussian process models
  14 Sep 2016 · 0 repositories · arXiv:1609.04289
• On the Relationship between Online Gaussian Process Regression and Kernel Least Mean Squares Algorithms
  11 Sep 2016 · 0 repositories · arXiv:1609.03164
• Dialogue manager domain adaptation using Gaussian process reinforcement learning
  9 Sep 2016 · 0 repositories · arXiv:1609.02846
• The Player Kernel: Learning Team Strengths Based on Implicit Player Contributions
  5 Sep 2016 · 0 repositories · arXiv:1609.01176
• Scalable Hyperparameter Optimization with Products of Gaussian Process Experts
  4 Sep 2016 · 1 repository
• Incremental Nonlinear System Identification and Adaptive Particle Filtering Using Gaussian Process
  30 Aug 2016 · 0 repositories · arXiv:1608.08362
• Adaptive Probabilistic Trajectory Optimization via Efficient Approximate Inference
  22 Aug 2016 · 0 repositories · arXiv:1608.06235
• Bayesian Model Selection Methods for Mutual and Symmetric k-Nearest Neighbor Classification
  14 Aug 2016 · 0 repositories · arXiv:1608.04063
• Nested Kriging predictions for datasets with large number of observations
  19 Jul 2016 · 1 repository · arXiv:1607.05432
• A Semiparametric Model for Bayesian Reader Identification
  18 Jul 2016 · 0 repositories · arXiv:1607.05271
• Vision-based Traffic Flow Prediction using Dynamic Texture Model and Gaussian Process
  14 Jul 2016 · 0 repositories · arXiv:1607.03991
• Unsupervised Learning with Imbalanced Data via Structure Consolidation Latent Variable Model
  30 Jun 2016 · 0 repositories · arXiv:1607.00067
• A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification
  14 Jun 2016 · 1 repository · arXiv:1606.04443
  Syntology 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) · 0 unverified (of 1 harvested sample)
• How priors of initial hyperparameters affect Gaussian process regression models
  25 May 2016 · 0 repositories · arXiv:1605.07906
• On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems
  24 May 2016 · 0 repositories · arXiv:1605.07669
• Collaborative Filtering with Side Information: a Gaussian Process Perspective
  23 May 2016 · 0 repositories · arXiv:1605.07025
• Automatic Classification of Irregularly Sampled Time Series with Unequal Lengths: A Case Study on Estimated Glomerular Filtration Rate
  17 May 2016 · 0 repositories · arXiv:1605.05142
• Dynamic Decomposition of Spatiotemporal Neural Signals
  9 May 2016 · 0 repositories · arXiv:1605.02609
• Automatic LQR Tuning Based on Gaussian Process Global Optimization
  6 May 2016 · 0 repositories · arXiv:1605.01950
• Observational-Interventional Priors for Dose-Response Learning
  5 May 2016 · 0 repositories · arXiv:1605.01573
• Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts
  3 May 2016 · 0 repositories · arXiv:1605.00959
• Bayesian Inference of Recursive Sequences of Group Activities from Tracks
  24 Apr 2016 · 0 repositories · arXiv:1604.06970
• Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis
  17 Apr 2016 · 0 repositories · arXiv:1604.04939
• Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains
  11 Apr 2016 · 1 repository · arXiv:1604.03053
• A sequential Monte Carlo approach to Thompson sampling for Bayesian optimization
  1 Apr 2016 · 0 repositories · arXiv:1604.00169
• Gaussian Process Morphable Models
  23 Mar 2016 · 0 repositories · arXiv:1603.07254
• Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics
  14 Feb 2016 · 3 repositories · arXiv:1602.04450
  Syntology community repositories only · 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)
• System Identification through Online Sparse Gaussian Process Regression with Input Noise
  29 Jan 2016 · 1 repository · arXiv:1601.08068
• Time-Varying Gaussian Process Bandit Optimization
  25 Jan 2016 · 0 repositories · arXiv:1601.06650
• Inverse Reinforcement Learning via Deep Gaussian Process
  26 Dec 2015 · 0 repositories · arXiv:1512.08065
• Bayesian Active Model Selection with an Application to Automated Audiometry
  1 Dec 2015 · 0 repositories
• GP Kernels for Cross-Spectrum Analysis
  1 Dec 2015 · 0 repositories