Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 24

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 24 of 25: papers 2,301 to 2,400 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.

• Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels
  1 Dec 2015 · 0 repositories
• Scalable Inference for Gaussian Process Models with Black-Box Likelihoods
  1 Dec 2015 · 0 repositories
• Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis
  1 Dec 2015 · 0 repositories
• Statistical Model Criticism using Kernel Two Sample Tests
  1 Dec 2015 · 0 repositories
• Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond
  21 Nov 2015 · 0 repositories · arXiv:1511.06890
• The Variational Gaussian Process
  20 Nov 2015 · 0 repositories · arXiv:1511.06499
• Complex-Valued Gaussian Processes for Regression
  18 Nov 2015 · 0 repositories · arXiv:1511.05710
• Model-based Dashboards for Customer Analytics
  17 Nov 2015 · 0 repositories · arXiv:1511.05614
• Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces
  13 Nov 2015 · 0 repositories · arXiv:1511.04408
• Kernel Methods for Accurate UWB-Based Ranging with Reduced Complexity
  10 Nov 2015 · 0 repositories · arXiv:1511.04045
• Stochastic Expectation Propagation for Large Scale Gaussian Process Classification
  10 Nov 2015 · 0 repositories · arXiv:1511.03249
• Efficient Multiscale Gaussian Process Regression using Hierarchical Clustering
  6 Nov 2015 · 0 repositories · arXiv:1511.02258
• Gaussian Process Random Fields
  31 Oct 2015 · 1 repository · arXiv:1511.00054
• The Human Kernel
  26 Oct 2015 · 0 repositories · arXiv:1510.07389
• Dual Control for Approximate Bayesian Reinforcement Learning
  13 Oct 2015 · 0 repositories · arXiv:1510.03591
• Fast Gaussian Process Regression for Big Data
  17 Sep 2015 · 0 repositories · arXiv:1509.05142
• Modeling and interpolation of the ambient magnetic field by Gaussian processes
  15 Sep 2015 · 0 repositories · arXiv:1509.04634
• Semi-described and semi-supervised learning with Gaussian processes
  3 Sep 2015 · 0 repositories · arXiv:1509.01168
• Fingerprinting-Based Positioning in Distributed Massive MIMO Systems
  1 Sep 2015 · 0 repositories · arXiv:1509.00202
• Varying-coefficient models with isotropic Gaussian process priors
  28 Aug 2015 · 0 repositories · arXiv:1508.07192
• A Bayesian framework for functional calibration of expensive computational models through non-isometric matching
  5 Aug 2015 · 0 repositories · arXiv:1508.01240
• Scalable Gaussian Process Classification via Expectation Propagation
  16 Jul 2015 · 0 repositories · arXiv:1507.04513
• Classifying X-ray Binaries: A Probabilistic Approach
  13 Jul 2015 · 1 repository · arXiv:1507.03538
• Joint estimation of quantile planes over arbitrary predictor spaces
  11 Jul 2015 · 0 repositories · arXiv:1507.03130
• Intrinsic Non-stationary Covariance Function for Climate Modeling
  9 Jul 2015 · 0 repositories · arXiv:1507.02356
• Anomaly Detection and Removal Using Non-Stationary Gaussian Processes
  2 Jul 2015 · 0 repositories · arXiv:1507.00566
• Correlated Random Measures
  2 Jul 2015 · 0 repositories · arXiv:1507.00720
• Gaussian Process for Noisy Inputs with Ordering Constraints
  30 Jun 2015 · 0 repositories · arXiv:1507.00052
• Doubly Decomposing Nonparametric Tensor Regression
  19 Jun 2015 · 0 repositories · arXiv:1506.05967
• Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases
  18 Jun 2015 · 1 repository · arXiv:1506.05555
• Computationally Efficient Bayesian Learning of Gaussian Process State Space Models
  7 Jun 2015 · 0 repositories · arXiv:1506.02267
• Generalized Spectral Kernels
  7 Jun 2015 · 0 repositories · arXiv:1506.02236
• Local Nonstationarity for Efficient Bayesian Optimization
  5 Jun 2015 · 0 repositories · arXiv:1506.02080
• Bayesian optimization for materials design
  3 Jun 2015 · 1 repository · arXiv:1506.01349
• Spike and Slab Gaussian Process Latent Variable Models
  10 May 2015 · 0 repositories · arXiv:1505.02434
• Bayesian Optimization for Synthetic Gene Design
  7 May 2015 · 0 repositories · arXiv:1505.01627
• Identifying Reliable Annotations for Large Scale Image Segmentation
  28 Apr 2015 · 0 repositories · arXiv:1504.07460
• On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes
  27 Apr 2015 · 0 repositories · arXiv:1504.07027
• On the relation between Gaussian process quadratures and sigma-point methods
  22 Apr 2015 · 0 repositories · arXiv:1504.05994
• Indian Buffet process for model selection in convolved multiple-output Gaussian processes
  22 Mar 2015 · 1 repository · arXiv:1503.06432
• Differentiating the multipoint Expected Improvement for optimal batch design
  18 Mar 2015 · 0 repositories · arXiv:1503.05509
• Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
  18 Mar 2015 · 0 repositories · arXiv:1503.05521
• Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs
  9 Mar 2015 · 1 repository · arXiv:1503.02424
• Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data
  7 Mar 2015 · 1 repository · arXiv:1503.02182
• Quantifying Uncertainty in Stochastic Models with Parametric Variability
  4 Mar 2015 · 0 repositories · arXiv:1503.01401
• Functional Gaussian Process Model for Bayesian Nonparametric Analysis
  10 Feb 2015 · 0 repositories · arXiv:1502.03042
• Gaussian Processes for Data-Efficient Learning in Robotics and Control
  10 Feb 2015 · 1 repository · arXiv:1502.02860
• Probabilistic Line Searches for Stochastic Optimization
  10 Feb 2015 · 1 repository · arXiv:1502.02846
  Syntology 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) · 2 unverified (of 4 harvested samples)
• Discriminative training for Convolved Multiple-Output Gaussian processes
  7 Feb 2015 · 0 repositories · arXiv:1502.02089
• Marginalizing Gaussian Process Hyperparameters using Sequential Monte Carlo
  6 Feb 2015 · 0 repositories · arXiv:1502.01908
• Enhanced Mixtures of Part Model for Human Pose Estimation
  22 Jan 2015 · 0 repositories · arXiv:1501.05382
• Gaussian Process Pseudo-Likelihood Models for Sequence Labeling
  25 Dec 2014 · 0 repositories · arXiv:1412.7868
• Bayesian Fisher's Discriminant for Functional Data
  9 Dec 2014 · 0 repositories · arXiv:1412.2929
• Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression
  9 Dec 2014 · 0 repositories · arXiv:1412.3078
• Automated Variational Inference for Gaussian Process Models
  1 Dec 2014 · 0 repositories
• Bayesian Inference for Structured Spike and Slab Priors
  1 Dec 2014 · 0 repositories
• Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling
  1 Dec 2014 · 0 repositories
• Extended and Unscented Gaussian Processes
  1 Dec 2014 · 0 repositories
• Fast Kernel Learning for Multidimensional Pattern Extrapolation
  1 Dec 2014 · 0 repositories
• Nonparametric Bayesian inference on multivariate exponential families
  1 Dec 2014 · 0 repositories
• Sparse Bayesian structure learning with “dependent relevance determination” priors
  1 Dec 2014 · 0 repositories
• Metrics for Probabilistic Geometries
  27 Nov 2014 · 0 repositories · arXiv:1411.7432
• Robust EM kernel-based methods for linear system identification
  21 Nov 2014 · 0 repositories · arXiv:1411.5915
• Maximum Entropy Kernels for System Identification
  20 Nov 2014 · 0 repositories · arXiv:1411.5620
• Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation
  17 Nov 2014 · 1 repository · arXiv:1411.4510
• A chain rule for the expected suprema of Gaussian processes
  10 Nov 2014 · 0 repositories · arXiv:1411.2635
• Distributed Submodular Maximization
  3 Nov 2014 · 0 repositories · arXiv:1411.0541
• Heteroscedastic Treed Bayesian Optimisation
  27 Oct 2014 · 0 repositories · arXiv:1410.7172
• Gaussian Process Models with Parallelization and GPU acceleration
  18 Oct 2014 · 0 repositories · arXiv:1410.4984
• Probabilistic Network Metrics: Variational Bayesian Network Centrality
  15 Sep 2014 · 0 repositories · arXiv:1409.4141
• Variational Inference for Uncertainty on the Inputs of Gaussian Process Models
  8 Sep 2014 · 0 repositories · arXiv:1409.2287
• Kernel-based Information Criterion
  25 Aug 2014 · 0 repositories · arXiv:1408.5810
• A new integral loss function for Bayesian optimization
  20 Aug 2014 · 0 repositories · arXiv:1408.4622
• Joint Hierarchical Gaussian Process Model with Application to Forecast in Medical Monitoring
  20 Aug 2014 · 0 repositories · arXiv:1408.4660
• On solving Ordinary Differential Equations using Gaussian Processes
  17 Aug 2014 · 0 repositories · arXiv:1408.3807
• Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena
  9 Aug 2014 · 0 repositories · arXiv:1408.2046
• Gaussian Process Structural Equation Models with Latent Variables
  9 Aug 2014 · 0 repositories · arXiv:1408.2042
• Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
  9 Aug 2014 · 0 repositories · arXiv:1408.2039
• Automated Machine Learning on Big Data using Stochastic Algorithm Tuning
  30 Jul 2014 · 0 repositories · arXiv:1407.7969
• Mind the Nuisance: Gaussian Process Classification using Privileged Noise
  1 Jul 2014 · 0 repositories · arXiv:1407.0179
• A scaled gradient projection method for Bayesian learning in dynamical systems
  25 Jun 2014 · 0 repositories · arXiv:1406.6603
• Freeze-Thaw Bayesian Optimization
  16 Jun 2014 · 1 repository · arXiv:1406.3896
  Syntology 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)
• Compressed Gaussian Process
  7 Jun 2014 · 0 repositories · arXiv:1406.1916
• Functional Gaussian processes for regression with linear PDE models
  29 May 2014 · 0 repositories · arXiv:1405.7569
• A Constrained Matrix-Variate Gaussian Process for Transposable Data
  27 Apr 2014 · 0 repositories · arXiv:1404.6702
• Approximate Inference for Nonstationary Heteroscedastic Gaussian process Regression
  22 Apr 2014 · 0 repositories · arXiv:1404.5443
• GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model
  21 Apr 2014 · 0 repositories · arXiv:1404.5165
• Surpassing Human-Level Face Verification Performance on LFW with GaussianFace
  15 Apr 2014 · 0 repositories · arXiv:1404.3840
• Bayesian Multi-Scale Optimistic Optimization
  27 Feb 2014 · 0 repositories · arXiv:1402.7005
• Manifold Gaussian Processes for Regression
  24 Feb 2014 · 1 repository · arXiv:1402.5876
• Student-t Processes as Alternatives to Gaussian Processes
  18 Feb 2014 · 0 repositories · arXiv:1402.4306
• Gaussian Process Volatility Model
  13 Feb 2014 · 0 repositories · arXiv:1402.3085
• Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models - a Gentle Tutorial
  6 Feb 2014 · 0 repositories · arXiv:1402.1412
• Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
  21 Jan 2014 · 2 repositories · arXiv:1401.5508
• Efficient Informative Sensing using Multiple Robots
  15 Jan 2014 · 0 repositories · arXiv:1401.3462
• GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation
  13 Jan 2014 · 0 repositories · arXiv:1401.2838
• Accelerating ABC methods using Gaussian processes
  7 Jan 2014 · 0 repositories · arXiv:1401.1436
• Outlier robust system identification: a Bayesian kernel-based approach
  21 Dec 2013 · 0 repositories · arXiv:1312.6317
• The Matrix Ridge Approximation: Algorithms and Applications
  17 Dec 2013 · 0 repositories · arXiv:1312.4717
• Approximate Gaussian process inference for the drift function in stochastic differential equations
  1 Dec 2013 · 0 repositories