Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 25

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 25 of 25: papers 2,401 to 2,473 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.

• Distributed Submodular Maximization: Identifying Representative Elements in Massive Data
  1 Dec 2013 · 0 repositories
• High-Dimensional Gaussian Process Bandits
  1 Dec 2013 · 0 repositories
• It is all in the noise: Efficient multi-task Gaussian process inference with structured residuals
  1 Dec 2013 · 0 repositories
• Locally Adaptive Bayesian Multivariate Time Series
  1 Dec 2013 · 0 repositories
• Optimizing Instructional Policies
  1 Dec 2013 · 0 repositories
• Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression
  1 Dec 2013 · 0 repositories
• Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC
  28 Nov 2013 · 0 repositories · arXiv:1311.7320
• On Approximate Inference for Generalized Gaussian Process Models
  25 Nov 2013 · 0 repositories · arXiv:1311.6371
• Gaussian Process Optimization with Mutual Information
  19 Nov 2013 · 0 repositories · arXiv:1311.4825
• Particle filter-based Gaussian process optimisation for parameter inference
  4 Nov 2013 · 0 repositories · arXiv:1311.0689
• Multivariate Generalized Gaussian Process Models
  2 Nov 2013 · 0 repositories · arXiv:1311.0360
• Active Learning of Linear Embeddings for Gaussian Processes
  24 Oct 2013 · 0 repositories · arXiv:1310.6740
• Efficient State-Space Inference of Periodic Latent Force Models
  23 Oct 2013 · 0 repositories · arXiv:1310.6319
• Efficient Optimization for Sparse Gaussian Process Regression
  22 Oct 2013 · 0 repositories · arXiv:1310.6007
• Pseudo-Marginal Bayesian Inference for Gaussian Processes
  2 Oct 2013 · 0 repositories · arXiv:1310.0740
• Gaussian Processes for Big Data
  26 Sep 2013 · 9 repositories · arXiv:1309.6835
  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)
• Invariances of random fields paths, with applications in Gaussian Process Regression
  6 Aug 2013 · 0 repositories · arXiv:1308.1359
• Sparse Dictionary-based Attributes for Action Recognition and Summarization
  1 Aug 2013 · 0 repositories · arXiv:1308.0290
• Dimensionality Detection and Integration of Multiple Data Sources via the GP-LVM
  1 Jul 2013 · 0 repositories · arXiv:1307.0323
• Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
  12 Jun 2013 · 0 repositories · arXiv:1306.2861
• Fast Dual Variational Inference for Non-Conjugate LGMs
  5 Jun 2013 · 0 repositories · arXiv:1306.1052
• Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics
  3 Jun 2013 · 0 repositories · arXiv:1306.0308
• Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis
  26 Apr 2013 · 0 repositories · arXiv:1304.7284
• Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration
  19 Apr 2013 · 0 repositories · arXiv:1304.5350
• Expectation Propagation for Neural Networks with Sparsity-promoting Priors
  27 Mar 2013 · 0 repositories · arXiv:1303.6938
• Gaussian Process Kernels for Pattern Discovery and Extrapolation
  18 Feb 2013 · 2 repositories · arXiv:1302.4245
• Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models
  12 Jan 2013 · 0 repositories · arXiv:1301.2724
• A Marginalized Particle Gaussian Process Regression
  1 Dec 2012 · 0 repositories
• Bayesian Warped Gaussian Processes
  1 Dec 2012 · 0 repositories
• Expectation Propagation in Gaussian Process Dynamical Systems
  1 Dec 2012 · 0 repositories
• Learning curves for multi-task Gaussian process regression
  1 Dec 2012 · 0 repositories
• Multiresolution Gaussian Processes
  1 Dec 2012 · 0 repositories
• Phoneme Classification using Constrained Variational Gaussian Process Dynamical System
  1 Dec 2012 · 0 repositories
• Random walk kernels and learning curves for Gaussian process regression on random graphs
  6 Nov 2012 · 0 repositories · arXiv:1211.1328
• Deep Gaussian Processes
  2 Nov 2012 · 0 repositories · arXiv:1211.0358
• Laplace approximation for logistic Gaussian process density estimation and regression
  1 Nov 2012 · 1 repository · arXiv:1211.0174
• Gaussian process regression as a predictive model for Quality-of-Service in Web service systems
  30 Jul 2012 · 0 repositories · arXiv:1207.6910
• Expectation Propagation in Gaussian Process Dynamical Systems: Extended Version
  12 Jul 2012 · 0 repositories · arXiv:1207.2940
• Modelling transition dynamics in MDPs with RKHS embeddings
  18 Jun 2012 · 0 repositories · arXiv:1206.4655
• Practical Bayesian Optimization of Machine Learning Algorithms
  13 Jun 2012 · 4 repositories · arXiv:1206.2944
• Bayesian Active Learning for Classification and Preference Learning
  24 Dec 2011 · 2 repositories · arXiv:1112.5745
• Active learning of neural response functions with Gaussian processes
  1 Dec 2011 · 0 repositories
• Contextual Gaussian Process Bandit Optimization
  1 Dec 2011 · 0 repositories
• Gaussian Process Training with Input Noise
  1 Dec 2011 · 0 repositories
• Information Rates and Optimal Decoding in Large Neural Populations
  1 Dec 2011 · 0 repositories
• Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations
  1 Dec 2011 · 0 repositories
• Robust Multi-Class Gaussian Process Classification
  1 Dec 2011 · 0 repositories
• Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning
  1 Dec 2011 · 0 repositories
• Variational Gaussian Process Dynamical Systems
  1 Dec 2011 · 0 repositories
• Gaussian Process Regression Networks
  19 Oct 2011 · 1 repository · arXiv:1110.4411
  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) · 6 unverified (of 7 harvested samples)
• Active Instance Sampling via Matrix Partition
  1 Dec 2010 · 0 repositories
• Brain covariance selection: better individual functional connectivity models using population prior
  1 Dec 2010 · 0 repositories
• Exact learning curves for Gaussian process regression on large random graphs
  1 Dec 2010 · 0 repositories
• Gaussian Process Preference Elicitation
  1 Dec 2010 · 0 repositories
• Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation
  1 Dec 2010 · 0 repositories
• Slice sampling covariance hyperparameters of latent Gaussian models
  1 Dec 2010 · 0 repositories
• Switched Latent Force Models for Movement Segmentation
  1 Dec 2010 · 0 repositories
• Twin gaussian processes for structured prediction
  1 Mar 2010 · 0 repositories
• Elliptical slice sampling
  31 Dec 2009 · 1 repository · arXiv:1001.0175
• Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design
  21 Dec 2009 · 2 repositories · arXiv:0912.3995
  Syntology 1 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; 0 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Gaussian process regression with Student-t likelihood
  1 Dec 2009 · 0 repositories
• Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes
  1 Dec 2009 · 0 repositories
• Kernels and learning curves for Gaussian process regression on random graphs
  1 Dec 2009 · 0 repositories
• Lattice Regression
  1 Dec 2009 · 0 repositories
• Variational Gaussian-process factor analysis for modeling spatio-temporal data
  1 Dec 2009 · 0 repositories
• Efficient Sampling for Gaussian Process Inference using Control Variables
  1 Dec 2008 · 0 repositories
• Local Gaussian Process Regression for Real Time Online Model Learning
  1 Dec 2008 · 0 repositories
• Modeling human function learning with Gaussian processes
  1 Dec 2008 · 0 repositories
• Multi-task Gaussian Process Learning of Robot Inverse Dynamics
  1 Dec 2008 · 0 repositories
• The Gaussian Process Density Sampler
  1 Dec 2008 · 0 repositories
• Variational Mixture of Gaussian Process Experts
  1 Dec 2008 · 0 repositories
• Gaussian Process Models for Link Analysis and Transfer Learning
  1 Dec 2007 · 0 repositories
• Robust Regression with Twinned Gaussian Processes
  1 Dec 2007 · 0 repositories