Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 20

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 20 of 25: papers 1,901 to 2,000 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.

• Bayesian Optimisation over Multiple Continuous and Categorical Inputs
  20 Jun 2019 · 2 repositories · arXiv:1906.08878
  Syntology official (archive's flag): 7 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)
• Tomographic Reconstruction of Triaxial Strain Fields from Bragg-Edge Neutron Imaging
  20 Jun 2019 · 1 repository · arXiv:1906.08506
• Bayesian inverse regression for dimension reduction with small datasets
  19 Jun 2019 · 0 repositories · arXiv:1906.08018
• Multi-resolution Multi-task Gaussian Processes
  19 Jun 2019 · 1 repository · arXiv:1906.08344
• Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  19 Jun 2019 · 1 repository · arXiv:1906.08215
  Syntology official (archive's flag): 5 ran · 5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (of 6 harvested samples)
• Bayesian Optimization with Binary Auxiliary Information
  17 Jun 2019 · 0 repositories · arXiv:1906.07277
• Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
  13 Jun 2019 · 1 repository · arXiv:1906.05828
• Robust Regression for Safe Exploration in Control
  13 Jun 2019 · 0 repositories · arXiv:1906.05819
• Learning Curves for Deep Neural Networks: A Gaussian Field Theory Perspective
  12 Jun 2019 · 0 repositories · arXiv:1906.05301
• Towards Inverse Reinforcement Learning for Limit Order Book Dynamics
  11 Jun 2019 · 0 repositories · arXiv:1906.04813
• Errors-in-variables Modeling of Personalized Treatment-Response Trajectories
  10 Jun 2019 · 1 repository · arXiv:1906.03989
• A Variant of Gaussian Process Dynamical Systems
  9 Jun 2019 · 0 repositories · arXiv:1906.03647
• Region of Attraction for Power Systems using Gaussian Process and Converse Lyapunov Function -- Part I: Theoretical Framework and Off-line Study
  9 Jun 2019 · 1 repository · arXiv:1906.03590
• Structured Variational Inference in Continuous Cox Process Models
  7 Jun 2019 · 1 repository · arXiv:1906.03161
  Syntology 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• A General 𝒪(n²) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM
  6 Jun 2019 · 0 repositories · arXiv:1906.02387
• Bayesian Optimization of Composite Functions
  4 Jun 2019 · 1 repository · arXiv:1906.01537
• Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
  4 Jun 2019 · 0 repositories · arXiv:1906.01376
• Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel
  3 Jun 2019 · 2 repositories · arXiv:1906.00588
  Syntology official: not harvested · 0 ran · 1 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Resolving Overlapping Convex Objects in Silhouette Images by Concavity Analysis and Gaussian Process
  3 Jun 2019 · 0 repositories · arXiv:1906.01049
• Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement
  3 Jun 2019 · 0 repositories · arXiv:1906.01095
• Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
  1 Jun 2019 · 0 repositories · arXiv:1906.00226
• Neural Likelihoods for Multi-Output Gaussian Processes
  31 May 2019 · 0 repositories · arXiv:1905.13697
• Enriched Mixtures of Gaussian Process Experts
  30 May 2019 · 0 repositories · arXiv:1905.12969
• Efficient EM-Variational Inference for Hawkes Process
  29 May 2019 · 0 repositories · arXiv:1905.12251
• Recursive Estimation for Sparse Gaussian Process Regression
  28 May 2019 · 1 repository · arXiv:1905.11711
• Adversarial Robustness Guarantees for Classification with Gaussian Processes
  28 May 2019 · 1 repository · arXiv:1905.11876
• Scalable Training of Inference Networks for Gaussian-Process Models
  27 May 2019 · 2 repositories · arXiv:1905.10969
• A Bulirsch-Stoer algorithm using Gaussian processes
  23 May 2019 · 0 repositories · arXiv:1905.09892
• Learning spectrograms with convolutional spectral kernels
  23 May 2019 · 0 repositories · arXiv:1905.09917
• Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation
  23 May 2019 · 3 repositories · arXiv:1905.09670
• Gaussian Process Learning via Fisher Scoring of Vecchia's Approximation
  20 May 2019 · 0 repositories · arXiv:1905.08374
• Practical Bayesian Optimization with Threshold-Guided Marginal Likelihood Maximization
  18 May 2019 · 1 repository · arXiv:1905.07540
• The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
  16 May 2019 · 1 repository · arXiv:1905.06501
• Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions
  15 May 2019 · 1 repository · arXiv:1905.06076
  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) · 3 unverified (of 9 harvested samples)
• Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes
  15 May 2019 · 0 repositories · arXiv:1905.06744
• Online Anomaly Detection with Sparse Gaussian Processes
  14 May 2019 · 0 repositories · arXiv:1905.05761
• Adaptive surrogate models for parametric studies
  12 May 2019 · 0 repositories · arXiv:1905.05345
• Building 3D Object Models during Manipulation by Reconstruction-Aware Trajectory Optimization
  10 May 2019 · 0 repositories · arXiv:1905.03907
• Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models
  9 May 2019 · 1 repository · arXiv:1905.03406
• A deep learning approach for analyzing the composition of chemometric data
  7 May 2019 · 0 repositories · arXiv:1905.03420
• Knowing The What But Not The Where in Bayesian Optimization
  7 May 2019 · 1 repository · arXiv:1905.02685
  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, 1 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 4 harvested samples) · 1 pointer-only (licence)
• Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluations
  3 May 2019 · 1 repository · arXiv:1905.01252
• Modular Deep Probabilistic Programming
  1 May 2019 · 1 repository
• A data-efficient geometrically inspired polynomial kernel for robot inverse dynamics
  30 Apr 2019 · 0 repositories · arXiv:1904.13317
• Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms
  26 Apr 2019 · 0 repositories · arXiv:1904.12672
• Bayesian Search for Robust Optima
  25 Apr 2019 · 0 repositories · arXiv:1904.11416
• Gaussian Process Regression and Classification under Mathematical Constraints with Learning Guarantees
  21 Apr 2019 · 0 repositories · arXiv:1904.09632
• Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes
  19 Apr 2019 · 0 repositories · arXiv:1904.09370
• A Bayesian Perspective on the Deep Image Prior
  16 Apr 2019 · 1 repository · arXiv:1904.07457
• Multi-View Stereo by Temporal Nonparametric Fusion
  12 Apr 2019 · 1 repository · arXiv:1904.06397
  Syntology 7 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; 1 where Syntology's instrument failed) · 1 unverified (of 8 harvested samples) · 1 pointer-only (licence)
• Scalarizing Functions in Bayesian Multiobjective Optimization
  11 Apr 2019 · 0 repositories · arXiv:1904.05760
• Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms
  8 Apr 2019 · 0 repositories
• Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources
  5 Apr 2019 · 1 repository · arXiv:1904.03063
• Intent-Aware Probabilistic Trajectory Estimation for Collision Prediction with Uncertainty Quantification
  4 Apr 2019 · 0 repositories · arXiv:1904.02765
• Sentiment analysis with genetically evolved Gaussian kernels
  1 Apr 2019 · 0 repositories · arXiv:1904.00977
• A Gaussian process latent force model for joint input-state estimation in linear structural systems
  29 Mar 2019 · 0 repositories · arXiv:1904.00093
• MCTS-based Automated Negotiation Agent (Extended Abstract)
  29 Mar 2019 · 0 repositories · arXiv:1903.12411
• Using Gaussian process regression for efficient parameter reconstruction
  28 Mar 2019 · 0 repositories · arXiv:1903.12128
• Pixelation is NOT Done in Videos Yet
  26 Mar 2019 · 0 repositories · arXiv:1903.10836
• Learning Personalized Thermal Preferences via Bayesian Active Learning with Unimodality Constraints
  21 Mar 2019 · 0 repositories · arXiv:1903.09094
• Deep Gaussian Processes for Multi-fidelity Modeling
  18 Mar 2019 · 1 repository · arXiv:1903.07320
• Financial Applications of Gaussian Processes and Bayesian Optimization
  12 Mar 2019 · 0 repositories · arXiv:1903.04841
• Scalable Grouped Gaussian Processes via Direct Cholesky Functional Representations
  10 Mar 2019 · 0 repositories · arXiv:1903.03986
• Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data
  9 Mar 2019 · 0 repositories · arXiv:1903.03871
• Rates of Convergence for Sparse Variational Gaussian Process Regression
  8 Mar 2019 · 1 repository · arXiv:1903.03571
  Syntology 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (of 2 harvested samples) · 2 pointer-only (licence)
• Safety-Guided Deep Reinforcement Learning via Online Gaussian Process Estimation
  6 Mar 2019 · 0 repositories · arXiv:1903.02526
• Supervised ML Solution for Band Assignment in Dual-Band Systems with Omnidirectional and Directional Antennas
  28 Feb 2019 · 0 repositories · arXiv:1902.10890
• Local Function Complexity for Active Learning via Mixture of Gaussian Processes
  27 Feb 2019 · 0 repositories · arXiv:1902.10664
• Active learning via informed search in movement parameter space for efficient robot task learning and transfer
  21 Feb 2019 · 1 repository
• Bayesian optimisation under uncertain inputs
  21 Feb 2019 · 0 repositories · arXiv:1902.07908
• Stable Bayesian Optimisation via Direct Stability Quantification
  21 Feb 2019 · 0 repositories · arXiv:1902.07846
• Gaussian Process Priors for Dynamic Paired Comparison Modelling
  20 Feb 2019 · 1 repository · arXiv:1902.07378
• Multifidelity Bayesian Optimization for Binomial Output
  19 Feb 2019 · 0 repositories · arXiv:1902.06937
• The Kalai-Smorodinski solution for many-objective Bayesian optimization
  18 Feb 2019 · 0 repositories · arXiv:1902.06565
• Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent
  18 Feb 2019 · 1 repository · arXiv:1902.06720
• Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation
  13 Feb 2019 · 0 repositories · arXiv:1902.04760
• Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification
  13 Feb 2019 · 0 repositories · arXiv:1902.04763
• Learning interpretable continuous-time models of latent stochastic dynamical systems
  12 Feb 2019 · 0 repositories · arXiv:1902.04420
• Multi-objective Bayesian optimisation with preferences over objectives
  12 Feb 2019 · 0 repositories · arXiv:1902.04228
• Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization
  11 Feb 2019 · 0 repositories · arXiv:1902.03740
• Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
  5 Feb 2019 · 2 repositories · arXiv:1902.01659
• Combinatorial Bayesian Optimization using the Graph Cartesian Product
  1 Feb 2019 · 1 repository · arXiv:1902.00448
• End-to-End Probabilistic Inference for Nonstationary Audio Analysis
  31 Jan 2019 · 1 repository · arXiv:1901.11436
• Functional Regularisation for Continual Learning with Gaussian Processes
  31 Jan 2019 · 1 repository · arXiv:1901.11356
  Syntology 3 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; 3 where Syntology's instrument failed) · 0 unverified (of 3 harvested samples) · 3 pointer-only (licence)
• Geometric fluid approximation for general continuous-time Markov chains
  31 Jan 2019 · 0 repositories · arXiv:1901.11417
• Minimizing Negative Transfer of Knowledge in Multivariate Gaussian Processes: A Scalable and Regularized Approach
  31 Jan 2019 · 0 repositories · arXiv:1901.11512
• On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis
  28 Jan 2019 · 0 repositories · arXiv:1901.09541
• Meta-Learning Mean Functions for Gaussian Processes
  23 Jan 2019 · 0 repositories · arXiv:1901.08098
• Active Learning with Gaussian Processes for High Throughput Phenotyping
  21 Jan 2019 · 1 repository · arXiv:1901.06803
• Gaussian processes with linear operator inequality constraints
  10 Jan 2019 · 2 repositories · arXiv:1901.03134
  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)
• No-Regret Bayesian Optimization with Unknown Hyperparameters
  10 Jan 2019 · 0 repositories · arXiv:1901.03357
• Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models
  8 Jan 2019 · 0 repositories · arXiv:1901.02427
• Variational bridge constructs for approximate Gaussian process regression
  7 Jan 2019 · 0 repositories · arXiv:1901.01727
• Forecasting residential gas demand: machine learning approaches and seasonal role of temperature forecasts
  4 Jan 2019 · 0 repositories · arXiv:1901.02719
• Approximate Inference for Multiplicative Latent Force Models
  31 Dec 2018 · 0 repositories · arXiv:1812.11755
• ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
  21 Dec 2018 · 1 repository · arXiv:1812.08934
• GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language
  21 Dec 2018 · 3 repositories · arXiv:1812.09064
• Towards an Evolvable Cancer Treatment Simulator
  19 Dec 2018 · 0 repositories · arXiv:1812.08252
• Linking Gaussian Process regression with data-driven manifold embeddings for nonlinear data fusion
  16 Dec 2018 · 0 repositories · arXiv:1812.06467
• Efficient Model-Free Reinforcement Learning Using Gaussian Process
  11 Dec 2018 · 0 repositories · arXiv:1812.04359