Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 18

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 18 of 25: papers 1,701 to 1,800 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.

• The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models
  1 May 2020 · 1 repository
• Pedestrian Path, Pose and Intention Prediction through Gaussian Process Dynamical Models and Pedestrian Activity Recognition
  30 Apr 2020 · 0 repositories · arXiv:2004.14747
• Continual Deep Learning by Functional Regularisation of Memorable Past
  29 Apr 2020 · 1 repository · arXiv:2004.14070
• Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage
  23 Apr 2020 · 0 repositories · arXiv:2004.10931
• Consistent Online Gaussian Process Regression Without the Sample Complexity Bottleneck
  23 Apr 2020 · 0 repositories · arXiv:2004.11094
• Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes
  23 Apr 2020 · 1 repository · arXiv:2004.11238
• Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity
  22 Apr 2020 · 0 repositories · arXiv:2004.10586
• Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit
  22 Apr 2020 · 0 repositories · arXiv:2004.10823
• Gaussian Process Learning-based Probabilistic Optimal Power Flow
  16 Apr 2020 · 0 repositories · arXiv:2004.07757
• Machine learning for multiple yield curve markets: fast calibration in the Gaussian affine framework
  16 Apr 2020 · 0 repositories · arXiv:2004.07736
• Safe Multi-Agent Interaction through Robust Control Barrier Functions with Learned Uncertainties
  11 Apr 2020 · 1 repository · arXiv:2004.05273
  Syntology official (archive's flag): 1 ran · 1 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; 1 where Syntology's instrument failed) · 0 unverified (of 1 harvested sample) · 1 pointer-only (licence)
• Direct loss minimization algorithms for sparse Gaussian processes
  7 Apr 2020 · 1 repository · arXiv:2004.03083
• Online Constrained Model-based Reinforcement Learning
  7 Apr 2020 · 0 repositories · arXiv:2004.03499
• Gaussian Process Boosting
  6 Apr 2020 · 1 repository · arXiv:2004.02653
• On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes
  6 Apr 2020 · 0 repositories · arXiv:2004.02382
• How Good are Low-Rank Approximations in Gaussian Process Regression?
  3 Apr 2020 · 3 repositories · arXiv:2004.01584
• Predicting the outputs of finite deep neural networks trained with noisy gradients
  2 Apr 2020 · 0 repositories · arXiv:2004.01190
• Projection Pursuit Gaussian Process Regression
  1 Apr 2020 · 0 repositories · arXiv:2004.00667
• Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data
  30 Mar 2020 · 0 repositories · arXiv:2003.13323
• Closed-loop Parameter Identification of Linear Dynamical Systems through the Lens of Feedback Channel Coding Theory
  27 Mar 2020 · 0 repositories · arXiv:2003.12548
• On Infinite-Width Hypernetworks
  27 Mar 2020 · 1 repository · arXiv:2003.12193
• Predicting molecular dipole moments by combining atomic partial charges and atomic dipoles
  27 Mar 2020 · 1 repository · arXiv:2003.12437
• Preferential Batch Bayesian Optimization
  25 Mar 2020 · 0 repositories · arXiv:2003.11435
• Regret and Belief Complexity Trade-off in Gaussian Process Bandits via Information Thresholding
  23 Mar 2020 · 0 repositories · arXiv:2003.10550
• Analysis of Greenhouse Gases
  21 Mar 2020 · 0 repositories · arXiv:2003.11916
• Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation
  19 Mar 2020 · 0 repositories · arXiv:2003.08579
• Gaze-Sensing LEDs for Head Mounted Displays
  18 Mar 2020 · 0 repositories · arXiv:2003.08499
• Data-driven surrogate modelling and benchmarking for process equipment
  13 Mar 2020 · 0 repositories · arXiv:2003.07701
• The Elliptical Processes: a Family of Fat-tailed Stochastic Processes
  13 Mar 2020 · 0 repositories · arXiv:2003.07201
• GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention
  10 Mar 2020 · 1 repository · arXiv:2003.04575
• Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time
  10 Mar 2020 · 0 repositories · arXiv:2003.04691
• Composition of kernel and acquisition functions for High Dimensional Bayesian Optimization
  9 Mar 2020 · 0 repositories · arXiv:2003.04207
• FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing
  8 Mar 2020 · 0 repositories · arXiv:2003.03697
• Sparse Gaussian Processes Revisited: Bayesian Approaches to Inducing-Variable Approximations
  6 Mar 2020 · 0 repositories · arXiv:2003.03080
• Corruption-Tolerant Gaussian Process Bandit Optimization
  4 Mar 2020 · 0 repositories · arXiv:2003.01971
• Optimally adaptive Bayesian spectral density estimation for stationary and nonstationary processes
  4 Mar 2020 · 0 repositories · arXiv:2003.02367
• Regression via Implicit Models and Optimal Transport Cost Minimization
  3 Mar 2020 · 1 repository · arXiv:2003.01296
• Gaussian Process Policy Optimization
  2 Mar 2020 · 0 repositories · arXiv:2003.01074
• Imbalance Learning for Variable Star Classification
  27 Feb 2020 · 2 repositories · arXiv:2002.12386
  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) · 1 unverified (of 4 harvested samples) · 4 pointer-only (licence)
• Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients
  26 Feb 2020 · 0 repositories · arXiv:2002.11543
• Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
  25 Feb 2020 · 0 repositories · arXiv:2002.10621
• Gaussian Process Regression for Probabilistic Short-term Solar Output Forecast
  23 Feb 2020 · 0 repositories · arXiv:2002.10878
• Generalized Bayesian Filtering via Sequential Monte Carlo
  23 Feb 2020 · 0 repositories · arXiv:2002.09998
• Nonmyopic Gaussian Process Optimization with Macro-Actions
  22 Feb 2020 · 0 repositories · arXiv:2002.09670
• Efficiently Sampling Functions from Gaussian Process Posteriors
  21 Feb 2020 · 5 repositories · arXiv:2002.09309
• Development of modeling and control strategies for an approximated Gaussian process
  12 Feb 2020 · 0 repositories · arXiv:2002.05105
• Ensemble of Sparse Gaussian Process Experts for Implicit Surface Mapping with Streaming Data
  12 Feb 2020 · 0 repositories · arXiv:2002.04911
• Regret Bounds for Noise-Free Kernel-Based Bandits
  12 Feb 2020 · 0 repositories · arXiv:2002.05096
• Gaussian process imputation of multiple financial series
  11 Feb 2020 · 0 repositories · arXiv:2002.05789
• Graph Convolutional Gaussian Processes For Link Prediction
  11 Feb 2020 · 0 repositories · arXiv:2002.04337
• On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
  11 Feb 2020 · 0 repositories · arXiv:2002.04495
• Surrogate Assisted Evolutionary Algorithm for Medium Scale Expensive Multi-Objective Optimisation Problems
  8 Feb 2020 · 0 repositories · arXiv:2002.03150
• Conditional Deep Gaussian Processes: multi-fidelity kernel learning
  7 Feb 2020 · 1 repository · arXiv:2002.02826
• Macroscopic Traffic Flow Modeling with Physics Regularized Gaussian Process: A New Insight into Machine Learning Applications
  6 Feb 2020 · 0 repositories · arXiv:2002.02374
• Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits
  6 Feb 2020 · 2 repositories · arXiv:2002.02518
  Syntology official (archive's flag): 5 ran · 5 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; 2 where Syntology's instrument failed) · 0 unverified (of 5 harvested samples)
• Learning Probabilistic Intersection Traffic Models for Trajectory Prediction
  5 Feb 2020 · 0 repositories · arXiv:2002.01965
• Uncertainty Quantification for Bayesian Optimization
  4 Feb 2020 · 0 repositories · arXiv:2002.01569
• Linearly Constrained Gaussian Processes with Boundary Conditions
  3 Feb 2020 · 0 repositories · arXiv:2002.00818
• A memory of motion for visual predictive control tasks
  31 Jan 2020 · 0 repositories · arXiv:2001.11759
• Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness
  29 Jan 2020 · 0 repositories · arXiv:2001.10818
• Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions
  29 Jan 2020 · 0 repositories · arXiv:2001.10965
• TPLVM: Portfolio Construction by Student's t-process Latent Variable Model
  29 Jan 2020 · 0 repositories · arXiv:2002.06243
• Privacy-Preserving Gaussian Process Regression -- A Modular Approach to the Application of Homomorphic Encryption
  28 Jan 2020 · 0 repositories · arXiv:2001.10893
• Bayesian nonparametric shared multi-sequence time series segmentation
  27 Jan 2020 · 0 repositories · arXiv:2001.09886
• Bayesian optimization for backpropagation in Monte-Carlo tree search
  25 Jan 2020 · 0 repositories · arXiv:2001.09325
• The role of surrogate models in the development of digital twins of dynamic systems
  25 Jan 2020 · 0 repositories · arXiv:2001.09292
• Estimating Latent Demand of Shared Mobility through Censored Gaussian Processes
  21 Jan 2020 · 1 repository · arXiv:2001.07402
• Projection based Active Gaussian Process Regression for Pareto Front Modeling
  20 Jan 2020 · 0 repositories · arXiv:2001.07072
• Scalable Hyperparameter Optimization with Lazy Gaussian Processes
  16 Jan 2020 · 1 repository · arXiv:2001.05726
• Doubly Sparse Variational Gaussian Processes
  15 Jan 2020 · 0 repositories · arXiv:2001.05363
• Robust Gaussian Process Regression with a Bias Model
  14 Jan 2020 · 0 repositories · arXiv:2001.04639
• An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process
  12 Jan 2020 · 0 repositories · arXiv:2001.05862
• Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering
  7 Jan 2020 · 0 repositories · arXiv:2001.01917
• Wide Neural Networks with Bottlenecks are Deep Gaussian Processes
  3 Jan 2020 · 0 repositories · arXiv:2001.00921
• Learning Human Postural Control with Hierarchical Acquisition Functions
  1 Jan 2020 · 0 repositories
• Learning Neural Surrogate Model for Warm-Starting Bayesian Optimization
  1 Jan 2020 · 0 repositories
• Approximate Inference for Fully Bayesian Gaussian Process Regression
  31 Dec 2019 · 1 repository · arXiv:1912.13440
  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)
• Disentangling Trainability and Generalization in Deep Neural Networks
  30 Dec 2019 · 0 repositories · arXiv:1912.13053
• A statistical test for correspondence of texts to the Zipf-Mandelbrot law
  25 Dec 2019 · 0 repositories · arXiv:1912.11600
• Simulation of Turbulent Flow around a Generic High-Speed Train using Hybrid Models of RANS Numerical Method with Machine Learning
  25 Dec 2019 · 0 repositories · arXiv:2001.01569
• On Simulation and Trajectory Prediction with Gaussian Process Dynamics
  23 Dec 2019 · 0 repositories · arXiv:1912.10900
• Tensor Basis Gaussian Process Models of Hyperelastic Materials
  23 Dec 2019 · 0 repositories · arXiv:1912.10872
• Quantile Propagation for Wasserstein-Approximate Gaussian Processes
  21 Dec 2019 · 1 repository · arXiv:1912.10200
• Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems
  19 Dec 2019 · 2 repositories · arXiv:1912.09593
• Heteroscedastic Gaussian Process Regression on the Alkenone over Sea Surface Temperatures
  18 Dec 2019 · 1 repository · arXiv:1912.08843
• Learning Arbitrary Quantities of Interest from Expensive Black-Box Functions through Bayesian Sequential Optimal Design
  16 Dec 2019 · 0 repositories · arXiv:1912.07366
• Active emulation of computer codes with Gaussian processes -- Application to remote sensing
  13 Dec 2019 · 0 repositories · arXiv:1912.06552
• Learning and Optimization with Bayesian Hybrid Models
  12 Dec 2019 · 0 repositories · arXiv:1912.06269
• On the relationship between multitask neural networks and multitask Gaussian Processes
  12 Dec 2019 · 0 repositories · arXiv:1912.05723
• Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax
  11 Dec 2019 · 0 repositories · arXiv:1912.05686
• Tensor Completion via Gaussian Process Based Initialization
  11 Dec 2019 · 0 repositories · arXiv:1912.05179
• Frequentist Consistency of Generalized Variational Inference
  10 Dec 2019 · 0 repositories · arXiv:1912.04946
• Location Trace Privacy Under Conditional Priors
  9 Dec 2019 · 0 repositories · arXiv:1912.04228
• lgpr: An interpretable nonparametric method for inferring covariate effects from longitudinal data
  7 Dec 2019 · 1 repository · arXiv:1912.03549
• Ordinal Bayesian Optimisation
  5 Dec 2019 · 0 repositories · arXiv:1912.02493
• Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
  5 Dec 2019 · 0 repositories · arXiv:1912.02641
• Numerical Gaussian process Kalman filtering
  3 Dec 2019 · 0 repositories · arXiv:1912.01234
• Bayesian Optimization Approach for Analog Circuit Synthesis Using Neural Network
  1 Dec 2019 · 0 repositories · arXiv:1912.00402
• Infra-slow brain dynamics as a marker for cognitive function and decline
  1 Dec 2019 · 0 repositories
• Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes
  1 Dec 2019 · 0 repositories