Methods › General › Non-Parametric Regression › Gaussian Process › Papers, page 14
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 14 of 25: papers 1,301 to 1,400 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.
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Gaussian Process-based Model Predictive Controller for Connected Vehicles with Uncertain Wireless Channel 23 Jun 2021 · 0 repositories · arXiv:2106.12366
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Machine Learning based optimization for interval uncertainty propagation 21 Jun 2021 · 0 repositories · arXiv:2106.11215
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Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data 20 Jun 2021 · 1 repository · arXiv:2106.10610
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Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization 16 Jun 2021 · 0 repositories · arXiv:2106.08598
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Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery 15 Jun 2021 · 0 repositories · arXiv:2106.08146
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Kernel Identification Through Transformers 15 Jun 2021 · 1 repository · arXiv:2106.08185Syntology official (archive's flag): 4 ran · 4 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (of 4 harvested samples) · 4 pointer-only (licence)
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Last Layer Marginal Likelihood for Invariance Learning 14 Jun 2021 · 1 repository · arXiv:2106.07512
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Marginalising over Stationary Kernels with Bayesian Quadrature 14 Jun 2021 · 1 repository · arXiv:2106.07452
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Pointwise Feasibility of Gaussian Process-based Safety-Critical Control under Model Uncertainty 13 Jun 2021 · 0 repositories · arXiv:2106.07108
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Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning 12 Jun 2021 · 0 repositories · arXiv:2106.06796
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Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization 11 Jun 2021 · 0 repositories · arXiv:2106.06478
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Neuroadaptive electroencephalography: a proof-of-principle study in infants 10 Jun 2021 · 1 repository · arXiv:2106.06029
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Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition 10 Jun 2021 · 2 repositories · arXiv:2106.05992
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GP-ConvCNP: Better Generalization for Convolutional Conditional Neural Processes on Time Series Data 9 Jun 2021 · 1 repository · arXiv:2106.04967Syntology official (archive's flag): 3 ran · 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)
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A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs 8 Jun 2021 · 0 repositories · arXiv:2106.04110
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Multi-output Gaussian Processes for Uncertainty-aware Recommender Systems 8 Jun 2021 · 1 repository · arXiv:2106.04221
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High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning 7 Jun 2021 · 2 repositories · arXiv:2106.03609
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Product Processing for Tapered Sparse Arrays 7 Jun 2021 · 0 repositories · arXiv:2106.03653
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Active learning for structural reliability: survey, general framework and benchmark 3 Jun 2021 · 0 repositories · arXiv:2106.01713
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Efficient methods for Gaussian Markov random fields under sparse linear constraints 3 Jun 2021 · 1 repository · arXiv:2106.01712
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Gaussian Processes on Hypergraphs 3 Jun 2021 · 0 repositories · arXiv:2106.01982
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Solving Schrödinger Bridges via Maximum Likelihood 3 Jun 2021 · 1 repository · arXiv:2106.02081Syntology 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, 1 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 7 harvested samples) · 5 pointer-only (licence)
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Concurrent Learning Based Tracking Control of Nonlinear Systems using Gaussian Process 2 Jun 2021 · 0 repositories · arXiv:2106.00910
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Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network 1 Jun 2021 · 0 repositories · arXiv:2106.00719
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Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning 1 Jun 2021 · 1 repository · arXiv:2106.00638
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Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators 1 Jun 2021 · 1 repository · arXiv:2106.00694
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Empirical Models for Multidimensional Regression of Fission Systems 30 May 2021 · 1 repository · arXiv:2105.14645
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Periodic-GP: Learning Periodic World with Gaussian Process Bandits 30 May 2021 · 0 repositories · arXiv:2105.14422
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A generalization of the randomized singular value decomposition 27 May 2021 · 0 repositories · arXiv:2105.13052
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MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics 27 May 2021 · 0 repositories · arXiv:2105.12894
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Deep Kernel Gaussian Process Based Financial Market Predictions 26 May 2021 · 0 repositories · arXiv:2105.12293
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Adaptive Local Kernels Formulation of Mutual Information with Application to Active Post-Seismic Building Damage Inference 24 May 2021 · 0 repositories · arXiv:2105.11492
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Entropy-based adaptive design for contour finding and estimating reliability 24 May 2021 · 0 repositories · arXiv:2105.11357
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Scalable Cross Validation Losses for Gaussian Process Models 24 May 2021 · 0 repositories · arXiv:2105.11535
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Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains 23 May 2021 · 1 repository · arXiv:2106.01309
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Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation 21 May 2021 · 1 repository
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Nonlinear Hawkes Process with Gaussian Process Self Effects 20 May 2021 · 0 repositories · arXiv:2105.09618
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Latent Gaussian Model Boosting 19 May 2021 · 1 repository · arXiv:2105.08966
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Partitioned Active Learning for Heterogeneous Systems 14 May 2021 · 0 repositories · arXiv:2105.08547
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Multilevel Monte Carlo simulation for VIX options in the rough Bergomi model 11 May 2021 · 0 repositories · arXiv:2105.05356
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Lightweight Distributed Gaussian Process Regression for Online Machine Learning 11 May 2021 · 0 repositories · arXiv:2105.04738
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Bayesian Optimistic Optimisation with Exponentially Decaying Regret 10 May 2021 · 0 repositories · arXiv:2105.04332
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Deep Neural Networks as Point Estimates for Deep Gaussian Processes 10 May 2021 · 0 repositories · arXiv:2105.04504
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Grey-box models for wave loading prediction 10 May 2021 · 0 repositories · arXiv:2105.13813
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The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification 9 May 2021 · 0 repositories · arXiv:2105.03841
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Geometric convergence of elliptical slice sampling 7 May 2021 · 0 repositories · arXiv:2105.03308
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Learning-enhanced robust controller synthesis with rigorous statistical and control-theoretic guarantees 7 May 2021 · 0 repositories · arXiv:2105.03397
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Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks 7 May 2021 · 0 repositories · arXiv:2105.04554
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Cylindrical Battery Fault Detection under Extreme Fast Charging: A Physics-based Learning Approach 5 May 2021 · 0 repositories · arXiv:2105.02169
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Numerical Gaussian process Kalman filtering for spatiotemporal systems 5 May 2021 · 0 repositories · arXiv:2105.02079
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Learning-based feedforward augmentation for steady state rejection of residual dynamics on a nanometer-accurate planar actuator system 4 May 2021 · 0 repositories · arXiv:2105.01458
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How Bayesian Should Bayesian Optimisation Be? 3 May 2021 · 1 repository · arXiv:2105.00894
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Online and Adaptive Parking Availability Mapping: An Uncertainty-Aware Active Sensing Approach for Connected Vehicles 1 May 2021 · 0 repositories · arXiv:2105.00246
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Continuous black-box optimization with quantum annealing and random subspace coding 30 Apr 2021 · 0 repositories · arXiv:2104.14778
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Defined the predictors of the lightning over India by using artificial neural network 28 Apr 2021 · 0 repositories · arXiv:2104.13958
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Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models 26 Apr 2021 · 0 repositories · arXiv:2104.12854
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Active and sparse methods in smoothed model checking 20 Apr 2021 · 0 repositories · arXiv:2104.09940
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Mixtures of Gaussian Processes for regression under multiple prior distributions 19 Apr 2021 · 0 repositories · arXiv:2104.09185
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Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions 16 Apr 2021 · 0 repositories · arXiv:2104.08134
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Sequential Deconfounding for Causal Inference with Unobserved Confounders 16 Apr 2021 · 1 repository · arXiv:2104.09323
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Piecewise-linear modelling with feature selection for Li-ion battery end of life prognosis 15 Apr 2021 · 0 repositories · arXiv:2104.07576
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Five Degree-of-Freedom Property Interpolation of Arbitrary Grain Boundaries via Voronoi Fundamental Zone Octonion Framework 14 Apr 2021 · 1 repository · arXiv:2104.06575
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Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach 14 Apr 2021 · 1 repository · arXiv:2104.09327Syntology official (archive's flag): 4 ran · 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) · 0 unverified (of 4 harvested samples)
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Gaussian Process Model for Estimating Piecewise Continuous Regression Functions 13 Apr 2021 · 0 repositories · arXiv:2104.06487
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Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC 8 Apr 2021 · 0 repositories · arXiv:2104.03942
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Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations 8 Apr 2021 · 0 repositories · arXiv:2104.03743
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Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods 7 Apr 2021 · 0 repositories · arXiv:2104.03384
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A robust extended Kalman filter for power system dynamic state estimation using PMU measurements 5 Apr 2021 · 0 repositories · arXiv:2104.02045
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Strategy Synthesis for Partially-known Switched Stochastic Systems 5 Apr 2021 · 0 repositories · arXiv:2104.02172
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Neural Process for Black-Box Model Optimization Under Bayesian Framework 3 Apr 2021 · 0 repositories · arXiv:2104.02487
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Few-Data Guided Learning Upon End-to-End Point Cloud Network for 3D Face Recognition 31 Mar 2021 · 0 repositories · arXiv:2103.16927
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Deep Gaussian Processes for Few-Shot Segmentation 30 Mar 2021 · 0 repositories · arXiv:2103.16549
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Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning 30 Mar 2021 · 0 repositories · arXiv:2105.02813
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Scalable Statistical Inference of Photometric Redshift via Data Subsampling 30 Mar 2021 · 0 repositories · arXiv:2103.16041
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Distributed Learning Consensus Control for Unknown Nonlinear Multi-Agent Systems based on Gaussian Processes 29 Mar 2021 · 0 repositories · arXiv:2103.15929
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A Temporal Kernel Approach for Deep Learning with Continuous-time Information 28 Mar 2021 · 2 repositories · arXiv:2103.15213
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Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization 25 Mar 2021 · 0 repositories · arXiv:2103.13881
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FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning 24 Mar 2021 · 0 repositories · arXiv:2103.13822
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Solving and Learning Nonlinear PDEs with Gaussian Processes 24 Mar 2021 · 2 repositories · arXiv:2103.12959Syntology 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)
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Epidemics from the Eye of the Pathogen 23 Mar 2021 · 0 repositories · arXiv:2103.12848
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Raven's Progressive Matrices Completion with Latent Gaussian Process Priors 22 Mar 2021 · 2 repositories · arXiv:2103.12045
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Detecting Label Noise via Leave-One-Out Cross-Validation 21 Mar 2021 · 0 repositories · arXiv:2103.11352
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Machine-Learning Classification of Closed and Open Radiating Wires from Near Magnetic or Electric Field Scan Images 16 Mar 2021 · 0 repositories · arXiv:2104.09277
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Representation Theorem for Matrix Product States 15 Mar 2021 · 0 repositories · arXiv:2103.08277
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Controlled Gaussian Process Dynamical Models with Application to Robotic Cloth Manipulation 11 Mar 2021 · 1 repository · arXiv:2103.06615
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Data-driven method for real-time prediction and uncertainty quantification of fatigue failure under stochastic loading using artificial neural networks and Gaussian process regression 11 Mar 2021 · 0 repositories · arXiv:2103.08349
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Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control 8 Mar 2021 · 1 repository · arXiv:2103.04548
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Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data 4 Mar 2021 · 1 repository · arXiv:2103.03385
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Small Sample Spaces for Gaussian Processes 4 Mar 2021 · 0 repositories · arXiv:2103.03169
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Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective 3 Mar 2021 · 0 repositories · arXiv:2103.03113
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Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization 2 Mar 2021 · 1 repository · arXiv:2103.01575
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Moment-Based Variational Inference for Stochastic Differential Equations 1 Mar 2021 · 0 repositories · arXiv:2103.00988
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High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces 27 Feb 2021 · 2 repositories · arXiv:2103.00349Syntology official (archive's flag): 2 ran · 2 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; 2 where Syntology's instrument failed) · 1 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification 25 Feb 2021 · 0 repositories · arXiv:2103.05109
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No-Regret Algorithms for Private Gaussian Process Bandit Optimization 24 Feb 2021 · 0 repositories · arXiv:2102.12467
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The Promises and Pitfalls of Deep Kernel Learning 24 Feb 2021 · 0 repositories · arXiv:2102.12108
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Location Trace Privacy Under Conditional Priors 23 Feb 2021 · 1 repository · arXiv:2102.11955
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A bi-atrial statistical shape model for large-scale in silico studies of human atria: model development and application to ECG simulations 22 Feb 2021 · 0 repositories · arXiv:2102.10838
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Gaussian Process Nowcasting: Application to COVID-19 Mortality Reporting 22 Feb 2021 · 1 repository · arXiv:2102.11249Syntology official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (of 3 harvested samples) · 3 pointer-only (licence)
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Large-width functional asymptotics for deep Gaussian neural networks 20 Feb 2021 · 0 repositories · arXiv:2102.10307