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Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A theorem on Fourier-Stieltjes integrals
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Boundary neuron method for solving partial differential equations
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AGBoost: Attention-based Modification of Gradient Boosting Machine
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Distance-Metric Learning for Personalized Survival Analysis
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TLFormer: Scalable Taylor Linear Attention in Transformer for Collaborative Filtering
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Uncertainty-Aware Bayesian Machine Learning for Thermo-Kinetic Parameter Estimation from Noisy Temperature Profiles
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An Effective Online Sequential Stochastic Configuration Algorithm for Neural Networks
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Demystifying the Random Feature-Based Online Multi-Kernel Learning
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Demystifying the Random Feature-Based Online Multi-Kernel Learning
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Empirical Study on the Impact of Music Education Aesthetics on College Students' Mental Health From the Perspective of Knowledge and Data
inferred← citeshttps://doi.org/10.48550/arxiv.2006.07310openalex-snapshot
Reservoir Computing meets Recurrent Kernels and Structured Transforms
inferred← citeshttps://doi.org/10.48550/arxiv.2008.08427openalex-snapshot
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
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Kernel regression in high dimensions: Refined analysis beyond double descent
inferred← citeshttps://doi.org/10.48550/arxiv.2106.13066openalex-snapshot
Shallow Representation is Deep: Learning Uncertainty-aware and Worst-case Random Feature Dynamics
inferred← citeshttps://doi.org/10.48550/arxiv.2108.00207openalex-snapshot
The Separation Capacity of Random Neural Networks
inferred← citeshttps://doi.org/10.48550/arxiv.2109.01545openalex-snapshot
Large-Scale Learning with Fourier Features and Tensor Decompositions
inferred← citeshttps://doi.org/10.48550/arxiv.2109.06663openalex-snapshot
An Insect-Inspired Randomly, Weighted Neural Network with Random Fourier Features For Neuro-Symbolic Relational Learning
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On Learning the Transformer Kernel
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Revisiting RIP guarantees for sketching operators on mixture models
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An Online Projection Estimator for Nonparametric Regression in Reproducing Kernel Hilbert Spaces
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