Quadrature-based features for kernel approximation
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Oct 30, 2018 - Python
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random-features
Here are 7 public repositories matching this topic...
Multi-Shot Approximation of Discounted Cost MDPs
reinforcement-learning linear-programming reinforcement-learning-algorithms inventory-management value-function kernel-trick approximate-dynamic-programming random-features
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Jul 23, 2024 - Python
Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces" (SIREV SIGEST 2024, SISC 2021)
partial-differential-equations functional-regression infinite-dimensions random-features operator-learning neural-operator fourier-neural-operator
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Aug 8, 2024 - Python
Fast Random Kernelized Features: Support Vector Machine Classification for High-Dimensional IDC Dataset
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Oct 20, 2020 - Python
Codes and experiments for paper "Automated Spectral Kernel Learning". Preprint.
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Feb 19, 2020 - Python
Code for the paper ``Error Bounds for Learning with Vector-Valued Random Features'' (NeurIPS 2023, Spotlight)
partial-differential-equations functional-regression infinite-dimensions random-features operator-learning neural-operator fourier-neural-operator
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Aug 8, 2024 - Python
Reference implementation for our paper "Curiously Effective Features for Image Quality Prediction"
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Aug 17, 2021 - Python
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