conftrace_

random fourier feature

59 papers

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Also known as

RFF

Co-occurring keywords

kernel methods (1097) kernel approximation (100) gaussian process (1200) kernel ridge regression (111) gaussian kernel (60) reproducing kernel hilbert space (334) variational inference (2069) spectral approximation (15) online gradient descent (39) approximation theory (77)

Papers

Enhancing Kernel Power $K$-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method AAAI 2026
Unveiling Differences in Generative Models: A Scalable Differential Clustering Approach CVPR 2025
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024
Gaussian Process Neural Additive Models AAAI 2024
Towards a Scalable Reference-Free Evaluation of Generative Models NIPS 2024
Revisiting RIP Guarantees for Sketching Operators on Mixture Models JMLR 2024
On the Size and Approximation Error of Distilled Datasets NIPS 2023
Fast Private Kernel Density Estimation via Locality Sensitive Quantization ICML 2023
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization NIPS 2023
Efficient Non-parametric Neural Density Estimation and Its Application to Outlier and Anomaly Detection AAAI 2023
Error Estimation for Random Fourier Features AISTATS 2023
Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory ACML 2023
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning NIPS 2022
Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective COLING 2022
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects NIPS 2022
TRF: Learning Kernels with Tuned Random Features AAAI 2022
Nonparametric adaptive control and prediction: theory and randomized algorithms JMLR 2022
Sharp Analysis of Random Fourier Features in Classification AAAI 2022
Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022
Gauss-Legendre Features for Gaussian Process Regression JMLR 2022
SignRFF: Sign Random Fourier Features NIPS 2022
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling ICML 2022
Quantization Algorithms for Random Fourier Features ICML 2021
Towards a Unified Analysis of Random Fourier Features JMLR 2021
Large-Scale Learning with Fourier Features and Tensor Decompositions NIPS 2021