conftrace_

spectral approximation

15 papers

Explore in graph

Co-occurring keywords

kernel approximation (100) random fourier feature (59) kernel methods (1097) graph coarsening (22) graph sparsification (18) matrix approximation (89) differential privacy (1016) matrix eigenvalue (4) cp decomposition (19) spectrum approximation (2)

Papers

Error Estimation for Random Fourier Features AISTATS 2023
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time ICML 2022
A Framework for Private Matrix Analysis in Sliding Window Model ICML 2021
Scaling Neural Tangent Kernels via Sketching and Random Features NIPS 2021
Analysis of stochastic Lanczos quadrature for spectrum approximation ICML 2021
Near-Optimal Entrywise Sampling of Numerically Sparse Matrices COLT 2021
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing AISTATS 2020
Streaming Coresets for Symmetric Tensor Factorization ICML 2020
Graph Reduction with Spectral and Cut Guarantees JMLR 2019
On Differentially Private Graph Sparsification and Applications NIPS 2019
Spectrally Approximating Large Graphs with Smaller Graphs ICML 2018
Distributed Adaptive Sampling for Kernel Matrix Approximation AISTATS 2017
Multiresolution Kernel Approximation for Gaussian Process Regression NIPS 2017
Orthogonal Random Features NIPS 2016
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs ICML 2015