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nyström method

32 papers

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Co-occurring keywords

kernel methods (1097) nystrom method (46) kernel approximation (100) kernel ridge regression (111) matrix approximation (89) kernel learning (102) nyström approximation (19) kernel k-mean (17) kernel matrix (73) low-rank approximation (323)

Papers

Anchor-Driven Nyström for Deep Graph-Level Clustering AAAI 2026
Bridging the Gap Between Hyperdimensional Computing and Kernel Methods via the Nyström Method AAAI 2025
NLoRA: Nyström-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025
Incremental Nyström-based Multiple Kernel Clustering AAAI 2025
The Nyström method for convex loss functions JMLR 2024
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features NIPS 2024
Nyström Method for Accurate and Scalable Implicit Differentiation AISTATS 2023
Consistency of Multiple Kernel Clustering ICML 2023
Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023
Can Infinitely Wide Deep Nets Help Small-data Multi-label Learning? ACML 2023
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model NIPS 2023
Mean Nyström Embeddings for Adaptive Compressive Learning AISTATS 2022
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means NIPS 2022
Nyström Kernel Mean Embeddings ICML 2022
A Perturbation-Based Kernel Approximation Framework JMLR 2022
Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention AAAI 2021
Distributed Nyström Kernel Learning with Communications ICML 2021
Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression AISTATS 2021
Gain with no Pain: Efficiency of Kernel-PCA by Nyström Sampling AISTATS 2020
Massively scalable Sinkhorn distances via the Nyström method NIPS 2019
Fast Cross-Validation IJCAI 2018
Statistical and Computational Trade-Offs in Kernel K-Means NIPS 2018
Nyström Method with Kernel K-means++ Samples as Landmarks ICML 2017
Error Analysis of Generalized Nyström Kernel Regression NIPS 2016
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions JMLR 2016