conftrace
_
Papers
Trends
Conferences
Explore
More
Authors
Topics
Keywords
Insights
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Insights
Achievements
Home
›
Keywords
›
kernel matrix
kernel matrix
73 papers
Explore in graph
Co-occurring keywords
kernel methods
(1097)
low-rank approximation
(323)
matrix approximation
(89)
determinantal point process
(140)
kernel learning
(102)
support vector machine
(978)
gaussian process
(1200)
nystrom method
(46)
matrix factorization
(529)
kernel approximation
(100)
Papers
Entrywise error bounds for low-rank approximations of kernel matrices
NIPS 2024
Fast Dynamic Sampling for Determinantal Point Processes
AISTATS 2024
Large-Scale Gaussian Processes via Alternating Projection
AISTATS 2024
Improved Kernel Alignment Regret Bound for Online Kernel Learning
AAAI 2023
Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition
JMLR 2023
Robust and Fast Measure of Information via Low-Rank Representation
AAAI 2023
Randomized Primal-Dual Methods with Adaptive Step Sizes
AISTATS 2023
Kernel similarity matching with Hebbian networks
NIPS 2022
A Perturbation-Based Kernel Approximation Framework
JMLR 2022
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
ICML 2022
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources
ICML 2022
Giga-scale Kernel Matrix-Vector Multiplication on GPU
NIPS 2022
The Fast Kernel Transform
AISTATS 2022
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
ICML 2022
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression
AISTATS 2021
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
ICML 2021
Kernel Operations on the GPU, with Autodiff, without Memory Overflows
JMLR 2021
Faster Kernel Matrix Algebra via Density Estimation
ICML 2021
High-Dimensional Gaussian Process Inference with Derivatives
ICML 2021
A Deep Conditioning Treatment of Neural Networks
ALT 2021
Fast geometric learning with symbolic matrices
NIPS 2020
Linear Time Sinkhorn Divergences using Positive Features
NIPS 2020
Learning Data-adaptive Non-parametric Kernels
JMLR 2020
Sampling from a k-DPP without looking at all items
NIPS 2020
Extractive Financial Narrative Summarisation based on DPPs
COLING 2020
<
1
2
3
>