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Improved Convergence Rates for Sparse Approximation Methods in
  Kernel-Based Learning

Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning

8 February 2022
Sattar Vakili
Jonathan Scarlett
Da-shan Shiu
A. Bernacchia
ArXivPDFHTML

Papers citing "Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning"

5 / 5 papers shown
Title
Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning
Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning
Michail Kalntis
Georgios Iosifidis
Fernando A. Kuipers
29
5
0
31 Dec 2024
Sample Complexity of Kernel-Based Q-Learning
Sample Complexity of Kernel-Based Q-Learning
Sing-Yuan Yeh
Fu-Chieh Chang
Chang-Wei Yueh
Pei-Yuan Wu
A. Bernacchia
Sattar Vakili
OffRL
18
4
0
01 Feb 2023
Uncertainty quantification for sparse spectral variational
  approximations in Gaussian process regression
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression
D. Nieman
Botond Szabó
Harry Van Zanten
23
5
0
21 Dec 2022
Gaussian Process Bandit Optimization with Few Batches
Gaussian Process Bandit Optimization with Few Batches
Zihan Li
Jonathan Scarlett
GP
123
47
0
15 Oct 2021
Contraction rates for sparse variational approximations in Gaussian
  process regression
Contraction rates for sparse variational approximations in Gaussian process regression
D. Nieman
Botond Szabó
Harry Van Zanten
41
17
0
22 Sep 2021
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