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Revisiting the Sample Complexity of Sparse Spectrum Approximation of
  Gaussian Processes

Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes

Neural Information Processing Systems (NeurIPS), 2020
17 November 2020
Q. Hoang
T. Hoang
Hai Pham
David P. Woodruff
ArXiv (abs)PDFHTML

Papers citing "Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes"

3 / 3 papers shown
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
ROOT: Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge
Manh Cuong Dao
Hung Tran
Phi Le Nguyen
Thao Nguyen Truong
Trong Nghia Hoang
OffRL
253
1
0
19 Sep 2025
Learning Personalized Item-to-Item Recommendation Metric via Implicit
  Feedback
Learning Personalized Item-to-Item Recommendation Metric via Implicit FeedbackInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
T. Hoang
Hao Ding
Tong Zhao
Jin Li
George Karypis
FedML
259
5
0
18 Mar 2022
How Good are Low-Rank Approximations in Gaussian Process Regression?
How Good are Low-Rank Approximations in Gaussian Process Regression?AAAI Conference on Artificial Intelligence (AAAI), 2020
C. Daskalakis
P. Dellaportas
A. Panos
629
5
0
03 Apr 2020
1
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