Sampling-based Nyström Approximation and Kernel Quadrature

23 January 2023

Papers citing "Sampling-based Nyström Approximation and Kernel Quadrature"

11 / 11 papers shown

Title
Nested Expectations with Kernel Quadrature Zonghao Chen Masha Naslidnyk F. Briol 26 0 0 25 Feb 2025
Conditional Bayesian Quadrature Zonghao Chen Masha Naslidnyk A. Gretton F. Briol TPM 33 3 0 24 Jun 2024
A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting Masaki Adachi Satoshi Hayakawa Martin Jørgensen Saad Hamid Harald Oberhauser Michael A. Osborne GP 19 3 0 18 Apr 2024
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder E. De Vito Lorenzo Rosasco 11 3 0 22 Nov 2023
Policy Gradient with Kernel Quadrature Satoshi Hayakawa Tetsuro Morimura OffRL BDL 10 0 0 23 Oct 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach Masaki Adachi Satoshi Hayakawa Martin Jørgensen Xingchen Wan Vu Nguyen Harald Oberhauser Michael A. Osborne 12 4 0 09 Jun 2023
Kernel quadrature with randomly pivoted Cholesky Ethan N. Epperly Elvira Moreno 11 8 0 06 Jun 2023
When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality Jose H. Blanchet Haoxuan Chen Yiping Lu Lexing Ying 22 3 0 25 May 2023
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding Tongzheng Ren Zhaolin Ren Haitong Ma Na Li Bo Dai 12 10 0 08 Apr 2023
SOBER: Highly Parallel Bayesian Optimization and Bayesian Quadrature over Discrete and Mixed Spaces Masaki Adachi Satoshi Hayakawa Saad Hamid Martin Jørgensen Harald Oberhauser M. A. Osborne 8 7 0 27 Jan 2023
Generalized Kernel Thinning Raaz Dwivedi Lester W. Mackey 29 29 0 04 Oct 2021