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Optimally-Weighted Herding is Bayesian Quadrature
Conference on Uncertainty in Artificial Intelligence (UAI), 2012
9 August 2014
Ferenc Huszár
David Duvenaud
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Papers citing
"Optimally-Weighted Herding is Bayesian Quadrature"
50 / 55 papers shown
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Sampling-based Nyström Approximation and Kernel Quadrature
International Conference on Machine Learning (ICML), 2023
Satoshi Hayakawa
Harald Oberhauser
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Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
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Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Harald Oberhauser
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403
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Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
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Andreas Krause
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Positively Weighted Kernel Quadrature via Subsampling
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Compressed particle methods for expensive models with application in Astronomy and Remote Sensing
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Optimal quantisation of probability measures using maximum mean discrepancy
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Jackson Gorham
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Chris J. Oates
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Kernel interpolation with continuous volume sampling
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Rémi Bardenet
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Learning Sparse Distributions using Iterative Hard Thresholding
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Jacky Y. Zhang
Rajiv Khanna
Anastasios Kyrillidis
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Geometric Rates of Convergence for Kernel-based Sampling Algorithms
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Liam Hodgkinson
Michael W. Mahoney
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Kernel quadrature with DPPs
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Rémi Bardenet
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Sparse Variational Inference: Bayesian Coresets from Scratch
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Boyan Beronov
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Convergence Guarantees for Adaptive Bayesian Quadrature Methods
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Philipp Hennig
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Fast Approximation and Estimation Bounds of Kernel Quadrature for Infinitely Wide Models
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Zhenghang Cui
Issei Sato
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Bayesian Quadrature for Multiple Related Integrals
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François‐Xavier Briol
Mark Girolami
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On Data-Dependent Random Features for Improved Generalization in Supervised Learning
AAAI Conference on Artificial Intelligence (AAAI), 2017
Shahin Shahrampour
Ahmad Beirami
Vahid Tarokh
177
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Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings
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Bharath K. Sriperumbudur
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On the Sampling Problem for Kernel Quadrature
International Conference on Machine Learning (ICML), 2017
François‐Xavier Briol
Chris J. Oates
Jon Cockayne
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Mark Girolami
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Data-driven Random Fourier Features using Stein Effect
Wei-Cheng Chang
Chun-Liang Li
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240
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Fully symmetric kernel quadrature
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Simo Särkkä
326
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Herding Generalizes Diverse M -Best Solutions
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Gemma Roig
O. Goksel
Xavier Boix
193
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Black-box Importance Sampling
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Uncertain programming model for multi-item solid transportation problem
International Journal of Machine Learning and Cybernetics (IJMLC), 2016
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Monte Carlo with Determinantal Point Processes
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