Learning with Asymmetric Kernels: Least Squares and Feature
Interpretation

Learning with Asymmetric Kernels: Least Squares and Feature Interpretation

3 February 2022

Xiaolin Huang

Johan A. K. Suykens

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Papers citing "Learning with Asymmetric Kernels: Least Squares and Feature Interpretation"

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Title
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method Qinghua Tao F. Tonin Alex Lambert Yingyi Chen Panagiotis Patrinos Johan A. K. Suykens 89 2 0 13 Jun 2024
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 100 175 0 23 Apr 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 95 840 0 20 Jan 2020
On Reproducing Kernel Banach Spaces: Generic Definitions and Unified Framework of Constructions Rongrong Lin Haizhang Zhang Jun Zhang 44 37 0 04 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 606 10,590 0 12 Dec 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 168 1,365 0 14 Nov 2018
Node Representation Learning for Directed Graphs Megha Khosla Jurek Leonhardt Wolfgang Nejdl Avishek Anand 50 56 0 22 Oct 2018
Asymmetric kernel in Gaussian Processes for learning target variance S. Pintea Jan van Gemert A. Smeulders 24 6 0 19 Mar 2018
Learning Granger Causality for Hawkes Processes Hongteng Xu Mehrdad Farajtabar H. Zha AI4TS CML 58 227 0 14 Feb 2016
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 145 1,123 0 02 Jul 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 455 16,923 0 20 Dec 2013