Statistical and Computational Trade-Offs in Kernel K-Means

Neural Information Processing Systems (NeurIPS), 2019

27 August 2019

Daniele Calandriello

Lorenzo Rosasco

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Papers citing "Statistical and Computational Trade-Offs in Kernel K-Means"

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On Generalization Bounds for Projective Clustering

Maria Sofia Bucarelli

Matilde Fjeldso Larsen

Chris Schwiegelshohn

M. Toftrup

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Snacks: a fast large-scale kernel SVM solverEuropean Control Conference (ECC), 2023

161

17 Apr 2023

Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection

248

22 Jul 2022

Collaborative Learning in Kernel-based Bandits for Distributed UsersIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022

289

16 Jul 2022

Learning new physics efficiently with nonparametric methods

341

05 Apr 2022

An Efficient One-Class SVM for Anomaly Detection in the Internet of Things

Kun Yang

Samory Kpotufe

Nick Feamster

164

22 Apr 2021

Kernel k-Means, By All Means: Algorithms and Strong Consistency

Debolina Paul

Saptarshi Chakraborty

Swagatam Das

Jason Xu

220

12 Nov 2020

Kernel methods through the roof: handling billions of points efficiently

493

127

18 Jun 2020

Nearly Optimal Clustering Risk Bounds for Kernel K-Means

Yong Liu

Lizhong Ding

Weiping Wang

365

09 Mar 2020

Gaussian Sketching yields a J-L Lemma in RKHSInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019

Samory Kpotufe

Bharath K. Sriperumbudur

270

16 Aug 2019

Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret

Daniele Calandriello

284

13 Mar 2019