NEWMA: a new method for scalable model-free online change-point detection

21 May 2018

Papers citing "NEWMA: a new method for scalable model-free online change-point detection"

11 / 11 papers shown

Title
Optimal Online Change Detection via Random Fourier Features Florian Kalinke Shakeel Gavioli-Akilagun 42 0 0 23 May 2025
Change Detection in Multivariate data streams: Online Analysis with Kernel-QuantTree Michelangelo Olmo Nogara Notarianni Filippo Leveni Diego Stucchi Luca Frittoli Giacomo Boracchi 40 0 0 17 Oct 2024
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection Florian Kalinke Marco Heyden Edouard Fouché Klemens Bohm Klemens Böhm 140 1 0 25 May 2022
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance Jonathan Niles-Weed Francis R. Bach 130 417 0 01 Jul 2017
Fast Two-Sample Testing with Analytic Representations of Probability Measures Kacper P. Chwialkowski Aaditya Ramdas Dino Sejdinovic Arthur Gretton 47 154 0 15 Jun 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 93 844 0 10 Feb 2015
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 68 442 0 13 Aug 2014
Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation Song Liu M. Yamada Nigel Collier Masashi Sugiyama 50 445 0 02 Mar 2012
State-of-the-Art in Sequential Change-Point Detection Aleksey S. Polunchenko A. Tartakovsky AI4TS 48 140 0 13 Sep 2011
Hilbert space embeddings and metrics on probability measures Bharath K. Sriperumbudur Arthur Gretton Kenji Fukumizu Bernhard Schölkopf Gert R. G. Lanckriet 154 741 0 30 Jul 2009
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 169 2,352 0 15 May 2008