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2002.06633
Cited By
Seeded Binary Segmentation: A general methodology for fast and optimal change point detection
Biometrika (Biometrika), 2020
16 February 2020
Solt Kovács
Housen Li
Peter Buhlmann
Axel Munk
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Papers citing
"Seeded Binary Segmentation: A general methodology for fast and optimal change point detection"
27 / 27 papers shown
Adaptive Testing for Segmenting Watermarked Texts From Language Models
Xingchi Li
Xiaochi Liu
Guanxun Li
WaLM
457
1
0
10 Nov 2025
Segmenting Watermarked Texts From Language Models
Neural Information Processing Systems (NeurIPS), 2024
Xingchi Li
Guanxun Li
Xianyang Zhang
WaLM
237
3
0
28 Oct 2024
Finite Sample Complexity Analysis of Binary Segmentation
Toby Dylan Hocking
221
0
0
11 Oct 2024
Causal Discovery-Driven Change Point Detection in Time Series
Shanyun Gao
Raghavendra Addanki
Tong Yu
Ryan Rossi
Murat Kocaoglu
AI4TS
347
2
0
10 Jul 2024
Multiscale Quantile Regression with Local Error Control
Zhi Liu
Housen Li
281
1
0
17 Mar 2024
Multiple change point detection in functional data with applications to biomechanical fatigue data
Patrick Bastian
Rupsa Basu
Holger Dette
405
9
0
18 Dec 2023
Fast and Optimal Inference for Change Points in Piecewise Polynomials via Differencing
Electronic Journal of Statistics (EJS), 2023
Shakeel Gavioli-Akilagun
Piotr Fryzlewicz
217
2
0
07 Jul 2023
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
Chengde Qian
Guanghui Wang
Changliang Zou
296
1
0
03 Jul 2023
Robust mean change point testing in high-dimensional data with heavy tails
Mengchu Li
Yudong Chen
Tengyao Wang
Yi Yu
OOD
430
2
0
30 May 2023
A Log-Linear Non-Parametric Online Changepoint Detection Algorithm based on Functional Pruning
IEEE Transactions on Signal Processing (IEEE TSP), 2023
Gaetano Romano
I. Eckley
Paul Fearnhead
399
9
0
06 Feb 2023
Change point detection and inference in multivariable nonparametric models under mixing conditions
Neural Information Processing Systems (NeurIPS), 2023
Carlos Misael Madrid Padilla
Haotian Xu
Daren Wang
Oscar Hernan Madrid Padilla
Yi Yu
236
8
0
27 Jan 2023
cpop: Detecting changes in piecewise-linear signals
Journal of Statistical Software (JSS), 2022
Paul Fearnhead
D. Grose
158
6
0
23 Aug 2022
Sparse change detection in high-dimensional linear regression
Fengnan Gao
Tengyao Wang
315
4
0
12 Aug 2022
fabisearch: A Package for Change Point Detection in and Visualization of the Network Structure of Multivariate High-Dimensional Time Series in R
Neurocomputing (Neurocomputing), 2022
Martin Ondrus
Ivor Cribben
AI4TS
338
5
0
06 Jul 2022
Dynamic and heterogeneous treatment effects with abrupt changes
Oscar Hernan Madrid Padilla
Yi Yu
CML
146
2
0
18 Jun 2022
Random Forests for Change Point Detection
Journal of machine learning research (JMLR), 2022
Malte Londschien
Peter Bühlmann
Solt Kovács
380
40
0
10 May 2022
An Encoding Approach for Stable Change Point Detection
Machine-mediated learning (ML), 2021
Xiaodong Wang
F. Hsieh
AI4TS
256
2
0
11 May 2021
Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series
Martin Ondrus
Emily Olds
Ivor Cribben
411
9
0
10 Mar 2021
Graphical Elastic Net and Target Matrices: Fast Algorithms and Software for Sparse Precision Matrix Estimation
Solt Kovács
Tobias Ruckstuhl
Helena Obrist
Peter Buhlmann
282
14
0
06 Jan 2021
Optimal multiple change-point detection for high-dimensional data
Electronic Journal of Statistics (EJS), 2020
Emmanuel Pilliat
Alexandra Carpentier
Nicolas Verzélen
372
19
0
16 Nov 2020
A review on minimax rates in change point detection and localisation
Yi Yu
337
18
0
03 Nov 2020
Optimal Change-Point Detection and Localization
Nicolas Verzélen
M. Fromont
M. Lerasle
Patricia Reynaud-Bouret
403
63
0
22 Oct 2020
Optimistic search: Change point estimation for large-scale data via adaptive logarithmic queries
Solt Kovács
Housen Li
Lorenz Haubner
Axel Munk
Peter Buhlmann
463
7
0
20 Oct 2020
Scalable changepoint and anomaly detection in cross-correlated data with an application to condition monitoring
M. Tveten
I. Eckley
Paul Fearnhead
386
14
0
14 Oct 2020
Seeded intervals and noise level estimation in change point detection: A discussion of Fryzlewicz (2020)
Journal of the Korean Statistical Society (JKSS), 2020
Solt Kovács
Housen Li
Peter Buhlmann
235
4
0
23 Jun 2020
Two-stage data segmentation permitting multiscale change points, heavy tails and dependence
Annals of the Institute of Statistical Mathematics (AISM), 2019
Haeran Cho
Claudia Kirch
371
40
0
28 Oct 2019
Change point detection for graphical models in the presence of missing values
Journal of Computational And Graphical Statistics (JCGS), 2019
Malte Londschien
Solt Kovács
Peter Buhlmann
354
29
0
11 Jul 2019
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