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Wild binary segmentation for multiple change-point detection

Wild binary segmentation for multiple change-point detection

4 November 2014
Piotr Fryzlewicz
ArXiv (abs)PDFHTML

Papers citing "Wild binary segmentation for multiple change-point detection"

50 / 166 papers shown
Title
Adaptive Testing for Segmenting Watermarked Texts From Language Models
Adaptive Testing for Segmenting Watermarked Texts From Language Models
Xingchi Li
Xiaochi Liu
Guanxun Li
WaLM
275
0
0
10 Nov 2025
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
ShapeX: Shapelet-Driven Post Hoc Explanations for Time Series Classification Models
Bosong Huang
Ming Jin
Yuxuan Liang
Johan Barthelemy
Debo Cheng
Qingsong Wen
Chenghao Liu
Shirui Pan
AI4TS
108
0
0
23 Oct 2025
StructuralDecompose: A Modular Framework for Robust Time Series Decomposition in R
StructuralDecompose: A Modular Framework for Robust Time Series Decomposition in R
Allen Daniel Sunny
AI4TSCML
112
0
0
06 Oct 2025
CLaP -- State Detection from Time Series
CLaP -- State Detection from Time Series
Arik Ermshaus
Patrick Schäfer
Ulf Leser
AI4TS
176
0
0
02 Apr 2025
Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
Jialiang Geng
George Michailidis
140
0
0
13 Mar 2025
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
Jianyu Xu
Qiuzhuang Sun
Yang Yang
Huadong Mo
Daoyi Dong
318
0
0
24 Feb 2025
Segmenting Watermarked Texts From Language Models
Segmenting Watermarked Texts From Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Xingchi Li
Guanxun Li
Xianyang Zhang
WaLM
160
3
0
28 Oct 2024
Finite Sample Complexity Analysis of Binary Segmentation
Finite Sample Complexity Analysis of Binary Segmentation
Toby Dylan Hocking
113
0
0
11 Oct 2024
Improved identification of breakpoints in piecewise regression and its
  applications
Improved identification of breakpoints in piecewise regression and its applications
Taehyeong Kim
Hyungu Lee
Hayoung Choi
123
0
0
25 Aug 2024
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
Gabriel Arpino
Xiaoqi Liu
Julia Gontarek
R. Venkataramanan
208
0
0
11 Apr 2024
Multiscale Quantile Regression with Local Error Control
Multiscale Quantile Regression with Local Error Control
Zhi Liu
Housen Li
204
1
0
17 Mar 2024
Multiple change point detection in functional data with applications to
  biomechanical fatigue data
Multiple change point detection in functional data with applications to biomechanical fatigue data
Patrick Bastian
Rupsa Basu
Holger Dette
325
6
0
18 Dec 2023
Online Multivariate Changepoint Detection: Leveraging Links With
  Computational Geometry
Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry
Liudmila Pishchagina
Gaetano Romano
Paul Fearnhead
Vincent Runge
G. Rigaill
226
3
0
02 Nov 2023
An Automated Machine Learning Approach for Detecting Anomalous Peak
  Patterns in Time Series Data from a Research Watershed in the Northeastern
  United States Critical Zone
An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical ZoneMachine Learning with Applications (MLWA), 2023
Ijazul Haq
Byung Suk Lee
Donna M. Rizzo
J. Perdrial
AI4TS
210
5
0
14 Sep 2023
Change Point Detection with Conceptors
Change Point Detection with Conceptors
Noah D. Gade
J. Rodu
110
0
0
11 Aug 2023
Fast and Optimal Inference for Change Points in Piecewise Polynomials
  via Differencing
Fast and Optimal Inference for Change Points in Piecewise Polynomials via DifferencingElectronic Journal of Statistics (EJS), 2023
Shakeel Gavioli-Akilagun
Piotr Fryzlewicz
161
2
0
07 Jul 2023
Reliever: Relieving the Burden of Costly Model Fits for Changepoint
  Detection
Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
Chengde Qian
Guanghui Wang
Changliang Zou
199
1
0
03 Jul 2023
Geometric-Based Pruning Rules For Change Point Detection in Multiple
  Independent Time Series
Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series
Liudmila Pishchagina
G. Rigaill
Vincent Runge
162
3
0
15 Jun 2023
Online Heavy-tailed Change-point detection
Online Heavy-tailed Change-point detectionConference on Uncertainty in Artificial Intelligence (UAI), 2023
Abishek Sankararaman
Balakrishnan
Balakrishnan Narayanaswamy
182
4
0
15 Jun 2023
Robust mean change point testing in high-dimensional data with heavy
  tails
Robust mean change point testing in high-dimensional data with heavy tails
Mengchu Li
Yudong Chen
Tengyao Wang
Yi Yu
OOD
290
2
0
30 May 2023
Unsupervised Change Point Detection for heterogeneous sensor signals
Unsupervised Change Point Detection for heterogeneous sensor signals
Mario Krause
AI4TS
104
2
0
19 May 2023
Testing for jumps in processes with integral fractional part and
  jump-robust inference on the Hurst exponent
Testing for jumps in processes with integral fractional part and jump-robust inference on the Hurst exponentEconometrics and Statistics (ES), 2023
M. Bibinger
Michael Sonntag
151
0
0
02 May 2023
A Multi-Task Deep Learning Approach for Sensor-based Human Activity
  Recognition and Segmentation
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and SegmentationIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2023
Furong Duan
Tao Zhu
Jinqiang Wang
L. Chen
Huansheng Ning
Yaping Wan
SSeg
142
21
0
20 Mar 2023
On Rank Energy Statistics via Optimal Transport: Continuity,
  Convergence, and Change Point Detection
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point DetectionIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Matthew Werenski
Shoaib Bin Masud
James M. Murphy
Shuchin Aeron
159
5
0
15 Feb 2023
Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and
  Trajectory Analysis
Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and Trajectory AnalysisIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Bardh Prenkaj
Paola Velardi
148
10
0
13 Feb 2023
Minimizing Change-Point Estimation Error
Minimizing Change-Point Estimation Error
H. Chan
98
0
0
01 Feb 2023
Change point detection and inference in multivariable nonparametric
  models under mixing conditions
Change point detection and inference in multivariable nonparametric models under mixing conditionsNeural Information Processing Systems (NeurIPS), 2023
Carlos Misael Madrid Padilla
Haotian Xu
Daren Wang
Oscar Hernan Madrid Padilla
Yi Yu
135
6
0
27 Jan 2023
Detecting Changes in the Transmission Rate of a Stochastic Epidemic
  Model
Detecting Changes in the Transmission Rate of a Stochastic Epidemic ModelStatistics in Medicine (Stat Med), 2022
Jenny Huang
Raphaël Morsomme
David B. Dunson
Jason Xu
84
3
0
27 Nov 2022
Smoothing splines for discontinuous signals
Smoothing splines for discontinuous signalsJournal of Computational And Graphical Statistics (JCGS), 2022
M. Storath
Andreas Weinmann
175
5
0
23 Nov 2022
Doubly Inhomogeneous Reinforcement Learning
Doubly Inhomogeneous Reinforcement Learning
Liyuan Hu
Mengbing Li
C. Shi
Zhanghua Wu
Piotr Fryzlewicz
OffRL
312
3
0
08 Nov 2022
Automatic Change-Point Detection in Time Series via Deep Learning
Automatic Change-Point Detection in Time Series via Deep Learning
Jie Li
Paul Fearnhead
Piotr Fryzlewicz
Teng Wang
AI4TS
159
27
0
07 Nov 2022
Sequential Gradient Descent and Quasi-Newton's Method for Change-Point
  Analysis
Sequential Gradient Descent and Quasi-Newton's Method for Change-Point AnalysisInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Xianyang Zhang
Trisha Dawn
152
3
0
21 Oct 2022
A Semiparametric Approach to the Detection of Change-points in
  Volatility Dynamics of Financial Data
A Semiparametric Approach to the Detection of Change-points in Volatility Dynamics of Financial DataCommunications in statistics. Simulation and computation (Commun. Stat. - Simul. Comput.), 2022
Huaiyu Hu
A. Gangopadhyay
78
1
0
20 Oct 2022
cpop: Detecting changes in piecewise-linear signals
cpop: Detecting changes in piecewise-linear signalsJournal of Statistical Software (JSS), 2022
Paul Fearnhead
D. Grose
123
6
0
23 Aug 2022
Latent Neural Stochastic Differential Equations for Change Point
  Detection
Latent Neural Stochastic Differential Equations for Change Point DetectionIEEE Access (IEEE Access), 2022
Artem Sergeevich Ryzhikov
M. Hushchyn
D. Derkach
188
4
0
22 Aug 2022
Sparse change detection in high-dimensional linear regression
Sparse change detection in high-dimensional linear regression
Fengnan Gao
Tengyao Wang
243
4
0
12 Aug 2022
Change point detection in high dimensional data with U-statistics
Change point detection in high dimensional data with U-statisticsTest (Madrid) (TM), 2022
Cooper Boniece
L. Horváth
Peter Jacobs
199
1
0
18 Jul 2022
Data Segmentation for Time Series Based on a General Moving Sum Approach
Data Segmentation for Time Series Based on a General Moving Sum ApproachAnnals of the Institute of Statistical Mathematics (AISM), 2022
Claudia Kirch
Kerstin Reckruehm
AI4TS
133
15
0
15 Jul 2022
Dynamic and heterogeneous treatment effects with abrupt changes
Dynamic and heterogeneous treatment effects with abrupt changes
Oscar Hernan Madrid Padilla
Yi Yu
CML
95
2
0
18 Jun 2022
Consistent Estimation of Multiple Breakpoints in Dependence Measures
Consistent Estimation of Multiple Breakpoints in Dependence Measures
Marvin Borsch
Alexander Mayer
Dominik Wied
85
1
0
09 Jun 2022
Detecting Abrupt Changes in Sequential Pairwise Comparison Data
Detecting Abrupt Changes in Sequential Pairwise Comparison DataNeural Information Processing Systems (NeurIPS), 2022
Wanshan Li
Daren Wang
Alessandro Rinaldo
175
2
0
25 May 2022
Network change point localisation under local differential privacy
Network change point localisation under local differential privacyNeural Information Processing Systems (NeurIPS), 2022
Mengchu Li
Thomas B. Berrett
Yi Yu
219
8
0
14 May 2022
Random Forests for Change Point Detection
Random Forests for Change Point DetectionJournal of machine learning research (JMLR), 2022
Malte Londschien
Peter Bühlmann
Solt Kovács
169
35
0
10 May 2022
Testing Stationarity and Change Point Detection in Reinforcement Learning
Testing Stationarity and Change Point Detection in Reinforcement LearningAnnals of Statistics (Ann. Stat.), 2022
Mengbing Li
C. Shi
Zhanghua Wu
Piotr Fryzlewicz
OffRL
384
12
0
03 Mar 2022
Unsupervised Change Detection using DRE-CUSUM
Unsupervised Change Detection using DRE-CUSUMAsilomar Conference on Signals, Systems and Computers (ACSSC), 2022
Sudarshan Adiga
Ravi Tandon
AI4TS
154
3
0
27 Jan 2022
WATCH: Wasserstein Change Point Detection for High-Dimensional Time
  Series Data
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
Kamil Faber
Roberto Corizzo
B. Sniezynski
Michael Baron
Nathalie Japkowicz
AI4TS
112
24
0
18 Jan 2022
PyChEst: a Python package for the consistent retrospective estimation of
  distributional changes in piece-wise stationary time series
PyChEst: a Python package for the consistent retrospective estimation of distributional changes in piece-wise stationary time series
A. Khaleghi
Lukas Zierahn
OODAI4TS
80
0
0
20 Dec 2021
Detection and Estimation of Multiple Transient Changes
Detection and Estimation of Multiple Transient Changes
Michael Baron
Sergey V. Malov
188
1
0
12 Dec 2021
Changepoint Analysis of Topic Proportions in Temporal Text Data
Changepoint Analysis of Topic Proportions in Temporal Text Data
Avinandan Bose
Soumendu Sundar Mukherjee
110
2
0
29 Nov 2021
Subspace Change-Point Detection via Low-Rank Matrix Factorisation
Subspace Change-Point Detection via Low-Rank Matrix Factorisation
Euan T. McGonigle
Hankui Peng
126
1
0
08 Oct 2021
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