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The group fused Lasso for multiple change-point detection

The group fused Lasso for multiple change-point detection

21 June 2011
K. Bleakley
Jean-Philippe Vert
ArXiv (abs)PDFHTML

Papers citing "The group fused Lasso for multiple change-point detection"

49 / 49 papers shown
Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
Jialiang Geng
George Michailidis
211
0
0
13 Mar 2025
Anomalous Change Point Detection Using Probabilistic Predictive Coding
Anomalous Change Point Detection Using Probabilistic Predictive Coding
Roelof G. Hup
Julian P Merkofer
A. Bhogal
Ruud J. G. van Sloun
R. Haakma
Rik Vullings
266
0
0
24 May 2024
Fusion regression methods with repeated functional data
Fusion regression methods with repeated functional dataComputational Statistics & Data Analysis (CSDA), 2023
Issam-Ali Moindjié
C. Preda
Sophie Dabo-Niang
238
2
0
03 Aug 2023
Implicit neural representation for change detection
Implicit neural representation for change detectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Peter Naylor
Diego Di Carlo
Arianna Traviglia
Makoto Yamada
M. Fiorucci
3DPC
260
2
0
28 Jul 2023
Learning Personalized Brain Functional Connectivity of MDD Patients from
  Multiple Sites via Federated Bayesian Networks
Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks
Shuai Liu
Xiao Guo
S. Qi
Huan Wang
Xiangyu Chang
FedML
242
4
0
06 Jan 2023
Benchopt: Reproducible, efficient and collaborative optimization
  benchmarks
Benchopt: Reproducible, efficient and collaborative optimization benchmarksNeural Information Processing Systems (NeurIPS), 2022
Thomas Moreau
Mathurin Massias
Alexandre Gramfort
Pierre Ablin
Pierre-Antoine Bannier Benjamin Charlier
...
Binh Duc Nguyen
A. Rakotomamonjy
Zaccharie Ramzi
Joseph Salmon
Samuel Vaiter
404
49
0
27 Jun 2022
Change-point regression with a smooth additive disturbance
Change-point regression with a smooth additive disturbance
F. Pein
266
1
0
07 Dec 2021
Valid and Exact Statistical Inference for Multi-dimensional Multiple
  Change-Points by Selective Inference
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference
Ryota Sugiyama
Hiroki Toda
Vo Nguyen Le Duy
Yu Inatsu
Ichiro Takeuchi
194
15
0
18 Oct 2021
Slowly Varying Regression under Sparsity
Slowly Varying Regression under SparsityOperational Research (OR), 2021
Dimitris Bertsimas
V. Digalakis
M. Li
O. Skali Lami
578
12
0
22 Feb 2021
Scalable Feature Matching Across Large Data Collections
Scalable Feature Matching Across Large Data CollectionsJournal of Computational And Graphical Statistics (JCGS), 2021
D. Degras
156
3
0
06 Jan 2021
Multi-regime analysis for computer vision-based traffic surveillance
  using a change-point detection algorithm
Multi-regime analysis for computer vision-based traffic surveillance using a change-point detection algorithm
Seungyun Jeong
Keemin Sohn
212
1
0
07 Nov 2020
Scalable changepoint and anomaly detection in cross-correlated data with
  an application to condition monitoring
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
ABM: an automatic supervised feature engineering method for loss based
  models based on group and fused lasso
ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso
Weijian Luo
Yongxian Long
191
0
0
22 Sep 2020
Aggregated hold out for sparse linear regression with a robust loss
  function
Aggregated hold out for sparse linear regression with a robust loss functionElectronic Journal of Statistics (EJS), 2020
G. Maillard
FedML
343
1
0
26 Feb 2020
Sparse Group Fused Lasso for Model Segmentation
Sparse Group Fused Lasso for Model SegmentationAdvances in Data Analysis and Classification (ADAC), 2019
D. Degras
246
12
0
16 Dec 2019
Weighted Linear Bandits for Non-Stationary Environments
Weighted Linear Bandits for Non-Stationary EnvironmentsNeural Information Processing Systems (NeurIPS), 2019
Yoan Russac
Claire Vernade
Olivier Cappé
374
118
0
19 Sep 2019
Multivariate Rank-based Distribution-free Nonparametric Testing using
  Measure Transportation
Multivariate Rank-based Distribution-free Nonparametric Testing using Measure TransportationJournal of the American Statistical Association (JASA), 2019
Nabarun Deb
B. Sen
388
163
0
18 Sep 2019
An Algorithm for Graph-Fused Lasso Based on Graph Decomposition
An Algorithm for Graph-Fused Lasso Based on Graph Decomposition
Feng Yu
Yi Yang
Teng Zhang
308
0
0
06 Aug 2019
Statistically and Computationally Efficient Change Point Localization in
  Regression Settings
Statistically and Computationally Efficient Change Point Localization in Regression SettingsJournal of machine learning research (JMLR), 2019
Daren Wang
Zifeng Zhao
Kevin Lin
Rebecca Willett
305
43
0
26 Jun 2019
Towards Human Body-Part Learning for Model-Free Gait Recognition
Towards Human Body-Part Learning for Model-Free Gait Recognition
Imad Rida
CVBM
109
17
0
02 Apr 2019
Real-time Video Summarization on Commodity Hardware
Real-time Video Summarization on Commodity Hardware
W. Taylor
F. Qureshi
132
2
0
26 Jan 2019
Element-wise estimation error of a total variation regularized estimator
  for change point detection
Element-wise estimation error of a total variation regularized estimator for change point detection
Teng Zhang
225
4
0
03 Jan 2019
ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source
  Separation
ABACUS: Unsupervised Multivariate Change Detection via Bayesian Source Separation
Wenyu Zhang
Daniel E. Gilbert
David S. Matteson
226
8
0
15 Oct 2018
Spline Regression with Automatic Knot Selection
Spline Regression with Automatic Knot Selection
Vivien Goepp
Olivier Bouaziz
G. Nuel
162
40
0
06 Aug 2018
Binacox: automatic cut-point detection in high-dimensional Cox model
  with applications in genetics
Binacox: automatic cut-point detection in high-dimensional Cox model with applications in genetics
Simon Bussy
Mokhtar Z. Alaya
A. Jannot
Agathe Guilloux
361
1
0
25 Jul 2018
History Playground: A Tool for Discovering Temporal Trends in Massive
  Textual Corpora
History Playground: A Tool for Discovering Temporal Trends in Massive Textual Corpora
Thomas Lansdall-Welfare
N. Cristianini
177
13
0
04 Jun 2018
Convergence rates for smooth k-means change-point detection
Convergence rates for smooth k-means change-point detection
A. Fischer
D. Picard
204
3
0
21 Feb 2018
Multiple Changepoint Estimation in High-Dimensional Gaussian Graphical
  Models
Multiple Changepoint Estimation in High-Dimensional Gaussian Graphical Models
A. Gibberd
S. Roy
255
25
0
15 Dec 2017
Segment Parameter Labelling in MCMC Mean-Shift Change Detection
Segment Parameter Labelling in MCMC Mean-Shift Change DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017
Alireza Ahrabian
Shirin Enshaeifar
C. C. Took
Payam Barnaghi
158
1
0
26 Oct 2017
Solving the L1 regularized least square problem via a box-constrained smooth minimization
Majid Mohammadi
W. Hofman
Yao-Hua Tan
S. H. Mousavi
167
0
0
11 Apr 2017
Unsupervised Action Proposal Ranking through Proposal Recombination
Unsupervised Action Proposal Ranking through Proposal Recombination
Waqas Sultani
Dong Zhang
M. Shah
239
3
0
03 Apr 2017
Cognitive Deep Machine Can Train Itself
Cognitive Deep Machine Can Train Itself
András Lőrincz
M. Csákvári
Á. Fóthi
Z. '. Milacski
András Sárkány
Z. Tősér
149
2
0
02 Dec 2016
Multi-dimensional signal approximation with sparse structured priors
  using split Bregman iterations
Multi-dimensional signal approximation with sparse structured priors using split Bregman iterations
Yoann Isaac
Quentin Barthélemy
Cédric Gouy-Pailler
Michèle Sebag
Jamal Atif
244
8
0
29 Sep 2016
High-dimensional changepoint estimation via sparse projection
High-dimensional changepoint estimation via sparse projection
Tengyao Wang
R. Samworth
AI4TS
242
262
0
20 Jun 2016
Regularized Estimation of Piecewise Constant Gaussian Graphical Models:
  The Group-Fused Graphical Lasso
Regularized Estimation of Piecewise Constant Gaussian Graphical Models: The Group-Fused Graphical Lasso
A. Gibberd
J. Nelson
338
71
0
19 Dec 2015
Probabilistic Segmentation via Total Variation Regularization
Probabilistic Segmentation via Total Variation Regularization
Matt Wytock
J. Zico Kolter
161
0
0
16 Nov 2015
A breakpoint detection error function for segmentation model selection
  and evaluation
A breakpoint detection error function for segmentation model selection and evaluation
T. Hocking
221
0
0
01 Sep 2015
Learning the intensity of time events with change-points
Learning the intensity of time events with change-points
Mokhtar Z. Alaya
Stéphane Gaïffas
Agathe Guilloux
340
12
0
02 Jul 2015
On-the-fly Approximation of Multivariate Total Variation Minimization
On-the-fly Approximation of Multivariate Total Variation Minimization
Jordan Frécon
N. Pustelnik
P. Abry
Laurent Condat
236
11
0
22 Apr 2015
Long signal change-point detection
Long signal change-point detection
Gérard Biau
K. Bleakley
D. Mason
295
15
0
07 Apr 2015
Algorithm for overlapping estimation of common change-sets in spatial
  data of fixed size
Algorithm for overlapping estimation of common change-sets in spatial data of fixed size
Leonid Torgovitski
161
0
0
17 Feb 2015
Panel data segmentation under finite time horizon
Panel data segmentation under finite time horizon
Leonid Torgovitski
165
4
0
31 Dec 2014
Outlier-Robust Convex Segmentation
Outlier-Robust Convex SegmentationAAAI Conference on Artificial Intelligence (AAAI), 2014
Itamar Katz
K. Crammer
218
7
0
17 Nov 2014
Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms
Parallel and Distributed Block-Coordinate Frank-Wolfe AlgorithmsInternational Conference on Machine Learning (ICML), 2014
Yu Wang
Veeranjaneyulu Sadhanala
Wei-Ming Dai
Willie Neiswanger
S. Sra
Eric Xing
459
44
0
22 Sep 2014
Bayesian Model for Multiple Change-points Detection in Multivariate Time
  Series
Bayesian Model for Multiple Change-points Detection in Multivariate Time SeriesIEEE Transactions on Signal Processing (IEEE TSP), 2014
Flore Harle
Florent Chatelain
Cédric Gouy-Pailler
S. Achard
300
22
0
11 Jul 2014
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular
  Structure
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular Structure
H. Koepke
M. Meilă
476
0
0
06 Dec 2013
ecp: An R Package for Nonparametric Multiple Change Point Analysis of
  Multivariate Data
ecp: An R Package for Nonparametric Multiple Change Point Analysis of Multivariate Data
Nicholas A. James
David S. Matteson
311
299
0
12 Sep 2013
A Kernel Multiple Change-point Algorithm via Model Selection
A Kernel Multiple Change-point Algorithm via Model Selection
Sylvain Arlot
Alain Celisse
Zaïd Harchaoui
470
45
0
17 Feb 2012
Homogeneity and change-point detection tests for multivariate data using
  rank statistics
Homogeneity and change-point detection tests for multivariate data using rank statistics
A. Lung-Yut-Fong
Céline Lévy-Leduc
Olivier Cappé
574
98
0
11 Jul 2011
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