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Nonparametric multiple change point estimation in highly dependent time seriesProc. 24th International Conf. on Algorithmic Learning Theory (ALT'13), 2013, Singapore, Singapore. pp.382-396
Conference papers
hal-00913250v1
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Nonparametric multiple change point estimation in highly dependent time seriesTheoretical Computer Science, 2016, 620, pp.119-133. ⟨10.1016/j.tcs.2015.10.041⟩
Journal articles
hal-01235330v1
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Online Clustering of ProcessesAISTATS 2012, 2012, La Palma, Spain. pp.601-609
Conference papers
hal-00765462v1
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Asymptotically consistent estimation of the number of change points in highly dependent time seriesInternational Conference on Machine Learning (ICML), Jun 2014, Beijing, China. pp.539-547
Conference papers
hal-01026583v1
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Locating Changes in Highly Dependent Data with Unknown Number of Change PointsNIPS 2012, 2012, Lake Tahoe, United States. pp.3095--3103
Conference papers
hal-00765436v1
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On Some Unsupervised Learning Problems for Highly Dependent Time SeriesStatistics [math.ST]. Institut national de recherche en informatique et en automatique (INRIA), 2013. English. ⟨NNT : ⟩
Theses
tel-00920184v1
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Consistent Algorithms for Clustering Time SeriesJournal of Machine Learning Research, 2016, 17 (3), pp.1 - 32
Journal articles
hal-01399613v1
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