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Change point inference in high-dimensional regression models under temporal dependence. (2022) arXiv preprint. [pdf]
Haotian Xu, Daren Wang, Zifeng Zhao and Y.
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Dynamic and heterogeneous treatment effects with abrupt changes. (2022) arXiv preprint. [pdf]
Oscar Hernan Madrid Padilla and Y.
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Change-point Detection for Sparse and Dense Functional Data in General Dimensions. (2022) arXiv preprint. [pdf]
Carlos Misael Madrid Padilla, Daren Wang, Zifeng Zhao and Y.
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Network change point localisation under local differential privacy. (2022) arXiv preprint. [pdf]
Mengchu Li, Thomas B. Berrett and Y.
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On robustness and local differential privacy. (2022) arXiv preprint. [pdf]
Mengchu Li, Thomas B. Berrett and Y.
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Online network change point detection with missing values. (2021) arXiv preprint. [pdf]
Paromita Dubey, Haotian Xu and Y.
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Generalized non-stationary bandits. (2021) arXiv preprint. [pdf]
Anne Gael Manegueu, Alexandra Carpentier and Y.
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Optimal network online change point localisation. (2021) arXiv preprint. [pdf]
Y., Oscar Hernan Madrid Padilla, Daren Wang and Alessandro Rinaldo
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A review on minimax rates in change point detection and localisation. (2020) arXiv preprint. [pdf]
Y.
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A Note on Online Change Point Detection. (2020) arXiv preprint. [pdf]
Y., Oscar Hernan Madrid Padilla, Daren Wang and Alessandro Rinaldo
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Change point localization in dependent dynamic nonparametric random dot product graphs. (2019) arXiv preprint. [pdf]
Oscar Hernan Madrid Padilla, Y. and Carey E. Priebe
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Localizing changes in high-dimensional vector autoregressive processes. (2019) arXiv preprint. [pdf]
Daren Wang, Y., Alessandro Rinaldo and Rebecca Willett
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Functional Linear Regression with Mixed Predictors. (2022) Journal of Machine Learning Research, to appear. [pdf]
Daren Wang, Zifeng Zhao, Y., and Rebecca Willett
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Detecting abrupt changes in high-dimensional self-exciting Poisson processes. (2022) Statistica Sinica, to appear. [pdf]
Daren Wang, Y. and Rebecca Willett
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Denoising and change point localisation in piecewise-constant high-dimensional regression coefficients. (2022) AISTATS (oral). [pdf]
Fan Wang, Oscar Hernan Madrid Padilla, Y. and Alessandro Rinaldo
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Optimal partition recovery in general graphs. (2022) AISTATS. [pdf]
Y., Oscar Hernan Madrid Padilla and Alessandro Rinaldo
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Graph matching beyond perfectly-overlapping Erd\H{o}s--R\'enyi random graphs. (2021) Statistics and Computing, to appear. [pdf]
Yaofang Hu, Wanjie Wang and Y.
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Localising change points in piecewise polynomials of general degrees. (2021) Electronic Journal of Statistics, to appear. [pdf]
Y., Sabyasachi Chatterjee and Haotian Xu
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Optimal nonparametric multivariate change point detection and localization. (2021) IEEE Transactions on Information Theory. [pdf]
Oscar Hernan Madrid Padilla, Y., Daren Wang and Alessandro Rinaldo
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Lattice partition recovery with dyadic CART. (2021) NeurIPS. [pdf]
Oscar Hernan Madrid Padilla, Y. and Alessandro Rinaldo
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Locally private online change point detection. (2021) NeurIPS. [pdf]
Thomas B. Berrett and Y.
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Adversarially Robust Change Point Detection. (2021) NeurIPS. [pdf]
Mengchu Li and Y.
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Optimal nonparametric change point detection and localization. (2021) Electronic Journal of Statistics, Vol. 15, No. 1, 1154-1201. [pdf]
Oscar Hernan Madrid Padilla, Y., Daren Wang and Alessandro Rinaldo
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Localizing changes in high-dimensional regression models. (2021) AISTATS. [pdf]
Alessandro Rinaldo, Daren Wang, Qin Wen, Rebecca Willett and Y.
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Optimal Covariance Change Point Detection in High Dimension. (2020) Bernoulli, to appear. [pdf]
Daren Wang, Y. and Alessandro Rinaldo
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Univariate mean change point detection: penalization, CUSUM and optimality. (2020) Electronic Journal of Statistics, Vol. 14, No. 1, 1917--1961. [pdf]
Daren Wang, Y. and Alessandro Rinaldo
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Event history analysis of dynamic communication networks. (2020) Biometrika, to appear. [pdf]
Tony Sit, Zhiliang Ying and Y.
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Optimal change point detection and localization in sparse dynamic networks. (2021) Annals of Statistics, Vol. 49, No. 1, 203-232. [pdf]
Daren Wang, Y. and Alessandro Rinaldo
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Spectral analysis of high-dimensional time series. (2019) Electronic Journal of Statistics, Vol. 13, 4079-4101. [pdf]
Mark Fiecas, Chenlei Leng, Weidong Liu and Y.
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Confidence intervals for high-dimensional Cox models. (2021) Statistica Sinica, 31, 243--267. [pdf]
Y., Jelena Bradic and Richard J. Samworth
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Two new approaches for the visualisation of models for network meta-analysis. (2019) BMC Medical Research Methodology, to appear. [pdf]
Martin Law, Navid Alam, Areti Angeliki Veroniki, Y. and Dan Jackson
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Link prediction for inter-disciplinary collaboration via co-authorship network. (2018) Social Network Analysis and Mining, 8, 25. [pdf]
Haeran Cho and Y.
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The restricted consistency property of leave-nv-out cross-validation for high-dimensional variable selection . (2019) Statistica Sinica, 29, 1607--1630 [pdf, R codes]
Yang Feng and Y.
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Estimating whole brain dynamics using spectral clustering. (2017) Journal of Royal Statistical Society, Series C, 66, 607--627. [pdf]
Ivor Cribben and Y.
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How many communities are there? (2017) Journal of Computational and Graphical Statistics, 26, 171--181. [pdf]
Diego Franco Saldana, Y. and Yang Feng
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A useful variant of the Davis--Kahan theorem for statisticians. (2015) Biometrika, 102, 315--323. [pdf]
Y., Tengyao Wang and Richard J. Samworth
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Modified cross-validation for penalized high-dimensional linear regression models. (2014) Journal of Computational and Graphical Statistics, 23, 1009--1027. [pdf, R codes]
Y. and Yang Feng
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Apple: Approximate Path for Penalized Likelihood Estimators (2013). Statistics and Computing, 24, 803--819 [pdf]
Y. and Yang Feng
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Oracle inequalities for the Lasso in the Cox model (2013). The Annals of Statistics, 41, 1142--1165. [pdf]
Jian Huang, Tingni Sun, Zhiliang Ying, Y. and Cun-Hui Zhang
Ph.D. thesis