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Automatic Change-Point Detection in Time Series via Deep Learning


Nov 07, 2022
Jie Li, Paul Fearnhead, Piotr Fryzlewicz, Tengyao Wang

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* 16 pages, 5 figures and 1 table 

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AIM 2020 Challenge on Rendering Realistic Bokeh


Nov 10, 2020
Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, Jiji C V, Hrishikesh P S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M B, Minnu A L, Sanjana A R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou

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* Published in ECCV 2020 Workshop (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 

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High-dimensional, multiscale online changepoint detection


Mar 07, 2020
Yudong Chen, Tengyao Wang, Richard J. Samworth

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* 40 pages, 3 figures 

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Sparse principal component analysis via random projections


Jul 24, 2018
Milana Gataric, Tengyao Wang, Richard J. Samworth

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* 32 pages 

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Statistical and computational trade-offs in estimation of sparse principal components


Sep 28, 2016
Tengyao Wang, Quentin Berthet, Richard J. Samworth

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* Annals of Statistics 2016, Vol. 44, No. 5, 1896-1930 
* Published at http://dx.doi.org/10.1214/15-AOS1369 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

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Average-case Hardness of RIP Certification


May 31, 2016
Tengyao Wang, Quentin Berthet, Yaniv Plan

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Multiple Identifications in Multi-Armed Bandits


May 14, 2012
Sébastien Bubeck, Tengyao Wang, Nitin Viswanathan

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