Distributed Penalized Modal Regression for Massive Data

Author:

Jin Jun,Liu Shuangzhe,Ma Tiefeng

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Computer Science (miscellaneous)

Reference47 articles.

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2. Dhillon P S, Lu Y, Foster D, et al., New subsampling algorithms for fast least squares regression, Advances in Neural Information Processing Systems, 2013, 360–368.

3. Kleiner A, Talwalkar A, Sarkar P, et al., A scalable bootstrap for massive data, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2014, 76(4): 795–816.

4. Ma P, Mahoney M W, and Yu B, A statistical perspective on algorithmic leveraging, Journal of Machine Learning Research, 2015, 16(1): 861–919.

5. Clarkson K L and Woodruff D P, Low rank approximation and regression in input sparsity time, Journal of the ACM, 2017, 63(6): 1–45.

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