An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Guannan Liang, Qianqian Tong, Chun Jiang Zhu, Jinbo Bi. An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. In The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. pages 1585-1592, AAAI Press, 2020. [doi]

This author has not been identified. Look up 'Guannan Liang' in GoogleThis author has not been identified. Look up 'Qianqian Tong' in GoogleThis author has not been identified. Look up 'Chun Jiang Zhu' in GoogleThis author has not been identified. Look up 'Jinbo Bi' in Google

runs on WebDSL