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cs.LG2022
An Accelerated Doubly Stochastic Gradient Method with Faster Explicit Model Identification
Runxue Bao, Bin Gu, Heng Huang
Sparsity regularized loss minimization problems play an important role in various fields including machine learning, data mining, and modern statistics. Proximal gradient descent m…
cs.LG2022★ 7 cited
Sampling Through the Lens of Sequential Decision Making
Jason Xiaotian Dou, Alvin Qingkai Pan, Runxue Bao +3
Sampling is ubiquitous in machine learning methodologies. Due to the growth of large datasets and model complexity, we want to learn and adapt the sampling process while training a…