Shuai Zheng

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The alternating direction method of multipliers (ADMM) is a powerful optimization solver in machine learning. Recently, stochastic ADMM has been integrated with variance reduction methods for stochastic gradient, leading to SAG-ADMM and SDCA-ADMM that have fast convergence rates and low iteration complexities. However, their space requirements can still be(More)
With the recent proliferation of large-scale learning problems, there have been a lot of interest on distributed machine learning algorithms, particularly those that are based on stochastic gradient descent (SGD) and its variants. However, existing algorithms either suffer from slow convergence due to the inherent variance of stochastic gradients, or have a(More)
The Toyota Prius is the bestselling hybrid vehicle on current market. The power split device (PSD) in the Toyota Hybrid System (THS) is the key component in Prius. And the differential is the essential component in automobile drive axel. The PSD in hybrid electric vehicle (HEV) and the automobile differential both belong to planetary-gear system, although(More)
In regularized risk minimization, the associated optimization problem becomes particularly difficult when both the loss and regularizer are nonsmooth. Existing approaches either have slow or unclear convergence properties, are restricted to limited problem subclasses, or require careful setting of a smoothing parameter. In this paper, we propose a(More)
In this demo paper we present a multiscale browsing interface for handheld devices, in which the user can interactively change the scale of the storyboard to easily adjust the amount of information desired. Conventional and hierarchical storyboards provide one or very few possible lengths. In contrast, scalable storyboards allow the number of images and the(More)
Grey theory has been applied widely in the field of prediction and decision, but model precision is influenced extremely by sequence smooth degree, boundary condition and background value. Genetic algorithm has well effect in searching for best result because it is an effective way. The paper advances a new method, sin function is used to deal with(More)
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