183 citations · 474 across the 30 of their papers we have counts for
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math.OC2017★ 8 cited
A Unified Scheme to Accelerate Adaptive Cubic Regularization and Gradient Methods for Convex Optimization
Bo Jiang, Tianyi Lin, Shuzhong Zhang
In this paper we propose a unified two-phase scheme for convex optimization to accelerate: (1) the adaptive cubic regularization methods with exact/inexact Hessian matrices, and (2…
cs.LG2017★ 10 cited
Stochastic Primal-Dual Proximal ExtraGradient Descent for Compositely Regularized Optimization
Tianyi Lin, Linbo Qiao, Teng Zhang +2
We consider a wide range of regularized stochastic minimization problems with two regularization terms, one of which is composed with a linear function. This optimization model abs…
stat.ML2017★ 19 cited
Relaxed Wasserstein with Applications to GANs
Xin Guo, Johnny Hong, Tianyi Lin +1
Wasserstein Generative Adversarial Networks (WGANs) provide a versatile class of models, which have attracted great attention in various applications. However, this framework has t…