Search Results for author: Wanli Shi

Found 5 papers, 0 papers with code

Efficient Bi-level Optimization for Non-smooth Optimization

no code implementations29 Sep 2021 Wanli Shi, Heng Huang, Bin Gu

Then, we transform the smoothed bi-level optimization to an unconstrained penalty problem by replacing the smoothed sub-problem with its first-order necessary conditions.

Accelerated Gradient-Free Method for Heavily Constrained Nonconvex Optimization

no code implementations29 Sep 2021 Wanli Shi, Hongchang Gao, Bin Gu

In this paper, to solve the nonconvex problem with a large number of white/black-box constraints, we proposed a doubly stochastic zeroth-order gradient method (DSZOG).

Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization

no code implementations24 Dec 2019 Wanli Shi, Bin Gu, Xinag Li, Heng Huang

Semi-supervised ordinal regression (S$^2$OR) problems are ubiquitous in real-world applications, where only a few ordered instances are labeled and massive instances remain unlabeled.

Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization

no code implementations29 Jul 2019 Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang

To address this problem, in this paper, we propose a novel scalable quadruply stochastic gradient algorithm (QSG-S2AUC) for nonlinear semi-supervised AUC optimization.

Stochastic Optimization

Scalable Semi-Supervised SVM via Triply Stochastic Gradients

no code implementations26 Jul 2019 Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang

Specifically, to handle two types of data instances involved in S$^3$VM, TSGS$^3$VM samples a labeled instance and an unlabeled instance as well with the random features in each iteration to compute a triply stochastic gradient.

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