| Publication Date | Article Title | Author(s) |
| 17-Oct-2017 | Accelerating Stochastic Composition Optimization | Wang, Mengdi; Liu, Ji; Fang, Ethan X. |
| 1-Jan-2016 | Accelerating Stochastic Composition Optimization | Wang, Mengdi; Liu, Ji; Fang, Ethan X. |
| 2019 | Approximation Hardness for A Class of Sparse Optimization Problems | Chen, Yichen; Ye, Yinyu; Wang, Mengdi |
| Apr-2015 | Averaging random projection: A fast online solution for large-scale constrained stochastic optimization | Liu, Jialin; Gu, Yuantao; Wang, Mengdi |
| 2019 | Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach | Fang, Ethan X.; Liu, Han; Wang, Mengdi |
| 2017 | Diffusion Approximations for Online Principal Component Estimation and Global Convergence | Li, Chris Junchi; Wang, Mengdi; Liu, Han; Zhang, Tong |
| 2018 | Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization | Chen, Minshuo; Yang, Lin F.; Wang, Mengdi; Zhao, Tuo |
| Jun-2015 | A Distributed Tracking Algorithm for Reconstruction of Graph Signals | Wang, Xiaohan; Wang, Mengdi; Gu, Yuantao |
| 1-Jan-2018 | Estimation of Markov Chain via Rank-Constrained Likelihood | Li, Xudong; Wang, Mengdi; Zhang, Anru |
| 1-Jan-2017 | Finite-sum Composition Optimization via Variance Reduced Gradient Descent | Lian, Xiangru; Wang, Mengdi; Liu, Ji |
| 1-Sep-2019 | Learning to Control in Metric Space with Optimal Regret | Yang, Lin F.; Ni, Chengzhuo; Wang, Mengdi |
| 1-Jan-2018 | Minimax-optimal privacy-preserving sparse PCA in distributed systems | Ge, Jason; Wang, Zhaoran; Wang, Mengdi; Liu, Han |
| 1-Jan-2019 | Multi-Level Stochastic Gradient Methods for Nested Composition Optimization | Yang, Shuoguang; Wang, Mengdi; Fang, Ethan X. |
| 2018 | Near-optimal stochastic approximation for online principal component estimation | Li, CJ; Wang, Mengdi; Liu, Han; Zhang, T |
| 2012 | A Quasi Monte Carlo Method for Large-Scale Inverse Problems | Polydorides, Nick; Wang, Mengdi; Bertsekas, Dimitri P. |
| 2017 | Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions | Wang, Mengdi; Fang, Ethan X; Liu, Han |
