activity
20182022
most citedOptimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method

3 citations · 10 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL20223 cited

Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions

Rindranirina Ramamonjison, Haley Li, Timothy T. Yu +5

We describe an augmented intelligence system for simplifying and enhancing the modeling experience for operations research. Using this system, the user receives a suggested formula…

math.CA2022

A class of singular bilinear maximal functions

Michael Christ, Zirui Zhou

Lebesgue space bounds are established for certain maximal bilinear operators. The proof combines a trilinear smoo…

eess.SY20212 cited

An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud

Liang Hu, Jiangcheng Zhu, Zirui Zhou +3

Cloud training platforms, such as Amazon Web Services and Huawei Cloud provide users with computational resources to train their deep learning jobs. Elastic training is a service e…

math.OC20213 cited

Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method

Peng Wang, Huikang Liu, Zirui Zhou +1

In this paper, we study the problem of exact community recovery in the symmetric stochastic block model, where a graph of vertices is randomly generated by partitioning the ver…

math.FA2018

Analysis on hybrid fractals

Patricia Alonso Ruiz, Yuming Chen, Haotian Gu +2

We introduce hybrid fractals as a class of fractals constructed by gluing several fractal pieces in a specific manner and study energy forms and Laplacians on them. We consider in…

math.OC20182 cited

On the Quadratic Convergence of the Cubic Regularization Method under a Local Error Bound Condition

Man-Chung Yue, Zirui Zhou, Anthony Man-Cho So

In this paper we consider the cubic regularization (CR) method for minimizing a twice continuously differentiable function. While the CR method is widely recognized as a globally c…