Publications and Talks

Stochastic Approximation with Block Coordinate Optimal Stepsizes [paper]
Tao Jiang, Lin Xiao
Submitted to JMLR

Range of the displacement operator of PDHG with applications to quadratic and conic programming [paper talk at SIAM OP23]
Tao Jiang, Walaa Moursi, Stephen Vavasis
Revision at Mathematics of Operations Research

Re-embedding data to strengthen recovery guarantees of clustering [paper talk at SIAM MDS22 and Informs Annual meeting 2022]
Tao Jiang, Samuel Tan, Stephen Vavasis

A linearly convergent Gauss-Newton subgradient method for ill-conditioned problems [paper]
Tao Jiang, Damek Davis

Certifying clusters from sum-of-norms clustering [paper talk at ICCOPT 2022]
Tao Jiang, Stephen Vavasis

Recovery of a mixture of Gaussians by sum-of-norms clustering [paper talk at ICCOPT 2019]
Tao Jiang, Stephen Vavasis, Sabrina Chen Wen Zhai
Journal of Machine Learning Research (2020)

An inexact l2-norm penalty method for cardinality constrained portfolio optimization paper
Tao Jiang, Shuo Wang, Ruochen Zhang, Lang Qin, Jinglian Wu, Delin Wang, Selin Damla Ahipasaoglu
The Engineering Economist (2019)