Publications and Talks

Journal Publications

1. 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)

2. 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)

Preprints

1. Stochastic Approximation with Block Coordinate Optimal Stepsizes [paper]
Tao Jiang, Lin Xiao

2. 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

3. 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

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

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