Publications and Talks

Working Papers

1. Spectral clustering and variance reduction in graph
Anil Damle, Tao Jiang, Abhay Singh

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. 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

2. 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
Manuscript (2023)

3. A linearly convergent Gauss-Newton subgradient method for ill-conditioned problems [paper]
Tao Jiang, Damek Davis
Manuscript (2022)

4. Certifying clusters from sum-of-norms clustering [paper talk at ICCOPT 2022]
Tao Jiang, Stephen Vavasis
Manuscript (2020)