My research interest is in the broad area of machine learning. The focus of my doctoral work is on mixed membership latent variable discovery including topic modeling, preference prediction, and network community detection.





  • W. Ding, P. Ishwar, and V. Saligrama, “A Topic Modeling Approach to Ranking,”  in Proc. International Conference in Artificial Intelligence and Statistics (AISTATS’15), San Diego, CA, USA, 7-9, May., 2015. [arXiv version]
  • W. Ding, P. Ishwar, and V. Saligrama, “Most Large Topic Models are Approximately Separable“,  in Proc. 10th IEEE International Workshop on Information Theory and Applications (ITA)San Diego, CA, 1-6, Feb., 2015.
  • W. Ding, P. Ishwar, and V. Saligrama, “Learning Shared Rankings From Mixtures of Noisy Pairwise Comparisons”, to appear in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’15), Apr., 2015.