Matrix Approximation

• Goal-Directed Inductive Matrix Completion (pdf, slides, software)
  S. Si, K. Chiang, C. Hsieh, N. Rao, I. Dhillon.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 1165–1174, August 2016. (Oral)
• Computationally Efficient Nystrom Approximation using Fast Transforms (pdf, slides, software)
  S. Si, C. Hsieh, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 2655-2663, June 2016.
• Parallel Clustered Low-rank Approximation of Graphs and Its Application to Link Prediction (pdf, software)
  X. Sui, T. Lee, J. Whang, B. Savas, S. Jain, K. Pingali, I. Dhillon.
  International Workshop on Languages and Compilers for Parallel Computing (LCPC), pp. 76-95, October 2012. (Oral)
• Clustered Low Rank Approximation of Graphs in Information Science Applications (pdf, software)
  B. Savas, I. Dhillon.
  In SIAM International Conference on Data Mining (SDM), pp. 164-175, April 2011.
• A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximations (pdf, software)
  A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu, D. Modha.
  Journal of Machine Learning Research (JMLR) 8, pp. 1919-1986, August 2007.
• A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximations (pdf, software)
  A. Banerjee, I. Dhillon, J. Ghosh, S. Merugu.
  In International Conference on Machine Learning (ICML), pp. 57-64, July 2004.