Matrix Completion

• Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction (pdf, software, code)
  H. Yu, N. Rao, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 847-855, December 2016.
• PU Matrix Completion with Graph Information
  N. Natarajan, N. Rao, I. Dhillon.
  International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), December 2015.
• Matrix Completion with Noisy Side Information (pdf, software)
  K. Chiang, C. Hsieh, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 3447–3455, December 2015. (Spotlight)
• Tumblr Blog Recommendation with Boosted Inductive Matrix Completion (pdf, software)
  D. Shin, S. Cetintas, K. Lee, I. Dhillon.
  In ACM Conference on Information and Knowledge Management (CIKM), pp. 203–212, October 2015.
• Efficient Matrix Sensing Using Rank-1 Gaussian Measurements (pdf, software)
  K. Zhong, P. Jain, I. Dhillon.
  In International Conference on Algorithmic Learning Theory (ALT), pp. 3-18, October 2015.
• PU Learning for Matrix Completion (pdf, software)
  C. Hsieh, N. Natarajan, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 2445-2453, July 2015.
• Parallel Matrix Factorization for Recommender Systems (pdf, software)
  H. Yu, C. Hsieh, S. Si, I. Dhillon.
  Knowledge and Information Systems (KAIS) 41(3), pp. 793-819, December 2014.
• NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion (pdf, software)
  H. Yun, H. Yu, C. Hsieh, S. Vishwanathan, I. Dhillon.
  In International Conference on Very Large Data Bases (VLDB), pp. 975-986, July 2014.
• Inductive matrix completion for predicting gene-disease associations (pdf, software)
  N. Natarajan, I. Dhillon.
  Bioinformatics 30(12), pp. i60-i68, June 2014.
• Prediction and Clustering in Signed Networks: A Local to Global Perspective (pdf, software)
  K. Chiang, C. Hsieh, N. Natarajan, A. Tewari, I. Dhillon.
  Journal of Machine Learning Research (JMLR) 15, pp. 1177-1213, March 2014.
• Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems (pdf, software)
  H. Yu, C. Hsieh, S. Si, I. Dhillon.
  In IEEE International Conference on Data Mining (ICDM), pp. 765-774, December 2012. (Oral)
• Low-Rank Modeling of Signed Networks (pdf, software)
  C. Hsieh, K. Chiang, I. Dhillon.
  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 2012.
• Guaranteed Rank Minimization via Singular Value Projection (pdf, software)
  R. Meka, P. Jain, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 937-945, December 2010.
• Matrix Completion from Power-Law Distributed Samples (pdf, software)
  R. Meka, P. Jain, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 1258-1266, December 2009.