Recommender Systems

• A Greedy Approach for Budgeted Maximum Inner Product Search (pdf, software)
  H. Yu, C. Hsieh, Q. Lei, I. Dhillon.
  In Neural Information Processing Systems (NIPS), December 2017.
• Nomadic Computing for Big Data Analytics
  H. Yu, C. Hsieh, H. Yun, S. Vishwanathan, I. Dhillon.
  IEEE Computer (IEEE Computer) 49(4), pp. 52–60, 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.
• Collaborative Filtering with Graph Information: Consistency and Scalable Methods (pdf, software, code)
  N. Rao, H. Yu, P. Ravikumar, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 2098–2106, 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.
• Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons (pdf, software)
  D. Park, J. Neeman, J. Zhang, S. Sanghavi, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 1907-1916, 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.
• Large-scale Multi-label Learning with Missing Labels (pdf, software)
  H. Yu, P. Jain, P. Kar, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 593–601, June 2014.
• Which app will you use next? Collaborative Filtering with Interactional Context (pdf, software)
  N. Natarajan, D. Shin, I. Dhillon.
  In ACM Conference on Recommender Systems (RecSys), pp. 201-208, October 2013.
• Prediction and Validation of Gene-Disease Associations using Methods Inspired by Social Network Analyses (pdf, software)
  U. Singh-Blom, N. Natarajan, A. Tewari, J. Woods, I. Dhillon, E. Marcotte.
  PLoS ONE 8(5), May 2013.
  (e58977)
• 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)
• Scalable Affiliation Recommendation using Auxiliary Networks (pdf, software)
  V. Vasuki, N. Natarajan, Z. Lu, B. Savas, I. Dhillon.
  ACM Transactions on Intelligent Systems and Technology (TIST) 3(1), October 2011.
• Affiliation Recommendation using Auxiliary Networks (pdf, software)
  V. Vasuki, N. Natarajan, Z. Lu, I. Dhillon.
  In ACM Conference on Recommender Systems (RecSys), pp. 103-110, September 2010. (Oral)
• A Spatio-Temporal Approach to Collaborative Filtering (pdf, software)
  Z. Lu, D. Agarwal, I. Dhillon.
  In ACM Conference on Recommender Systems (RecSys), October 2009.