Big Data

• Learning long term dependencies via Fourier recurrent units (pdf, arXiv, software)
  J. Zhang, Y. Lin, Z. Song, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 5810–5818, July 2018.
• 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.
• Doubly Greedy Primal-Dual Coordinate Methods for Sparse Empirical Risk Minimization (pdf, software)
  Q. Lei, I. Yen, C. Wu, P. Ravikumar, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 8, August 2017.
• Fast Classification with Binary Prototypes (pdf, software)
  K. Zhong, R. Guo, S. Kumar, B. Yan, D. Simcha, I. Dhillon.
  In International Conference on Artificial Intelligence and Statistics (AISTATS), 2017.
• Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain (pdf, software)
  X. Huang, I. Yen, R. Zhang, Q. Huang, P. Ravikumar, I. Dhillon.
  In International Conference on Artificial Intelligence and Statistics (AISTATS), April 2017.
• A Primal and Dual Sparse Approach to Extreme Classification (pdf, slides, poster, software, code)
  I. Yen, X. Huang, K. Zhong, P. Ravikumar, I. Dhillon.
  In International Conference on Machine Learning (ICML), June 2016. (Oral)
• 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.
• Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent (pdf, software, code)
  I. Yen, K. Zhong, C. Hsieh, P. Ravikumar, I. Dhillon.
  In Neural Information Processing Systems (NIPS), December 2015.
• Scalable Data-driven PageRank: Algorithms, System Issues, and Lessons Learned (pdf, software)
  J. Whang, A. Lenharth, I. Dhillon, K. Pingali.
  In International European Conference on Parallel and Distributed Computing (Euro-Par), pp. 438–450, August 2015. (Oral)
• PASSCoDe: Parallel ASynchronous Stochastic dual Co-ordinate Descent (pdf, software)
  C. Hsieh, H. Yu, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 2370-2379, July 2015.
• A Scalable Asynchronous Distributed Algorithm for Topic Modeling (pdf, arXiv, software, code)
  H. Yu, C. Hsieh, H. Yun, S. Vishwanathan, I. Dhillon.
  In International World Wide Web Conference (WWW), pp. 1340-1350, May 2015. (Oral)
• Elementary Estimators for Graphical Models (pdf, software)
  E. Yang, A. Lozano, P. Ravikumar.
  In Neural Information Processing Systems (NIPS), December 2014.
• Fast Prediction for Large-Scale Kernel Machines (pdf, software)
  C. Hsieh, S. Si, I. Dhillon.
  In Neural Information Processing Systems (NIPS), pp. 3689-3697, December 2014.
• Multi-Scale Spectral Decomposition of Massive Graphs (pdf, software)
  S. Si, D. Shin, I. Dhillon, B. Parlett.
  In Neural Information Processing Systems (NIPS), pp. 2798-2806, December 2014.
• QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models (pdf, software)
  C. Hsieh, I. Dhillon, P. Ravikumar, S. Becker, P. Olsen.
  In Neural Information Processing Systems (NIPS), pp. 2006–2014, December 2014.
• 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.
• QUIC: Quadratic Approximation for Sparse Inverse Covariance Matrix Estimation (pdf, software)
  C. Hsieh, M. Sustik, I. Dhillon, P. Ravikumar.
  Journal of Machine Learning Research (JMLR), October 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.
• A Divide-and-Conquer Solver for Kernel Support Vector Machines (pdf, software, code)
  C. Hsieh, S. Si, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 566-574, June 2014.
• Memory Efficient Kernel Approximation (pdf, slides, software, code)
  S. Si, C. Hsieh, I. Dhillon.
  In International Conference on Machine Learning (ICML), pp. 701-709, June 2014.
• Dirty Statistical Models (pdf, software)
  E. Yang, P. Ravikumar.
  In Neural Information Processing Systems (NIPS), 2013.
• BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables (pdf, software)
  C. Hsieh, M. Sustik, I. Dhillon, P. Ravikumar, R. Poldrack.
  In Neural Information Processing Systems (NIPS), December 2013. (Oral)
• Large Scale Distributed Sparse Precision Estimation (pdf, software)
  H. Wang, C. Hsieh, A. Banerjee, P. Ravikumar, I. Dhillon.
  In Neural Information Processing Systems (NIPS), December 2013.
• A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation (pdf, software)
  C. Hsieh, I. Dhillon, P. Ravikumar, A. Banerjee.
  In Neural Information Processing Systems (NIPS), pp. 2339-2347, December 2012.
• Scalable and Memory-Efficient Clustering of Large-Scale Social Networks (pdf, slides, software)
  J. Whang, X. Sui, I. Dhillon.
  In IEEE International Conference on Data Mining (ICDM), pp. 705-714, December 2012. (Oral)
• 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)
• 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 Embedding of Massive Social Networks (pdf, software)
  H. Song, B. Savas, T. Cho, V. Dave, Z. Lu, I. Dhillon, Y. Zhang, L. Qui.
  In ACM SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS/Performance), pp. 331-342, June 2012.
• On a Zero-Finding Problem involving the Matrix Exponential (pdf, software)
  M. Sustik, I. Dhillon.
  SIAM Journal of Matrix Analysis and Applications (SIMAX) 33(4), pp. 1237-1249, 2012.