(Organized by TYPE) (Go to complete list by YEAR) Publications in Progress Journal Publications Conference Publications Workshop Papers Book Chapters Books Technical Reports Back to Top Publications in Progress Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting R. Sen, H. F. Yu, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NeurIPS), 2019. Download: [not available] AutoAssist: A Framework to Accelerate Training of Deep Neural Networks J. Zhang, H. F. Yu, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NeurIPS), 2019. Download: [not available] Provable Non-linear Inductive Matrix Completion K. Zhong, Z. Song, P. Jain, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NeurIPS), 2019. Download: [not available] Primal-Dual Block Frank-Wolfe Q. Lei, J. Zhuo, C. Caramanis, I. S. Dhillon, and A. Dimakis Proceedings of the Neural Information Processing Systems Conference (NeurIPS), 2019. Download: [not available] Inverting Deep Generative models, One layer at a time Q. Lei, A. Jalal, I. S. Dhillon, and A. Dimakis Proceedings of the Neural Information Processing Systems Conference (NeurIPS), 2019. Download: [not available] Back to Top Journal Publications Non-exhaustive, Overlapping Clustering J. Whang, Y. Hou, D. Gleich, and I. S. Dhillon IEEE Transactions on Pattern Analysis and Machine Intelligence(PAMI), vol. 40:11, pages 2644-2659, 2019. Download: [not available] Using Side Information to Reliably Learn Low-Rank Matrices from Missing and Corrupted Observations K.-Y. Chiang, C.-J. Hsieh, and I. S. Dhillon Journal of Machine Learning Research (JMLR), vol. 19, pages 1-35, 2018. Download: [pdf] Cost-Sensitive Learning with Noisy Labels N. Natarajan, I. S. Dhillon, P. Ravikumar, and A. Tewari Journal of Machine Learning Research (JMLR), vol. 18, pages 1-33, 2018. Download: [pdf] Partial Hard Thresholding P. Jain, I. S. Dhillon, A. Tewari IEEE Transactions on Information Theory (IT), vol. 63:5, pages 3029-3038, 2017. Download: [pdf] Memory Efficient Kernel Approximation S. Si, C.-J. Hsieh, and I. S. Dhillon Journal of Machine Learning Research (JMLR), vol. 18:20, pages 1-32, 2017. Download: [pdf] Clustered Matrix Approximation B. Savas and I. S. Dhillon SIAM Journal of Matrix Analysis and Applications(SIMAX), vol. 37:4, pages 1531-1555, 2016. Download: [pdf] Effcient and Non-Convex Coordinate Descent for Symmetric Nonnegative Matrix Factorization A. Vandaele, N. Gillis, Q. Lei, K. Zhong, and I. S. Dhillon IEEE Transactions on Signal Processing (TSP), vol. 64:21, pages 5571-5581, 2016. Download: [pdf] Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion J. Whang, D. Gleich and, I. S. Dhillon IEEE Transactions on Knowledge and Data Engineering (TKDE), pages 1272-1284, 2016. Download: [pdf] Nomadic Computing for Big Data Analytics H.-F. Yu, C.-J. Hsieh, H. Yun, S.V.N Vishwanathan, and I. S. Dhillon IEEE Computer, vol. 49:4, pages 52-60, 2016. Download: [pdf] NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion H. Yun, H.-F. Yu, C.-J. Hsieh, S.V.N. Vishwanathan, and I. S. Dhillon Proceedings of the VLDB Endowment, vol. 7:11, pages 975-986, July 2014. Download: [pdf] Inductive matrix completion for predicting gene-disease associations N. Natarajan, and I. S. Dhillon Bioinformatics, vol. 30:12, pages 60-68, 2014. Download: [pdf] QUIC: Quadratic Approximation for Sparse Inverse Covariance Matrix Estimation C.-J. Hsieh, M. Sustik, I. S. Dhillon, and P. Ravikumar Jounal of Machine Learning Research (JMLR), vol. 15, pages 2911-2947, 2014. Download: [pdf] Parallel Matrix Factorization for Recommender Systems H.-F. Yu, C.-J. Hsieh, S. Si, and I. S. Dhillon Knowledge and Information Systems(KAIS), vol. 41:3, pages 793-891, 2014. Download: [pdf] Prediction and Clustering in Signed Networks: A Local to Global Perspective K.-Y. Chiang, C. Hsieh, N. Natarajan, A Tewari, and I. Dhillon Journal of Machine Learning Research (JMLR), vol. 15, pages 1177-1213, March 2014. Download: [pdf] Prediction and Validation of Gene-Disease Associations using Methods Inspired by Social Network Analyses U. Singh Blom, N. Natarajan, A. Tewari, J. Woods, I. S. Dhillon, and E. M. Marcotte PLoS ONE 8(5): e58977, May 2013. Download: [pdf] On a Zero-Finding Problem involving the Matrix Exponential M. Sustik and I. S. Dhillon SIAM Journal of Matrix Analysis and Applications, vol. 33:4, pages 1237-1249, 2012 Download: [pdf] A Non-monotonic Method for Large-scale Nonnegative Least Squares D. Kim, S. Sra, and I. S. Dhillon Optimization Methods and Software, vol. 28:5, pages 1012-1039, 2012. Download: [pdf] Metric and Kernel Learning using a Linear Transformation P. Jain, B. Kulis, J. Davis, and I. S. Dhillon Journal of Machine Learning Research(JMLR), vol. 13, pages 519-547, March 2012. Download: [pdf] Scalable Affiliation Recommendation using Auxiliary Networks V. Vasuki, N. Natarajan, Z. Lu, B. Savas, and I. S. Dhillon ACM Transactions on Intelligent Systems and Technology (TIST), vol. 3, No. 1, Article 3, October 2011. Download: [pdf] Tackling Box-Constrained Optimization Via a New Projected Quasi-Newton Approach D. Kim, S. Sra, and I. S. Dhillon SIAM Journal on Scientific Computing, vol. 32:6, pages 3548-3563, December 2010. Download: [pdf] Low-Rank Kernel Learning with Bregman Matrix Divergences B. Kulis, M. Sustik, and I. S. Dhillon Journal of Machine Learning Research (JMLR), vol. 10, pages 341-376, February 2009. Download: [pdf] Semi-Supervised Graph Clustering: A Kernel Approach B. Kulis, S. Basu, I. S. Dhillon, and R. J. Mooney Machine Learning, vol. 74:1, pages 1-22, January 2009. Download: [pdf] Simultaneous Unsupervised Learning of Disparate Clusterings P. Jain, R. Meka, and I. S. Dhillon Statistical Analysis and Data Mining, vol. 1:3, pages 195-210, November 2008. Download: [pdf] Constructing Packings in Grassmannian Manifolds via Alternating Projections I. S. Dhillon, R. W. Heath Jr., T. Strohmer, and J. A. Tropp Experimental Mathematics, vol. 17:1, pages 9-35, 2008. Download: [pdf] Co-clustering of Human Cancer Microarrays using Minimum Sum-Squared Residue Co-clustering H. Cho and I. S. Dhillon IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol. 5:3, pages 385-400, July 2008. Download: [pdf] The Metric Nearness Problem J. Brickell, I. S. Dhillon, S. Sra, and J. A. Tropp SIAM Journal on Matrix Analysis and Applications, vol. 30:1, pages 375-396, April 2008. Download: [pdf] Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem D. Kim, S. Sra, and I. S. Dhillon Statistical Analysis and Data Mining, vol. 1:1, pages 38-51, February 2008. Download: [pdf] Matrix Nearness Problems with Bregman Divergences I. S. Dhillon and J. A. Tropp SIAM Journal on Matrix Analysis and Applications, vol. 29:4, pages 1120-1146, November 2007. Download: [pdf] Weighted Graph Cuts without Eigenvectors: A Multilevel Approach I. S. Dhillon, Y. Guan, and B. Kulis IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 29:11, pages 1944-1957, November 2007. Download: [pdf] On the Existence of Equiangular Tight Frames M. A. Sustik, J. A. Tropp, I. S. Dhillon, and R. W. Heath Jr. Linear Algebra and its Applications, vol. 426:2-3, pages 619-635, October 2007. Download: [pdf] (A previous version appears as UTCS Technical Report #TR-04-32, August 2004. [Abstract & Download]) A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximations A. Banerjee, I. S. Dhillon, J. Ghosh, S. Merugu, and D. S. Modha Journal of Machine Learning Research (JMLR), vol. 8, pages 1919-1986, August 2007. Download: [pdf] The Design and Implementation of the MRRR Algorithm I. S. Dhillon, B. N. Parlett, and C. Vömel ACM Transactions on Mathematical Software, vol. 32:4, pages 533-560, December 2006. Download: [pdf] Glued Matrices and the MRRR Algorithm I. S. Dhillon, B. N. Parlett, and C. Vömel SIAM Journal on Scientific Computing, vol. 27:2, pages 496-510, October 2005. Download: [pdf] Clustering with Bregman Divergences A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh Journal of Machine Learning Research (JMLR), vol. 6, pages 1705-1749, October 2005. Download: [pdf] Clustering on the Unit Hypersphere using von Mises-Fisher Distributions A. Banerjee, I. S. Dhillon, J. Ghosh, and S. Sra Journal of Machine Learning Research (JMLR), vol. 6, pages 1345-1382, September 2005. Download: [pdf] A Parallel Eigensolver for Dense Symmetric Matrices based on Multiple Relatively Robust Representations P. Bientinesi, I. S. Dhillon, and R. A. van de Geijn SIAM Journal on Scientific Computing, vol. 27:1, pages 43-66, September 2005. Download: [pdf] (Also appears as UTCS Technical Report #TR-03-26, July 2003. [Abstract & Download]) Generalized Finite Algorithms for Constructing Hermitian Matrices with Prescribed Diagonal and Spectrum I. S. Dhillon, R. W. Heath Jr., M. A. Sustik, and J. A. Tropp SIAM Journal on Matrix Analysis and Applications, vol. 27:1, pages 61-71, June 2005. Download: [pdf] (Also appears as UTCS Technical Report #TR-03-49, December 2003. [Abstract & Download]) Designing Structured Tight Frames Via an Alternating Projection Method J. A. Tropp, I. S. Dhillon, R. W. Heath Jr., and T. Strohmer IEEE Transactions on Information Theory, vol. 51:1, pages 188-209, January 2005. Download: [pdf] (Also appears as ICES Report 03-50, UT, December 2003. [Abstract & Download]) Finite-Step Algorithms for Constructing Optimal CDMA Signature Sequences J. A. Tropp, I. S. Dhillon, and R. W. Heath Jr. IEEE Transactions on Information Theory, vol. 50:11, pages 2916-2921, November 2004. Download: [pdf] (Also appears as WNCG-TR-2003-05-08, UT, June 2003. [Abstract & Download]) Multiple Representations to Compute Orthogonal Eigenvectors of Symmetric Tridiagonal Matrices I. S. Dhillon and B. N. Parlett Linear Algebra and its Applications, vol. 387, pages 1-28, August 2004. Download: [pdf] Orthogonal Eigenvectors and Relative Gaps I. S. Dhillon and B. N. Parlett SIAM Journal on Matrix Analysis and Applications, vol. 25:3, pages 858-899, March 2004. Download: [pdf] Diametrical Clustering for identifying Anti-Correlated Gene Clusters I. S. Dhillon, E. M. Marcotte, and U. Roshan Bioinformatics, vol. 19:13, pages 1612-1619, September 2003. Download: [pdf] (Also appears as UTCS Technical Report #TR-02-49, September 2002. [Abstract & Download]) A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification I. S. Dhillon, S. Mallela, and R. Kumar Journal of Machine Learning Research (JMLR), vol. 3, pages 1265-1287, March 2003. Download: [pdf] Inner deflation of Symmetric, Tridiagonal Matrices I. S. Dhillon and A. N. Malyshev Linear Algebra and its Applications, vol. 358:1-3, pages 139-144, January 2003. Download: [pdf] Class Visualization of High-Dimensional Data with Applications I. S. Dhillon, D. S. Modha, and W. S. Spangler Computational Statistics & Data Analysis (Special issue on Matrix Computations & Statistics), vol. 4:1, pages 59-90, November 2002. Download: [pdf] Software is available here. Concept Decompositions for Large Sparse Text Data using Clustering I. S. Dhillon and D. S. Modha Machine Learning, vol. 42:1, pages 143-175, January 2001. [Abstract] Download: [pdf] (An earlier version appears as IBM Research Report RJ 10147, July 8, 1999.) Relatively Robust Representations for Symmetric Tridiagonals B. N. Parlett and I. S. Dhillon Linear Algebra and its Applications, vol. 309, pages 121-151, April 2000. Download: [pdf] Current inverse teration software can fail I. S. Dhillon BIT Numerical Mathematics, 38:4, pages 685-704, December 1998. Download: [pdf] Reliable Computation of the Condition Number of a Tridiagonal Matrix in O(n) Time I. S. Dhillon SIAM Journal on Matrix Analysis and Applications, vol. 19:3, pages 776-796, July 1998. Download: [pdf] Fernando's Solution to Wilkinson's Problem: An Application of Double Factorization B. N. Parlett and I. S. Dhillon Linear Algebra and its Applications, vol. 267, pages 247-279, 1997. Download: [pdf] Practical Experience in the Numerical Dangers of Heterogeneous Computing L. Blackford, A. Cleary, J. Demmel, I. S. Dhillon, J. Dongarra, S. Hammarling, A. Petitet, H. Ren, K. Stanley, and R. Whaley ACM Transactions on Mathematical Software, vol. 23:2, pages 133-147, June 1997. Download: [pdf] ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance J. Choi, J. Demmel, I. S. Dhillon, J. Dongarra, S. Ostrouchov, A. Petitet, K. Stanley, D. Walker, and R. C. Whaley Computer Physics Communications, vol. 97, pages 1-15, August 1996. Download: [pdf] (Also appears as LAPACK Working Note 95.) On the Correctness of Some Bisection-like Parallel Algorithms in Floating Point Arithmetic J. W. Demmel, I. S. Dhillon, and H. Ren Electronic Transactions of Numerical Analysis (ETNA), vol. 3, pages 116-140, December 1995. Download: [pdf] Back to Top Conference Publications Similarity Preserving Representation Learning for Time Series Analysis Q. Lei, J. Yi, R. Vaculin, L. Wu, and I. S. Dhillon Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), pages 2845-2851, 2019. Download: [pdf] The Limitations of Adversarial Training and the Blind-Spot Attack H. Zhang, H. Chen, Z. Song, D. Boning, I.S. Dhillon, and C.-J. Hsieh The 7th International Conference on Learning Representations (ICLR), 2019. Download: [pdf] Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables H.F. Yu, C.-J. Hsieh, and I. S. Dhillon Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), pages 2641-2649, 2019. Download: [pdf] Extreme Stochastic Variational Inference: Distributed Inference for Large Scale Mixture Models J. Zhang, P. Raman, S. Ji, H.F. Yu, S.V.N. Vishwanathan, and I. S. Dhillon Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), pages 935–943, 2019. Download: [pdf] Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification Q. Lei, L. Wu, P.-Y. Chen, A. Dimakis, I. S. Dhillon, and M. Witbrock Proceedings of the 2nd Conference on Systems and Machine Learning (SysML), 2019. Download: [pdf] Online Embedding Compression for Text Classification using Low Rank Matrix Factorization A. Acharya, R. Goel, A. Metallinou, and I. S. Dhillon Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI), pages 6196–6203, 2019. Download: [pdf] Stabilizing Gradients for Deep Neural Networks via Effcient SVD Parameterization J. Zhang, Q. Lei and I. S. Dhillon Proceedings of the 35th International Conference on Machine Learning(ICML), pages 5801-5809, 2018. Download: [pdf] Learning Long Term Dependencies via Fourier Recurrent Units J. Zhang, Y. Lin, Z. Song and I. S. Dhillon Proceedings of the 35th International Conference on Machine Learning(ICML), pages 5810-5818, 2018. Download: [pdf] Towards Fast Computation of Certified Robustness for ReLU Networks T.-W. Weng, H. Zhang, H. Chen, Z. Song, C.-J. Hsieh, D. Boning, I. S. Dhillon, and L. Daniel Proceedings of the 35th International Conference on Machine Learning(ICML), pages 5273-5282, 2018. Download: [pdf] A Greedy Approach for Budgeted Maximum Inner Product Search H.-F. Yu, C.-J. Hsieh, Q. Lei, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), 2017. Download: [pdf] Non-Exhaustive, Overlapping Co-clustering J. Whang and I. S. Dhillon Proceedings of the 2017 ACM Conference on Information and Knowledge Management (CIKM), pages 2367-2370, 2017. Download: [pdf] PPDsparse: A Parallel Primal-Dual Sparse Method for Extreme Classification I. Yen, X. Huang, W. Dai, P. Ravikumar, I. S. Dhillon, and E. Xing Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 545-553, 2017. Download: [pdf] Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines C.-J. Hsieh, S. Si, and I. S. Dhillon Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 245-254, 2017. Download: [pdf] Recovery Guarantees for One-hidden-layer Neural Networks K. Zhong, Z. Song, P. Jain, P. Bartlett, and I. S. Dhillon Proceedings of the 34th International Conference on Machine Learning (ICML), pages 4140-4149, 2017. Download: [pdf][ArXiv] Gradient Boosted Decision Trees for High Dimensional Sparse Output S. Si, H. Zhang, S. Keerthi, D. Mahajan, I. S. Dhillon, and C.-J. Hsieh Proceedings of the 34th International Conference on Machine Learning (ICML), pages 3182-3290, 2017. Download: [pdf] Doubly Greedy Primal-Dual Coordinate Methods for Sparse Empirical Rist Minimization Q. Lei, I. Yen, C.-Y. Wu, I. S. Dhillon, and P. Ravikumar Proceedings of the 34th International Conference on Machine Learning (ICML), pages 2034-2042, 2017. Download: [pdf] Fast Classification with Binary Prototypes K. Zhong, R. Guo, S. Kumar, B. Yan, D. Simcha, and I. S. Dhillon Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: W&CP 54, pages 1255-1263, 2017. Download: [pdf] Rank Aggregation and Prediction with Item Features K.-Y. Chiang, C.-J. Hsieh, and I. S. Dhillon Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: W&CP 54, pages 748-756, 2017. Download: [pdf] Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain X. Huang, I. Yen, R. Zhang, Q. Huang, P. Ravikumar, and I. S. Dhillon Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: W&CP 54, pages 1550-1559, 2017. Download: [pdf] Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition J. Zhang, I. Yen, P. Ravikumar, and I. S. Dhillon Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR: W&CP 54, pages 1514-1522, 2017. Download: [pdf] A Unified Algorithm for One-class Structured Matrix Factorization with Side Information H.-F. Yu, H.-Y. Huang, I. S. Dhillon, and C.-J. Lin Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI), pages 2845-2851, 2017. Download: [pdf] Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction H.-F. Yu, N. Rao, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 847-855, 2016. Download: [pdf] Structured Sparse Regression via Greedy Hard Thresholding P. Jain, N. Rao, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 1516-1524, 2016. Download: [pdf] Coordinate-wise Power Method Q. Lei, K. Zhong, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 2056-2064, 2016. Download: [pdf] Mixed Linear Regression with Multiple Components K. Zhong, P. Jain, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 2190-2198, 2016. Download: [pdf] Asynchronous Parallel Greedy Coordinate Descent Y. You, X. Lian, C.-J. Hsieh, J. Liu, H.-F. Yu, I. S. Dhillon, and J. Demmel Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 4682-4690, 2016. Download: [pdf] Dual Decomposed Learning with Factorwise Oracle for Structural SVMs of Large Output Domain I. Yen, X. Huang, K. Zhong, Z. Ruohan, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 5024-5032, 2016. Download: [pdf] Goal-Directed Inductive Matrix Completion S. Si, K.-Y. Chiang, C.-J. Hsieh, N. Rao and I. S. Dhillon Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 1165-1174, 2016. Download: [pdf] Optimal Classiffcation with Multivariate Losses N. Natarajan, O. Koyejo, P. Ravikumar, and I. S. Dhillon Proceedings of the 33rd International Conference on Machine Learning (ICML), pages 1530-1538, 2016. Download: [pdf] Computationally Efficient Nyström Approximation using Fast Transforms S. Si, C.-J. Hsieh, and I. S. Dhillon Proceedings of the 33rd International Conference on Machine Learning (ICML), pages 2655-2663, 2016. Download: [pdf] Robust Principal Component Analysis with Side Information K.-Y. Chiang, C.-J. Hsieh, and I. S. Dhillon Proceedings of the 33rd International Conference on Machine Learning (ICML), pages 2291-2299, 2016. Download: [pdf] PD-Sparse: A Primal and Dual Sparse Approach to Extreme Classiffication I. Yen, X. Huang, K. Zhong, P. Ravikumar, and I. S. Dhillon Proceedings of the 33rd International Conference on Machine Learning (ICML), pages 3069-3077, 2016. Download: [pdf] A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery I. Yen, X. Lin, J. Zhang, P. Ravikumar, and I. S. Dhillon Proceedings of the 33rd International Conference on Machine Learning (ICML), pages 2272-2280, 2016. Download: [pdf] Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies D. Inouye, P. Ravikumar, and I. S. Dhillon Proceedings of the 33rd International Conference on Machine Learning (ICML), pages 2445-2453, 2016. Download: [pdf] Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering Y. Hou, J. Whang, D. Gleich, and I. S. Dhillon Proceedings of the 2016 SIAM International Conference on Data Mining (SDM), pages 297-305, 2016. Download: [pdf] Matrix Completion with Noisy Side Information K.-Y. Chiang, C.-J. Hsieh, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 3447-3455, 2015. Download: [pdf] Consistent Multilabel Classification O. Koyejo, N. Natarajan, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 3321-3329, 2015. Download: [pdf] Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial D. Inouye, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 3213-3221, 2015. Download: [pdf] Collaborative Filtering with Graph Information: Consistency and Scalable Methods N. Rao, H.-F. Yu, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 2107-2115, 2015. Download: [pdf] Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent I. Yen, K. Zhong, C.-J. Hsieh, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 2368-2376, 2015. Download: [pdf] Tumblr Blog Recommendation with Boosted Inductive Matrix Completion K. Lee and I. S. Dhillon Proceedings of the 24th ACM Conference on Information and Knowledge Management(CIKM), pages 203-212, 2015. Download: [pdf] Efficient Matrix Sensing using Rank-1 Gaussian Measurements K. Zhong, P. Jain, and I. S. Dhillon Proceedings of the 26th International Conference on Algorithmic Learning Theory(ALT), pages 3-18, 2015. Download: [pdf] Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming Y. Hou, J. Whang, I. S. Dhillon, and D. Gleich Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD), pages 427-436, 2015. Download: [pdf] Scalable Data-driven PageRank: Algorithms, System Issues & Lessons Learned J. Whang, A. Lenharth, and I. S. Dhillon International European Conference on Parallel and Distributed Computing(Euro-Par), pages 438-450, 2015. Download: [pdf] PASSCoDe: Parallel ASynchronous Stochastic dual Coordinate Descent C.-J. Hsieh, H.-F. Yu, and I. S. Dhillon Proceedings of the 32nd International Conference on Machine Learning(ICML), pages 2370-2379, 2015. Download: [pdf] PU Learning for Matrix Completion C.-J. Hsieh, N. Natarajan, and I. S. Dhillon Proceedings of the 32nd International Conference on Machine Learning(ICML), pages 2445-2453, 2015. Download: [pdf] A Convex Examplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models I. Yen, K. Zhong, J. Lin, P. Ravikumar, and I. S. Dhillon Proceedings of the 32nd International Conference on Machine Learning(ICML), pages 2418-2426, 2015. Download: [pdf] Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons D. Park, J. Neeman, J. Zhang, S. Sanghavi, and I. S. Dhillon Proceedings of the 32nd International Conference on Machine Learning(ICML), pages 1907-1916, 2015. Download: [not available] A Scalable Asynchronous Distributed Algorithm for Topic Modeling H.-F. Yu, C.-J. Hsieh, H. Yun, S.V.N. Vishwanathan, and I. S. Dhillon Proceedings of the 24th International World Wide Web Conference(WWW), pages 1340-1350, 2015. Download: [pdf] Non-exhaustive, Overlapping k-means J. Whang, I. S. Dhillon, and D. Gleich Proceedings of the 2015 SIAM International Conference on Data Mining(SDM), pages 936-944, 2015. Download: [pdf] Clustering to Forecast Sparse Time-Series Data A. Jha, S. Ray, B. Seaman, and I. S. Dhillon Proceedings of the International Conference on Data Engineering (ICDE), pages 1388-1399, 2015. Download: [pdf] QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models C.-J. Hsieh, I. S. Dhillon, P. Ravikumar, S. Becker, and P. Olsen Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 2006-2014, 2014. Download: [pdf] Fast Prediction for Large-Scale Kernel Machines C.-J. Hsieh, S. Si, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 3689-3697, 2014. Download: [pdf] Multi-Scale Spectral Decomposition of Massive Graphs S. Si, D. Shin, I. S. Dhillon, and B. Parlett Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 2798-2806, 2014. Download: [pdf] Consistent Binary Classification with Generalized Performance Metrics N. Natarajan, O. Koyejo, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 2744-2752, 2014. Download: [pdf] Proximal Quasi-Newton for Computationally Intensive l1-regularized M-estimators K. Zhong, I. Yen, I. S. Dhillon, and P. Ravikumar Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 2375-2383, 2014. Download: [pdf] Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings I. Yen, C.-J. Hsieh, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 1008-1016, 2014. Download: [pdf] Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space I. Yen, T. Lin, S. Lin, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 2456-2464, 2014. Download: [pdf] Capturing Semantically Meaningful Word Dependencies with an Admixture of Poisson MRFs D. Inouye, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 3158-3166, 2014. Download: [pdf] A Divide-and-Conquer Solver for Kernel Support Vector Machines C.-J. Hsieh, S. Si, and I. S. Dhillon Proceedings of the 31st International Conference on Machine Learning (ICML), pages 566-574, 2014. Download: [pdf] Large-scale Multi-label Learning with Missing Labels H.-F. Yu, P. Jain, P. Kar, and I. S. Dhillon Proceedings of the 31st International Conference on Machine Learning (ICML), pages 593-601, 2014. Download: [pdf] Memory Efficient Kernel Approximation S. Si, C.-J. Hsieh, and I. S. Dhillon Proceedings of the 31st International Conference on Machine Learning (ICML), pages 701-709, 2014. Download: [pdf] Admixtures of Poisson MRFs: A Topic Model with Word Dependencies D. Inouye, P. Ravikumar, and I. S. Dhillon Proceedings of the 31st International Conference on Machine Learning (ICML), pages 683-691, 2014. Download: [pdf] BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables C.-J. Hsieh, M. Susik, I. S. Dhillon, P. Ravikumar, and R. Poldrack Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 3165-3173, December 2013. Download: [pdf] Learning with Noisy Labels N. Natarajan, I. S. Dhillon, P. Ravikumar, and A. Tewari Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 1196-1204, December 2013. Download: [pdf] Large Scale Distributed Sparse Precision Estimation H. Wang, C.-J. Hsieh, A. Banerjee, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 584-592, December 2013. Download: [pdf] Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing J. Whang, P. Rai, and I. S. Dhillon Proceedings of the IEEE International Conference on Data Mining(ICDM), pages 817-826, December 2013. Download: [pdf] Overlapping Community Detection Using Seed Set Expansion J. Whang, D. Gleich, and I. S. Dhillon Proceedings of the 22nd ACM Conference on Information and Knowledge Management(CIKM), pages 2099-2108, October 2013. Download: [pdf] Which app will you use next? Collaborative Filtering with Interactional Context N. Natarajan, D. Shin, and I. S. Dhillon Proceedings of the 7th ACM Conference on Recommender Systems(RecSys), pages 201-208, October 2013. Download: [pdf] A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation C.-J. Hsieh, I. S. Dhillon, P. Ravikumar, and A. Banerjee Proceedings of the Neural Information Processing Systems Conference(NIPS), pages 2339-2347, December 2012. Download: [pdf] Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems H.-F. Yu, C.-J. Hsieh, S. Si, and I. S. Dhillon Proceedings of the IEEE International Conference on Data Mining(ICDM), pages 765-774, December 2012. Download: [pdf] Scalable and Memory-Efficient Clustering of Large-Scale Social Networks J. Whang, X. Sui, and I. S. Dhillon Proceedings of the IEEE International Conference on Data Mining(ICDM), pages 705-714, December 2012. Download: [pdf] Multi-Scale Link Prediction D. Shin, S. Si, and I. S. Dhillon Proceedings of the 21st ACM Conference on Information and Knowledge Management(CIKM), pages 215-224, October 2012. Download: [pdf] Scalable Clustering of Signed Networks using Balance Normalized Cut K.-Y. Chiang, J. Whang, and I. S. Dhillon Proceedings of the 21st ACM Conference on Information and Knowledge Management(CIKM), pages 615-624, October 2012. Download: [pdf] Parallel Clustered Low-rank Approximation of Graphs and Its Application to Link Prediction X. Sui, T. Lee, J. Whang, B. Savas, S. Jain, K. Pingali, and I. S. Dhillon Proceedings of the 25th International Workshop on Languages and Compilers for Parallel Computing (LCPC), pages 76-95, October 2012. Download: [pdf] Low-Rank Modeling of Signed Networks C.-J. Hsieh, K.-Y. Chiang, and I. S. Dhillon Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD), pages 507-515, August 2012. Download: [pdf] Clustered Embedding of Massive Social Networks H. Song, B. Savas, T. Cho, V. Dave, Z. Lu, I. S. Dhillon, Y. Zhang, and L. Qiu Proceedings of ACM SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, pages 331-342, June 2012. Download: [pdf] Orthogonal Matching Pursuit with Replacement P. Jain, A. Tewari, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), December 2011. Download: [pdf] Greedy Algorithms for Structurally Constrained High Dimensional Problems A. Tewari, P. Ravikumar, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), December 2011. Download: [pdf] Nearest Neighbor based Greedy Coordinate Descent I. S. Dhillon, P. Ravikumar, and A. Tewari Proceedings of the Neural Information Processing Systems Conference (NIPS), December 2011. Download: [pdf] Sparse Inverse Covariance Matrix Estimation using Quadratic Approximation C.-J. Hsieh, M. Sustik, I. S. Dhillon, and P. Ravikumar Proceedings of the Neural Information Processing Systems Conference (NIPS), December 2011. Download: [pdf] Scalable Affiliation Recommendation using Auxiliary Networks V. Vasuki, N. Natarajan, Z. Lu, B. Savas, and I. S. Dhillon ACM Transactions on Intelligent Systems and Technology (TIST), vol. 3, No. 1, Article 3, October 2011. Download: [pdf] Exploiting Longer Walks for Link Prediction in Signed Network K.-Y. Chiang, I. S. Dhillon, N. Natarajan, and A. Tewari Proceedings of the 20th ACM SIGKDD Conference on Information and Knowledge Management(CIKM), pages 1157-1162, October 2011. Download: [pdf] Fast Coordinate Descent Methods with Variable Selection for Non-negative Matrix Factorization C.-J. Hsieh and I. S. Dhillon Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD), pages 1064-1072, August 2011. Download: [pdf] Clustered Low Rank Approximation of Graphs in Information Science Applications B. Savas and I. S. Dhillon Proceedings of the 2011 SIAM International Conference on Data Mining, pages 164-175, April 2011. Download: [pdf] Supervised Link Prediction Using Multiple Sources Z. Lu, B. Savas, W. Tang, and I. S. Dhillon Proceedings of the IEEE International Conference on Data Mining (ICDM), pages 923-928, December 2010. Download: [pdf] Tackling Box-Constrained Optimization Via a New Projected Quasi-Newton Approach D. Kim, S. Sra, and I. S. Dhillon SIAM Journal on Scientific Computing, vol. 30:6, pages 3548-3563, December 2010. Download: [pdf] Guaranteed Rank Minimization via Singular Value Projection R. Meka, P. Jain, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 937-945, December 2010. Download: [pdf] Inductive Regularized Learning of Kernel Functions P. Jain, B. Kulis, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 946-954, December 2010. Download: [pdf] Affiliation Recommendation using Auxiliary Networks V. Vasuki, N. Natarajan, Z. Lu, and I. S. Dhillon Proceedings of the 4th ACM Conference on Recommender Systems (RecSys), pages 103-110, September 2010. Download: [pdf] A Scalable Trust-region Algorithm with Application to Mixed-Norm Regression D. Kim, S. Sra, and I. S. Dhillon Proceedings of the 27th International Conference on Machine Learning(ICML), pages 519-526, June 2010. Download: [pdf] Matrix Completion from Power-Law Distributed Samples R. Meka, P. Jain, and I. S. Dhillon Proceedings of the Neural Information Processing Systems Conference (NIPS), December 2009. Download: [pdf] Clustering with Multiple Graphs W. Tang, Z. Lu, and I. S. Dhillon Proceedings of the IEEE International Conference on Data Mining (ICDM), December 2009. Download: [pdf] A Spatio-Temporal Approach to Collaborative Filtering Z. Lu, D. Agarwal, and I. S. Dhillon Proceedings of the 3rd ACM Conference on Recommender Systems(RecSys), October 2009. Download: [pdf] A New Non-monotonic Algorithm for PET image reconstruction S. Sra, D. Kim, I. S. Dhillon, and B. Schölkopf IEEE Medical Imaging Conference (MIC), October 2009. Download: [not available] Geometry-aware Metric Learning Z. Lu, P. Jain and I. S. Dhillon Proceedings of the 26th International Conference on Machine Learning(ICML), June 2009. Download: [pdf] A Scalable Framework for Discovering Coherent Co-clusters in Noisy Data M. Deodhar, J. Ghosh, G. Gupta, H. Cho, and I. S. Dhillon Proceedings of the 26th International Conference on Machine Learning(ICML), June 2009. Download: [pdf] Convex Perturbations for Scalable Semidefinite Programming B. Kulis, S. Sra, and I. S. Dhillon Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS), April 2009. Download: [pdf] Online Metric Learning and Fast Similarity Search P. Jain, B. Kulis, I. S. Dhillon, and K. Grauman Proceedings of the Neural Information Processing Systems Conference (NIPS), December 2008. Download: [pdf] Structured Metric Learning for High-Dimensional Problems J. Davis and I. S. Dhillon Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 2008. Download: [pdf] Rank Minimization via Online Learning P. Jain, R. Meka, C. Caramanis, and I. S. Dhillon Proceedings of the Twenty-Fifth International Conference on Machine Learning (ICML), July 2008. Download: [pdf] Simultaneous Unsupervised Learning of Disparate Clusterings P. Jain, R. Meka, and I. S. Dhillon Proceedings of the Seventh SIAM International Converence on Data Mining, pages 858-869, April 2008. Download: [pdf] Information-Theoretic Metric Learning J. V. Davis, B. Kulis, P. Jain, S. Sra, and I. S. Dhillon Proceedings of the the Twenty-Fourth International Conference on Machine Learning (ICML), pages 209-216, June 2007. Download: [pdf] Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem D. Kim, S. Sra, and I. S. Dhillon Proceedings of the Sixth SIAM International Conference on Data Mining, pages 343-354, April 2007. Download: [pdf] Differential Entropic Clustering of Multivariate Gaussians J. Davis and I. S. Dhillon Nineteenth Annual Conference on Neural Information Processing Systems (NIPS), pages 337-344, December 2006. Download: [pdf] Estimating the Global PageRank of Web Communities J. Davis and I. S. Dhillon Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 116-125, August 2006. Download: [ pdf] Learning Low-Rank Kernel Matrices B. Kulis, M. A. Sustik, and I. S. Dhillon Proceedings of the Twenty-third International Conference on Machine Learning (ICML), pages 505-512, July 2006. Download: [ pdf] Generalized Nonnegative Matrix Approximations with Bregman Divergences I. S. Dhillon and S. Sra Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 283-290, Vancouver Canada, December 2005. Download: [pdf] (Also appears as UTCS Technical Report #TR-05-31, June 1, 2005. [Abstract & Download]) A Fast Kernel-based Multilevel Algorithm for Graph Clustering I. S. Dhillon, Y. Guan, and B. Kulis Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 629-634, August 2005. Download: [pdf] Semi-supervised Graph Clustering: A Kernel Approach B. Kulis, S. Basu, I. S. Dhillon, and R. J. Mooney Proceedings of the Twenty-second International Conference on Machine Learning (ICML), pages 457-464, July 2005. Download: [pdf] Triangle Fixing Algorithms for the Metric Nearness Problem I. S. Dhillon, S. Sra, and J. A. Tropp Eighteenth Annual Conference on Neural Information Processing Systems (NIPS), pages 361-368, December 2004. Download: [pdf] (Also appears as UTCS Technical Report #TR-04-22, June 2004. [Abstract & Download]) Construction of Equiangular Signatures for Synchronous CDMA Systems R. W. Heath Jr., J. A. Tropp, I. S. Dhillon, and T. Strohmer Proceedings of IEEE International Symposium on Spread Spectrum Techniques and Applications, August 2004. Download: [pdf] Optimal CDMA Signatures: A Finite-Step Approach J. A. Tropp, I. S. Dhillon, and R. W. Heath Jr. Proceedings of IEEE International Symposium on Spread Spectrum Techniques and Applications, August 2004. Download: [pdf] Kernel k-means, Spectral Clustering and Normalized Cuts I. S. Dhillon, Y. Guan, and B. Kulis Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 551-556, August 2004. Download: [pdf] (A longer version appears as UTCS Technical Report #TR-04-25, June 30, 2004. [Abstract & Download]) A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximations A. Banerjee, I. S. Dhillon, J. Ghosh, S. Merugu, and D. S. Modha Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 509-514, August 2004. Download: [pdf] (A longer version appears as UTCS Technical Report #TR-04-24, September 2004. [Abstract & Download]) An Information Theoretic Analysis of Maximum Likelihood Mixture Estimation for Exponential Families A. Banerjee, I. S. Dhillon, J. Ghosh, and S. Merugu Proceedings of the Twenty-First International Conference on Machine Learning (ICML), pages 57-64, July 2004 Download: [pdf] Clustering with Bregman Divergences A. Banerjee, S. Merugu, I. S. Dhillon, and J. Ghosh Proceedings of the Fourth SIAM International Conference on Data Mining, pages 234-245, April 2004 Download: [pdf] Minimum Sum-Squared Residue Co-clustering of Gene Expression Data H. Cho, I. S. Dhillon, Y. Guan, and S. Sra Proceedings of the Fourth SIAM International Conference on Data Mining, pages 114-125, April 2004 Download: [pdf] CDMA Signature Sequences with Low Peak-To-Average Ratio via Alternating Projection J. A. Tropp, I. S. Dhillon, R. W. Heath Jr., and T. Strohmer Proceedings of the Thirty-Seventh IEEE Asilomar Conference on Signals, Systems, and Computers, pages 475-479, November 2003. Download: [pdf] Information Theoretic Clustering of Sparse Co-Occurrence Data I. S. Dhillon and Y. Guan Proceedings of the Third IEEE International Conference on Data Mining, pages 517-520, November 2003 Download: [pdf] (A longer version appears as UTCS Technical Report #TR-03-39, September 2003. [Abstract & Download]) (Also appears as "Clustering Large and Sparse Co-Occurrence Data", Workshop on Clustering High-Dimensional Data and its Applications at the Third SIAM International Conference on Data Mining, May 2003. Download: [pdf]) Information-Theoretic Co-clustering I. S. Dhillon, S. Mallela, and D. S. Modha Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 89-98, August 2003. Download: [pdf] (Also appears as UTCS Technical Report #TR-03-12, April 2003. [Abstract & Download]) Generative Model-based Clustering of Directional Data A. Banerjee, I. S. Dhillon, J. Ghosh, and S. Sra Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 19-28, August 2003. Download: [pdf] Iterative Clustering of High Dimensional Text Data Augmented by Local Search I. S. Dhillon, Y. Guan, and J. Kogan Proceedings of the 2nd IEEE International Conference on Data Mining, pages 131-138, Maebishi, Japan, December 2002. Download: [pdf] Enhanced Word Clustering for Hierarchical Text Classification I. S. Dhillon, S. Mallela, and R. Kumar Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), July 2002. Download: [pdf] (Also appears as UTCS Technical Report #TR-02-17, March 2002. [Abstract & Download]) Refining Clusters in High-dimensional Text Data I. S. Dhillon, Y. Guan, and J. Kogan 2nd SIAM International Conference on Data Mining (Workshop on Clustering High-Dimensional Data and its Applications), April 2002. Download: [pdf] (Also appears as UTCS Technical Report # TR-02-03, January 2002. [Abstract & Download]) Co-clustering Documents and Words Using Bipartite Spectral Graph Partitioning I. S. Dhillon Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 26-29, 2001, San Francisco, California, USA Download: [pdf] (Also a longer version appears as UTCS Technical Report #TR-01-05, March 2001. [Abstract & Download]) Visualizing Class Structure of Multidimensional Data I. S. Dhillon, D. S. Modha, and W. S. Spangler Proceedings of the Thirtieth Symposium on the Interface: Computing Science and Statistics, Interface Foundation of North America, vol. 30, pages 488-493, Minneapolis, May 1998. Download: [ps] Application of a New Algorithm for the Symmetric Eigenproblem to Computational Quantum Chemistry I. S. Dhillon, G. Fann, and B. N. Parlett Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, Minneapolis, March 1997. Download: [ps] ScaLAPACK: A Linear Algebra Library for Message-Passing Computers L. S. Blackford, J. Choi, A. Cleary, E. D'Azevedo, J. Demmel, I. S. Dhillon, J. Dongarra, S. Hammarling, G. Henry, A. Petitet, K. Stanley, D. Walker, and R. C. Whaley SIAM Conference on Parallel Processing, March 1997. Download: [pdf] ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance L. Blackford, J. Choi, A. Cleary, J. Demmel, I. S. Dhillon, J. Dongarra, S. Hammarling, G. Henry, A. Petitet, K. Stanley, D. Walker, and R.C. Whaley Proceedings of Supercomputing '96, 1996. Download: [pdf] An Overview of the Compilation Process for a New Parallel Architecture I. S. Dhillon, N, K. Karmarkar, and K. G. Ramakrishnan Supercomputing Symposium '91, pages 471-486, New Brunswick, Canada, June 1991. Download: [pdf] Back to Top Workshop Papers PU Matrix Completion with Graph Information N. Natarajan, N. Rao, and I. S. Dhillon Proceedings of IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing(CAMSAP), pages 37-40, 2015. Download: [pdf] Hunting for Coherent Co-clusters in High Dimensional and Noisy Datasets M. Deodhar, H. Cho, G. Gupta, J. Ghosh, and I. S. Dhillon IEEE International Conference on Data Mining (ICDM) (Workshop on Foundations on Data Mining (FDM-2008)), December 2008. Download: [pdf] Adaptive Website Design using Caching Algorithms J. Brickell, I. S. Dhillon, and D. S. Modha Twelfth ACM International Conference on Knowledge Discovery and Data Mining (KDD) (Workshop on Web Mining and Web Usage Analysis (WebKDD-2006)), August 2006. Download: [pdf] Clustering Large and Sparse Co-occurrence Data I. S. Dhillon and Y. Guan Third SIAM International Conference on Data Mining (Workshop on Clustering High-Dimensional Data and its Applications), May 2003. Download: [pdf] Information-Theoretic Feature Clustering for Text Classification I. S. Dhillon, S. Mallela, and R. Kumar Nineteenth International Conference on Machine Learning (ICML) (Workshop on Text Learning (TextML-2002)), July 2002. Download: [pdf] Refining Clusters in High-Dimensional Text Data I. S. Dhillon, Y. Guan, and J. Kogan Second SIAM International Conference on Data Mining (Workshop on Clustering High-Dimensional Data and its Applications), April 2002. (Also appears as UTCS Technical Report #TR-02-03, January 2002. [Abstract & Download]) Back to Top Book Chapters Clustering P. Berkhin and I. S. Dhillon Invited book chapter in Encyclopedia of Complexity and Systems Science, Springer, 2009. Download: [not available] Text Clustering with Mixture of von Mises-Fisher Distributions A. Banerjee, I. S. Dhillon, J. Ghosh, and S. Sra Invited book chapter in Text Mining: Classication, Clustering and Applications, CRC Press, pages 121-153, 2009. Download: [not available] Adaptive Website Design using Caching Algorithms J. Brickell, I. S. Dhillon, and D. Modha In Advances in Web Mining and Web Usage Analysis, Springer Lecture Notes in Computer Science (LNCS/LNAI), vol. 4811, pages 1-20, September 2007. Download: [pdf] Computation of the Singular Value Decomposition A. K. Cline and I. S. Dhillon Invited book chapter in Handbook of Linear Algebra, CRC Press, pages 45-1--45-13, 2006. Download: [pdf] Clustering with Entropy-like k-means Algorithms M. Teboulle, P. Berkhin, I. S. Dhillon, Y. Guan, and J. Kogan Invited book chapter in Grouping Multidimensional Data - Recent Advances in Clustering, Springer-Verlag, pages 127-160, 2005. Download: [not available] Feature Selection and Document Clustering I. S. Dhillon, J. Kogan, and M. Nicholas Book chapter in A Comprehensive Survey of Text Mining, Springer-Verlag, pages 73-100, 2003. Download: [not available] Efficient Clustering of Very Large Document Collections I. S. Dhillon, Y. Guan, and J. Fan Invited book chapter in Data Mining for Scientific and Engineering Applications, Kluwer Academic Publishers, pages 357-381, 2001. Download: [pdf] A Data Clustering Algorithm on Distributed Memory Multiprocessors I. S. Dhillon and D. S. Modha In Large-Scale Parallel Data Mining, Lecture Notes in Artificial Intelligence, vol. 1759, Springer-Verlag, pages 245-260, March 2000. Download: [pdf] (Also appears as IBM Research Report RJ 10134) Back to Top Books ScaLAPACK Users' Guide L. Blackford, J. Choi, A. Cleary, J. Demmel, I. S. Dhillon, J. Dongarra, S. Hammarling, G. Henry, A. Petitet, K. Stanley, D. Walker, and R.C. Whaley SIAM, 1997. Download: [HTML] Back to Top Technical Reports Provable Inductive Matrix Completion P. Jain and I. S. Dhillon CoRR abs/1302.0626, 2013. Download: [pdf] Scalable Semidefinite Programming using Convex Perturbations B. Kulis, S. Sra, S. Jegelka, and I. S. Dhillon UTCS Technical Report #TR-07-47, September 2007. [Abstract & Download]) Online Linear Regression using Burg Entropy P. Jain, B. Kulis, and I. S. Dhillon UTCS Technical Report #TR-07-08, February 2007. [Abstract & Download]) Nonnegative Matrix Approximation: Algorithms and Applications S. Sra and I. S. Dhillon UTCS Technical Report #TR-06-27, June 2006. [Abstract & Download]) Generalized Nonnegative Matrix Approximations with Bregman Divergences I. S. Dhillon and S. Sra Proceedings of the Neural Information Processing Systems Conference (NIPS), pages 283-290, Vancouver Canada, December 2005. Download: [pdf] (Also appears as UTCS Technical Report #TR-05-31, June 1, 2005. [Abstract & Download]) A Unified View of Kernel k-means, Spectral Clustering and Graph Cuts I. S. Dhillon, Yuqiang Guan, and Brian Kulis UTCS Technical Report #TR-04-25, June 2004. [Abstract & Download] Triangle Fixing Algorithms for the Metric Nearness Problem I. S. Dhillon, S. Sra, and J. A. Tropp Eighteenth Annual Conference on Neural Information Processing Systems (NIPS), pages 361-368, December 2004. Download: [pdf] (Also appears as UTCS Technical Report #TR-04-22, June 2004. [Abstract & Download]) Generalized Finite Algorithms for Constructing Hermitian Matrices with Prescribed Diagonal and Spectrum I. S. Dhillon, R. W. Heath Jr., M. A. Sustik, and J. A. Tropp SIAM Journal on Matrix Analysis and Applications, vol. 27:1, May 2005. Download: [pdf] (Also appears as UTCS Technical Report #TR-03-49, November 2003. [Abstract & Download]) Designing Structured Tight Frames Via An Alternating Projection Method J. A. Tropp, I. S. Dhillon, R. W. Heath Jr., and T. Strohmer IEEE Transactions on Information Theory, vol. 51:1, pages 188-209, January 2005. Download: [pdf] (Also appears as ICES Report 03-50, UT, December 2003. [Abstract & Download]) Information Theoretic Clustering of Sparse Co-Occurrence Data I. S. Dhillon and Y. Guan Proceedings of the Third IEEE International Conference on Data Mining, pages 517-521, November 2003 Download: [pdf] (A longer version appears as UTCS Technical Report #TR-03-39, September 2003. [Abstract & Download]) (Also appears as "Clustering Large and Sparse Co-Occurrence Data", Workshop on Clustering High-Dimensional Data and its Applications at the Third SIAM International Conference on Data Mining, May 2003. Download: [pdf]) A Parallel Eigensolver for Dense Symmetric Matrices based on Multiple Relatively Robust Representations P. Bientinesi, I. S. Dhillon, and R. A. van de Geijn To appear in SIAM Journal on Scientific Computing, 2005 (Also appears as UTCS Technical Report #TR-03-26, July 2003. [Abstract & Download]) Finite-Step Algorithms for Constructing Optimal CDMA Signature Sequences J. A. Tropp, I. S. Dhillon, and R. W. Heath Jr. IEEE Transactions on Information Theory, vol. 50:11, pages 2916-2921, November 2004. Download: [pdf] (Also appears as WNCG-TR-2003-05-08, UT, June 2003. [Abstract & Download]) The Metric Nearness Problem with Applications I. S. Dhillon, S. Sra, and J. A. Tropp UTCS Technical Report #TR-03-23, July 2003. [Abstract & Download] Information-Theoretic Co-clustering I. S. Dhillon, S. Mallela, and D. S. Modha Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pages 89-98, August 2003. Download: [pdf] (Also appears as UTCS Technical Report #TR-03-12, April 2003. [Abstract & Download]) Expectation Maximization for Clustering on Hyperspheres A. Banerjee, I. S. Dhillon, J. Ghosh, and S. Sra UTCS Technical Report #TR-03-07, February 2003. [Abstract & Download] Modeling data using Directional Distributions I. S. Dhillon and S. Sra UTCS Technical Report #TR-03-06, January 2003. [Abstract & Download] Diametrical Clustering for identifying Anti-Correlated Gene Clusters I. S. Dhillon, E. M. Marcotte, and U. Roshan Bioinformatics, vol. 19:13, pages 1612-1619, 2003. Download: [pdf] (Also appears as UTCS Technical Report #TR-02-49, September 2002. [Abstract & Download]) Refining Clusters in High-dimensional Text Data I. S. Dhillon, Y. Guan, and J. Kogan 2nd SIAM International Conference on Data Mining (Workshop on Clustering High-Dimensional Data and its Applications), April 2002. Download: [pdf] (Also appears as UTCS Technical Report #TR-02-03, January 2002. [Abstract & Download]) Enhanced Word Clustering for Hierarchical Text Classification I. S. Dhillon, S. Mallela, and R. Kumar Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), July 2002. Download: [pdf] (Also appears as UTCS Technical Report #TR-02-17, March 2002. [Abstract & Download]) Co-clustering Documents and Words Using Bipartite Spectral Graph Partitioning I. S. Dhillon Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), August 26-29, 2001, San Francisco, California, USA Download: [pdf] (Also a longer version appears as UTCS Technical Report #TR-01-05, March 2001. [Abstract & Download]) A Data Clustering Algorithm on Distributed Memory Multiprocessors I. S. Dhillon and D. S. Modha KDD, August 1999. Download: [pdf] (Also Large-Scale Parallel Data Mining, Lecture Notes in Artificial Intelligence, vol. 1759, pages 245-260, 2000.) (Also appears as IBM Research Report RJ 10134) Concept Decompositions for Large Sparse Text Data using Clustering I. S. Dhillon and D. S. Modha Machine Learning, vol. 42:1, pages 143-175, January 2001. Download: [pdf] (An earlier version appears as IBM Research Report RJ 10147, July 8, 1999.) A New O(N^2) Algorithm for the Symmetric Tridiagonal Eigenvalue/Eigenvector Problem I. S. Dhillon PhD. Thesis, University of California, Berkeley, Spring 1997. Download: [pdf] (Also appears as UCB Tech. Report No. UCB//CSD-97-971.) Installation Guide for ScaLAPACK J. Choi, J. Demmel, I. S. Dhillon, J. Dongarra, S. Ostrouchov, A. Petitet, K. Stanley, D. Walker, and R. C. Whaley University of Tennessee Computer Science Technical Report, UT-CS-95-280, March 1995 (version 1.0), updated August 31, 2001 (version 1.7) --- also available as LAPACK Working Note 93. Download: [pdf] Efficient Computation of the Singular Value Decomposition with Applications to Least Squares Problems M. Gu, J. W. Demmel, I. S. Dhillon Technical Report LBL-36201, Lawrence Berkeley National Laboratory, October 1994. Download: [pdf] Performance Analysis of a Proposed Parallel Architecture on Matrix Vector Multiply Like Routines I. S. Dhillon, N. K. Karmarkar, and K. G. Ramakrishnan Technical Memorandum 11216-901004-13TM, AT&T Bell Laboratories, Murray Hill, NJ, 1990 Download: [pdf] Back to Top