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All publications by Sanjiv Kumar
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Spherical Random Features for Polynomial Kernels
Jeffrey Pennington, Felix Yu and Sanjiv Kumar
Advances in Neural Information Processing Systems 28, 2015


Structured Transforms for Small-Footprint Deep Learning
Vikas Sindhwani, Tara Sainath and Sanjiv Kumar
Advances in Neural Information Processing Systems 28, 2015


Circulant Binary Embedding
Felix Yu, Sanjiv Kumar, Yunchao Gong and Shih-fu Chang
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Discrete Graph Hashing
Wei Liu, Cun Mu, Sanjiv Kumar and Shih-fu Chang
Advances in Neural Information Processing Systems 27, 2014


$\propto$SVM for Learning with Label Proportions
Felix Yu, Dong Liu, Sanjiv Kumar, Jebara Tony and Shih-fu Chang
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Angular Quantization-based Binary Codes for Fast Similarity Search
Yunchao Gong, Sanjiv Kumar, Vishal Verma and Svetlana Lazebnik
Advances in Neural Information Processing Systems 25, 2012


Compact Hyperplane Hashing with Bilinear Functions
Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


On the Difficulty of Nearest Neighbor Search
Junfeng He, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Hashing with Graphs
Wei Liu, Jun Wang, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Sequential Projection Learning for Hashing with Compact Codes
Jun Wang, Sanjiv Kumar and Shih-fu Chang
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


On sampling-based approximate spectral decomposition
Sanjiv Kumar, Mehryar Mohri and Ameet Talwalkar
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Ensemble Nystrom Method
Sanjiv Kumar, Mehryar Mohri and Ameet Talwalkar
Advances in Neural Information Processing Systems 22, 2009


Sampling Techniques for the Nystrom Method
Sanjiv Kumar, Mehryar Mohri and Ameet Talwalkar
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Discriminative Fields for Modeling Spatial Dependencies in Natural Images
Sanjiv Kumar and Martial Hebert
Advances in Neural Information Processing Systems 16, 2003