Vikas Sindhwani
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I am a scientist studying Machine Learning and Intelligence. I am interested in building large-scale learning systems and understanding the computational and mathematical nature of
mechanisms to learn effectively from high-dimensional data.
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Recent Publications
Learning Evolving and Emerging Topics in Social Media: A Dynamic NMF Approach with Temporal Regularization
A. Saha and V. Sindhwani
Fifth ACM International Conference on Web Search and Data Mining (WSDM), 2012
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
V. Sindhwani and A.C. Lozano
Neural Information Processing Systems (NIPS), 2011
Vector-Valued Manifold Regularization
H.Q. Minh and V. Sindhwani
International Conference on Machine Learning (ICML), 2011
SystemML: Declarative Machine Learning on MapReduce
A. Ghoting, R. Krishnamurthy, E. Pednault, B. Reinwald, V. Sindhwani, S. Tatikonda, Y. Tian, S. Vaithyanathan
IEEE International Conference on Data Engineering (ICDE), 2011