Vikas Sindhwani, Ph.D.

artificial intelligence, pattern recognition, machine learning, computational study of human speech and language

Partha Niyogi	grad student	2007	Chicago
(On semi -supervised Kernel methods.)

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Singh S, Richards SM, Sindhwani V, et al. (2020) Learning stabilizable nonlinear dynamics with contraction-based regularization: The International Journal of Robotics Research. 27836492094993
Avron H, Sindhwani V. (2016) High-Performance Kernel Machines With Implicit Distributed Optimization and Randomization Technometrics. 58: 341-349
Sindhwani V, Ghoting A, Ting E, et al. (2011) Extracting insights from social media with large-scale matrix approximations Ibm Journal of Research and Development. 55: 9:1-9:13
Ghoting A, Krishnamurthy R, Pednault E, et al. (2011) SystemML: Declarative machine learning on MapReduce Proceedings - International Conference On Data Engineering. 231-242
Rosenberg DS, Sindhwani V, Bartlett PL, et al. (2009) Multiview point cloud kernels for semisupervised learning [Lecture Notes] Ieee Signal Processing Magazine. 26: 145-148
Natarajan R, Sindhwani V, Tatikonda S. (2009) Sparse least-squares methods in the Parallel Machine Learning (PML) framework Icdm Workshops 2009 - Ieee International Conference On Data Mining. 314-319
Sindhwani V, Rakshit S, Deodhare D, et al. (2004) Feature selection in MLPs and SVMs based on maximum output information. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 937-48