Vikas Sindhwani, Ph.D. - Publications
Affiliations: | University of Chicago, Chicago, IL |
Area:
artificial intelligence, pattern recognition, machine learning, computational study of human speech and languageYear | Citation | Score | |||
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2020 | Singh S, Richards SM, Sindhwani V, Slotine JE, Pavone M. Learning stabilizable nonlinear dynamics with contraction-based regularization: The International Journal of Robotics Research. 27836492094993. DOI: 10.1177/0278364920949931 | 0.34 | |||
2016 | Avron H, Sindhwani V. High-Performance Kernel Machines With Implicit Distributed Optimization and Randomization Technometrics. 58: 341-349. DOI: 10.1080/00401706.2015.1111261 | 0.403 | |||
2011 | Sindhwani V, Ghoting A, Ting E, Lawrence R. Extracting insights from social media with large-scale matrix approximations Ibm Journal of Research and Development. 55: 9:1-9:13. DOI: 10.1147/Jrd.2011.2163281 | 0.412 | |||
2011 | Ghoting A, Krishnamurthy R, Pednault E, Reinwald B, Sindhwani V, Tatikonda S, Tian Y, Vaithyanathan S. SystemML: Declarative machine learning on MapReduce Proceedings - International Conference On Data Engineering. 231-242. DOI: 10.1109/ICDE.2011.5767930 | 0.35 | |||
2009 | Rosenberg DS, Sindhwani V, Bartlett PL, Niyogi P. Multiview point cloud kernels for semisupervised learning [Lecture Notes] Ieee Signal Processing Magazine. 26: 145-148. DOI: 10.1109/Msp.2009.933383 | 0.416 | |||
2009 | Natarajan R, Sindhwani V, Tatikonda S. Sparse least-squares methods in the Parallel Machine Learning (PML) framework Icdm Workshops 2009 - Ieee International Conference On Data Mining. 314-319. DOI: 10.1109/ICDMW.2009.106 | 0.402 | |||
2004 | Sindhwani V, Rakshit S, Deodhare D, Erdogmus D, Principe JC, Niyogi P. 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. PMID 15461085 DOI: 10.1109/Tnn.2004.828772 | 0.398 | |||
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