Kaushik Sinha
Kaushik Sinha
Verified email at wichita.edu
TitleCited byYear
Polynomial learning of distribution families
M Belkin, K Sinha
2010 IEEE 51st Annual Symposium on Foundations of Computer Science, 103-112, 2010
1602010
Near-optimal differentially private principal components
K Chaudhuri, A Sarwate, K Sinha
Advances in Neural Information Processing Systems, 989-997, 2012
932012
Randomized partition trees for nearest neighbor search
S Dasgupta, K Sinha
Algorithmica 72 (1), 237-267, 2015
75*2015
Randomized partition trees for exact nearest neighbor search
S Dasgupta, K Sinha
Conference on Learning Theory, 317-337, 2013
752013
A near-optimal algorithm for differentially-private principal components
K Chaudhuri, AD Sarwate, K Sinha
The Journal of Machine Learning Research 14 (1), 2905-2943, 2013
612013
Semi-supervised learning using sparse eigenfunction bases
K Sinha, M Belkin
Advances in Neural Information Processing Systems, 1687-1695, 2009
422009
The value of labeled and unlabeled examples when the model is imperfect
K Sinha, M Belkin
Advances in Neural Information Processing Systems, 1361-1368, 2008
302008
Toward Learning Gaussian Mixtures with Arbitrary Separation.
M Belkin, K Sinha
COLT, 407-419, 2010
262010
Simultaneous optimization of complex mining tasks with a knowledgeable cache
R Jin, K Sinha, G Agrawal
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005
162005
Near-optimal algorithms for differentially-private principal components
K Chaudhuri, AD Sarwate, K Sinha
arXiv preprint arXiv:1207.2812, 2012
132012
LSH vs randomized partition trees: Which one to use for nearest neighbor search?
K Sinha
2014 13th International Conference on Machine Learning and Applications, 41-46, 2014
92014
An optimal spatial configuration of sample sites for air pollution monitoring
N Kumar, V Nixon, K Sinha, X Jiang, S Ziegenhorn, T Peters
Journal of the Air & Waste Management Association 59 (11), 1308-1316, 2009
92009
Improved maximum inner product search with better theoretical guarantees
O Keivani, K Sinha, P Ram
2017 International Joint Conference on Neural Networks (IJCNN), 2927-2934, 2017
82017
Polynomial learning of distribution families
M Belkin, K Sinha
SIAM Journal on Computing 44 (4), 889-911, 2015
82015
Learning Gaussian mixtures with arbitrary separation
M Belkin, K Sinha
arXiv preprint arXiv:0907.1054, 2009
82009
Support Vector Machines
K Sinha
62014
Longitudinal daily activity patterns in individuals with heart failure: derivation and association with prognosis and clinical characteristics
MJ Shoemaker, MG Dickinson, A Polso
Cardiopulmonary Physical Therapy Journal 24 (4), 25, 2013
52013
Using Data Mining Techniques to Learn Layouts of Flat-File Biological Datasets
K Sinha, X Zhang, R Jin, G Agrawal
Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05), 177-184, 2005
52005
Learning layouts of biological datasets semi-automatically
K Sinha, X Zhang, R Jin, G Agrawal
International Workshop on Data Integration in the Life Sciences, 31-45, 2005
52005
Improved nearest neighbor search using auxiliary information and priority functions
O Keivani, K Sinha
International Conference on Machine Learning, 2578-2586, 2018
42018
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Articles 1–20