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Kaushik Sinha
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Cited by
Year
Polynomial learning of distribution families
M Belkin, K Sinha
2010 IEEE 51st Annual Symposium on Foundations of Computer Science, 103-112, 2010
2112010
A Near-Optimal Algorithm for Differentially-Private Principal Components.
K Chaudhuri, AD Sarwate, K Sinha
Journal of Machine Learning Research 14, 2013
1622013
Near-optimal differentially private principal components
K Chaudhuri, A Sarwate, K Sinha
Advances in neural information processing systems 25, 2012
1602012
Randomized partition trees for exact nearest neighbor search
S Dasgupta, K Sinha
Conference on learning theory, 317-337, 2013
1152013
Semi-supervised learning using sparse eigenfunction bases
K Sinha, M Belkin
Advances in Neural Information Processing Systems, 1687-1695, 2009
472009
Revisiting kd-tree for Nearest Neighbor Search
P Ram, K Sinha
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
462019
Learning Gaussian mixtures with arbitrary separation
M Belkin, K Sinha
arXiv preprint arXiv:0907.1054, 2009
452009
Polynomial learning of distribution families
M Belkin, K Sinha
SIAM Journal on Computing 44 (4), 889-911, 2015
322015
The value of labeled and unlabeled examples when the model is imperfect
K Sinha, M Belkin
Advances in Neural Information Processing Systems 20, 2007
322007
Trends of cardiac complications in patients with rheumatoid arthritis: analysis of the United States national inpatient sample; 2005-2014
D Bandyopadhyay, U Banerjee, A Hajra, S Chakraborty, B Amgai, ...
Current problems in cardiology 46 (3), 100455, 2021
202021
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
Improved maximum inner product search with better theoretical guarantee using randomized partition trees
O Keivani, K Sinha, P Ram
Machine Learning 107 (6), 1069-1094, 2018
142018
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
132017
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
132014
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
132009
A support vector machine approach to identification of proteins relevant to learning in a mouse model of Down syndrome
T Eicher, K Sinha
2017 International Joint Conference on Neural Networks (IJCNN), 3391-3398, 2017
102017
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
102013
Improved nearest neighbor search using auxiliary information and priority functions
O Keivani, K Sinha
International Conference on Machine Learning, 2573-2581, 2018
82018
K-means clustering using random matrix sparsification
K Sinha
International Conference on Machine Learning, 4684-4692, 2018
82018
Semi-supervised learning
K Sinha
Data Classification, 539-564, 2014
82014
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