| Polynomial learning of distribution families M Belkin, K Sinha 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, 103-112, 2010 | 232 | 2010 |
| A Near-Optimal Algorithm for Differentially-Private Principal Components. K Chaudhuri, AD Sarwate, K Sinha Journal of Machine Learning Research 14, 2013 | 194 | 2013 |
| Near-optimal differentially private principal components K Chaudhuri, A Sarwate, K Sinha Advances in neural information processing systems 25, 2012 | 182 | 2012 |
| Randomized partition trees for exact nearest neighbor search S Dasgupta, K Sinha Conference on learning theory, 317-337, 2013 | 141 | 2013 |
| Revisiting kd-tree for Nearest Neighbor Search P Ram, K Sinha Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 111 | 2019 |
| Semi-supervised learning using sparse eigenfunction bases K Sinha, M Belkin Advances in Neural Information Processing Systems, 1687-1695, 2009 | 50 | 2009 |
| Learning Gaussian mixtures with arbitrary separation M Belkin, K Sinha arXiv preprint arXiv:0907.1054, 2009 | 49 | 2009 |
| Polynomial learning of distribution families M Belkin, K Sinha SIAM Journal on Computing 44 (4), 889-911, 2015 | 39 | 2015 |
| The value of labeled and unlabeled examples when the model is imperfect K Sinha, M Belkin Advances in Neural Information Processing Systems 20, 2007 | 34 | 2007 |
| 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 | 28 | 2021 |
| 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 | 18 | 2018 |
| 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 | 16 | 2014 |
| 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 | 16 | 2005 |
| 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 | 15 | 2017 |
| 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 | 14 | 2009 |
| K-means clustering using random matrix sparsification K Sinha International Conference on Machine Learning, 4684-4692, 2018 | 13 | 2018 |
| 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 | 12 | 2017 |
| Random projection-based auxiliary information can improve tree-based nearest neighbor search O Keivani, K Sinha Information Sciences 546, 526-542, 2021 | 11 | 2021 |
| Longitudinal daily activity patterns in individuals with heart failure: derivation and association with prognosis and clinical characteristics MJ Shoemaker, AB Curtis, R Paul, MG Dickinson, A Polso, K Sinha Cardiopulmonary Physical Therapy Journal 24 (4), 25-33, 2013 | 11 | 2013 |
| Ibeaconmap: Automated indoor space representation for beacon-based wayfinding SA Cheraghi, V Namboodiri, K Sinha International Conference on Computers Helping People with Special Needs, 105-113, 2020 | 9 | 2020 |
Mikhail (Misha) BelkinProfessor of Data Science, Halıcıoğlu Data Science Institute, CSE, UCSD, Amazon Scholar在 ucsd.edu 的电子邮件经过验证
