| Consistency of spectral partitioning of uniform hypergraphs under planted partition model D Ghoshdastidar, A Dukkipati Advances in Neural Information Processing Systems 27, 397-405, 2014 | 47 | 2014 |
| Consistency of spectral hypergraph partitioning under planted partition model D Ghoshdastidar, A Dukkipati Annals of Statistics 45 (1), 289-315, 2017 | 40 | 2017 |
| Two-sample tests for large random graphs using network statistics D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg Conference on Learning Theory (COLT) 65, 954-977, 2017 | 26 | 2017 |
| A provable generalized tensor spectral method for uniform hypergraph partitioning D Ghoshdastidar, A Dukkipati International Conference on Machine Learning, 400-409, 2015 | 26 | 2015 |
| Comparison based nearest neighbor search S Haghiri, D Ghoshdastidar, U von Luxburg International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017 | 23 | 2017 |
| Spectral clustering using multilinear SVD: Analysis, approximations and applications D Ghoshdastidar, A Dukkipati Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 21 | 2015 |
| Two-sample Hypothesis Testing for Inhomogeneous Random Graphs D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg Annals of Statistics 48 (4), 2208-2229, 2020 | 19 | 2020 |
| Uniform hypergraph partitioning: Provable tensor methods and sampling techniques D Ghoshdastidar, A Dukkipati The Journal of Machine Learning Research 18 (1), 1638-1678, 2017 | 19 | 2017 |
| Practical methods for graph two-sample testing D Ghoshdastidar, U von Luxburg arXiv preprint arXiv:1811.12752, 2018 | 16 | 2018 |
| Foundations of comparison-based hierarchical clustering D Ghoshdastidar, M Perrot, U von Luxburg arXiv preprint arXiv:1811.00928, 2018 | 9 | 2018 |
| q-Gaussian based smoothed functional algorithms for stochastic optimization D Ghoshdastidar, A Dukkipati, S Bhatnagar 2012 IEEE International Symposium on Information Theory Proceedings, 1059-1063, 2012 | 8 | 2012 |
| Mixture modeling with compact support distributions for unsupervised learning A Dukkipati, D Ghoshdastidar, J Krishnan 2016 International Joint Conference on Neural Networks (IJCNN), 2706-2713, 2016 | 4 | 2016 |
| Learning With Jensen-Tsallis Kernels D Ghoshdastidar, AP Adsul, A Dukkipati IEEE transactions on neural networks and learning systems 27 (10), 2108-2119, 2016 | 4 | 2016 |
| Smoothed Functional Algorithms for Stochastic Optimization Using q-Gaussian Distributions D Ghoshdastidar, A Dukkipati, S Bhatnagar ACM Transactions on Modeling and Computer Simulation (TOMACS) 24 (3), 1-26, 2014 | 4 | 2014 |
| Spectral Clustering with Jensen-type kernels and their multi-point extensions D Ghoshdastidar, A Dukkipati, AP Adsul, AS Vijayan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 4 | 2014 |
| Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms D Ghoshdastidar, A Dukkipati, S Bhatnagar Automatica 50 (10), 2606-2614, 2014 | 2 | 2014 |
| Near-optimal comparison based clustering M Perrot, PM Esser, D Ghoshdastidar arXiv preprint arXiv:2010.03918, 2020 | 1 | 2020 |
| On the optimality of kernels for high-dimensional clustering LC Vankadara, D Ghoshdastidar International Conference on Artificial Intelligence and Statistics, 2185-2195, 2020 | 1 | 2020 |
| Generative maximum entropy learning for multiclass classification A Dukkipati, G Pandey, D Ghoshdastidar, P Koley, DMVS Sriram 2013 IEEE 13th International Conference on Data Mining, 141-150, 2013 | 1 | 2013 |
| Efficient Algorithms and Data Structures D Ghoshdastidar | | 2020 |
Ambedkar DukkipatiAssociate Professor, Department of Computer Science and Automation, Indian Institute of ScienceVerified email at iisc.ac.in
