Debarghya Ghoshdastidar
Title
Cited by
Cited by
Year
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
612014
Consistency of spectral hypergraph partitioning under planted partition model
D Ghoshdastidar, A Dukkipati
The Annals of Statistics 45 (1), 289-315, 2017
542017
A provable generalized tensor spectral method for uniform hypergraph partitioning
D Ghoshdastidar, A Dukkipati
International Conference on Machine Learning, 400-409, 2015
342015
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
302017
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
282020
Comparison based nearest neighbor search
S Haghiri, D Ghoshdastidar, U von Luxburg
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017
282017
Uniform hypergraph partitioning: Provable tensor methods and sampling techniques
D Ghoshdastidar, A Dukkipati
The Journal of Machine Learning Research 18 (1), 1638-1678, 2017
272017
Spectral clustering using multilinear SVD: Analysis, approximations and applications
D Ghoshdastidar, A Dukkipati
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
262015
Practical methods for graph two-sample testing
D Ghoshdastidar, U von Luxburg
arXiv preprint arXiv:1811.12752, 2018
252018
Foundations of comparison-based hierarchical clustering
D Ghoshdastidar, M Perrot, U von Luxburg
Advances in Neural Information Processing Systems 32, 7456-7466, 2019
162019
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
72012
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
62016
Near-optimal comparison based clustering
M Perrot, PM Esser, D Ghoshdastidar
arXiv preprint arXiv:2010.03918, 2020
42020
On the optimality of kernels for high-dimensional clustering
LC Vankadara, D Ghoshdastidar
International Conference on Artificial Intelligence and Statistics, 2185-2195, 2020
42020
Learning With Jensen-Tsallis Kernels
D Ghoshdastidar, AP Adsul, A Dukkipati
IEEE transactions on neural networks and learning systems 27 (10), 2108-2119, 2016
42016
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
42014
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
42014
Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms
D Ghoshdastidar, A Dukkipati, S Bhatnagar
Automatica 50 (10), 2606-2614, 2014
22014
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
12013
On power-law Kernels, corresponding reproducing Kernel Hilbert space and applications
D Ghoshdastidar, A Dukkipati
AAAI'13: Proceedings of the Twenty-Seventh AAAI Conference on Artificial …, 2013
12013
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