Debarghya Ghoshdastidar
Debarghya Ghoshdastidar
Adresse e-mail validée de in.tum.de - Page d'accueil
TitreCitée parAnnée
Consistency of spectral partitioning of uniform hypergraphs under planted partition model
D Ghoshdastidar, A Dukkipati
Advances in Neural Information Processing Systems, 397-405, 2014
302014
Consistency of spectral hypergraph partitioning under planted partition model
D Ghoshdastidar, A Dukkipati
The Annals of Statistics 45 (1), 289-315, 2017
212017
Spectral clustering using multilinear svd: Analysis, approximations and applications
D Ghoshdastidar, A Dukkipati
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
172015
Comparison based nearest neighbor search
S Haghiri, D Ghoshdastidar, U von Luxburg
International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017
162017
A provable generalized tensor spectral method for uniform hypergraph partitioning
D Ghoshdastidar, A Dukkipati
International Conference on Machine Learning, 400-409, 2015
162015
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
122017
Uniform hypergraph partitioning: Provable tensor methods and sampling techniques
D Ghoshdastidar, A Dukkipati
The Journal of Machine Learning Research 18 (1), 1638-1678, 2017
112017
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
82012
Practical methods for graph two-sample testing
D Ghoshdastidar, U von Luxburg
Advances in Neural Information Processing Systems, 3019-3028, 2018
42018
Two-sample Hypothesis Testing for Inhomogeneous Random Graphs
D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg
arXiv preprint arXiv:1707.00833, 2017
42017
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), 17, 2014
42014
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
32016
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
32014
Newton-based stochastic optimization using q-Gaussian smoothed functional algorithms
D Ghoshdastidar, A Dukkipati, S Bhatnagar
Automatica 50 (10), 2606-2614, 2014
22014
On the optimality of kernels for high-dimensional clustering
LC Vankadara, D Ghoshdastidar
arXiv preprint arXiv:1912.00458, 2019
2019
Foundations of Comparison-Based Hierarchical Clustering
D Ghoshdastidar, M Perrot, U von Luxburg
Advances in Neural Information Processing Systems, 7454-7464, 2019
2019
Consistency of Spectral Algorithms for Hypergraphs under Planted Partition Model
D Ghoshdastidar
Indian Institute of Science Bangalore (PhD Thesis), 2016
2016
Coloring Random Non-Uniform Bipartite Hypergraphs
D Ghoshdastidar, A Dukkipati
arXiv preprint arXiv:1507.00763, 2015
2015
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
2013
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