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Hemant Tyagi
Hemant Tyagi
Researcher, Inria Lille - Nord Europe
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
Tangent space estimation for smooth embeddings of Riemannian manifolds ®
H Tyagi, E Vural, P Frossard
Information and Inference: A Journal of the IMA 2 (1), 69-114, 2013
682013
SPONGE: A generalized eigenproblem for clustering signed networks
M Cucuringu, P Davies, A Glielmo, H Tyagi
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
642019
Automatic identification of bird calls using spectral ensemble average voice prints
H Tyagi, RM Hegde, HA Murthy, A Prabhakar
2006 14th European Signal Processing Conference, 1-5, 2006
622006
Learning non-parametric basis independent models from point queries via low-rank methods
H Tyagi, V Cevher
Applied and Computational Harmonic Analysis 37 (3), 389-412, 2014
492014
Sparse non-negative super-resolution—simplified and stabilised
A Eftekhari, J Tanner, A Thompson, B Toader, H Tyagi
Applied and Computational Harmonic Analysis 50, 216-280, 2021
342021
Active learning of multi-index function models
T Hemant, V Cevher
Advances in Neural Information Processing Systems 25, 1475-1483, 2012
252012
On denoising modulo 1 samples of a function
M Cucuringu, H Tyagi
International Conference on Artificial Intelligence and Statistics, 1868-1876, 2018
232018
Ranking and synchronization from pairwise measurements via SVD
A d'Aspremont, M Cucuringu, H Tyagi
Journal of Machine Learning Research 22 (19), 1-63, 2021
182021
Regularized spectral methods for clustering signed networks
M Cucuringu, AV Singh, D Sulem, H Tyagi
Journal of Machine Learning Research 22 (264), 1-79, 2021
182021
Continuum armed bandit problem of few variables in high dimensions
H Tyagi, B Gärtner
11th Workshop on Approximation and Online Algorithms 8447, 108-119, 2013
172013
Provably robust estimation of modulo 1 samples of a smooth function with applications to phase unwrapping
M Cucuringu, H Tyagi
Journal of Machine Learning Research 21 (32), 1-77, 2020
132020
Efficient sampling for learning sparse additive models in high dimensions
H Tyagi, B Gärtner, A Krause
Advances in neural information processing systems 27, 2014
122014
Learning sparse additive models with interactions in high dimensions
H Tyagi, A Kyrillidis, B Gärtner, A Krause
Artificial intelligence and statistics, 111-120, 2016
112016
Learning ridge functions with randomized sampling in high dimensions
H Tyagi, V Cevher
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
112012
An iterative clustering algorithm for the contextual stochastic block model with optimality guarantees
G Braun, H Tyagi, C Biernacki
International Conference on Machine Learning, 2257-2291, 2022
102022
Denoising modulo samples: k-NN regression and tightness of SDP relaxation
M Fanuel, H Tyagi
Information and Inference: A Journal of the IMA 11 (2), 637-677, 2022
102022
Clustering multilayer graphs with missing nodes
G Braun, H Tyagi, C Biernacki
International Conference on Artificial Intelligence and Statistics, 2260-2268, 2021
92021
Minimax optimal clustering of bipartite graphs with a generalized power method
G Braun, H Tyagi
Information and Inference: A Journal of the IMA 12 (3), 1830-1866, 2023
72023
An extension of the angular synchronization problem to the heterogeneous setting
M Cucuringu, H Tyagi
arXiv preprint arXiv:2012.14932, 2020
72020
Algorithms for learning sparse additive models with interactions in high dimensions*
H Tyagi, A Kyrillidis, B Gärtner, A Krause
Information and Inference: A Journal of the IMA 7 (2), 183-249, 2018
72018
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