Spectral edge in sparse random graphs: Upper and lower tail large deviations BB Bhattacharya, S Bhattacharya, S Ganguly | 17 | 2021 |
Tight clustering for large datasets with an application to gene expression data B Karmakar, S Das, S Bhattacharya, R Sarkar, I Mukhopadhyay Scientific reports 9 (1), 3053, 2019 | 16 | 2019 |
Upper tail for homomorphism counts in constrained sparse random graphs S Bhattacharya, A Dembo Random Structures & Algorithms 59 (3), 315-338, 2021 | 13 | 2021 |
Matrix completion with data-dependent missingness probabilities S Bhattacharya, S Chatterjee IEEE Transactions on Information Theory 68 (10), 6762-6773, 2022 | 12 | 2022 |
Sharp signal detection under ferromagnetic ising models S Bhattacharya, R Mukherjee, G Ray arXiv preprint arXiv:2110.02949, 2021 | 5 | 2021 |
Deep neural networks for nonparametric interaction models with diverging dimension S Bhattacharya, J Fan, D Mukherjee arXiv preprint arXiv:2302.05851, 2023 | 4 | 2023 |
Inferences on mixing probabilities and ranking in mixed-membership models S Bhattacharya, J Fan, J Hou arXiv preprint arXiv:2308.14988, 2023 | 2 | 2023 |
LDP for inhomogeneous U-Statistics S Bhattacharya, N Deb, S Mukherjee arXiv preprint arXiv:2212.03944, 2022 | 1 | 2022 |
Pc adjusted testing for low dimensional parameters S Bhattacharya, R Dey, R Mukherjee arXiv preprint arXiv:2209.10774, 2022 | 1 | 2022 |
Nonsense associations in Markov random fields with pairwise dependence S Bhattacharya, R Mukherjee, E Ogburn arXiv preprint arXiv:2402.03249, 2024 | | 2024 |
Gibbs Measures with Multilinear Forms S Bhattacharya, N Deb, S Mukherjee arXiv preprint arXiv:2307.14600, 2023 | | 2023 |
Some Applications of Graph Limits in Probability and Statistics S Bhattacharya Stanford University, 2022 | | 2022 |