| Reconciling model-X and doubly robust approaches to conditional independence testing Z Niu, A Chakraborty, O Dukes, E Katsevich The Annals of Statistics 52 (3), 895-921, 2024 | 12 | 2024 |
| Optimal federated learning for nonparametric regression with heterogeneous distributed differential privacy constraints TT Cai, A Chakraborty, L Vuursteen arXiv preprint arXiv:2406.06755, 2024 | 8 | 2024 |
| Minimax and adaptive transfer learning for nonparametric classification under distributed differential privacy constraints A Auddy, TT Cai, A Chakraborty arXiv preprint arXiv:2406.20088, 2024 | 4 | 2024 |
| Doubly robust and computationally efficient high-dimensional variable selection A Chakraborty, J Zhang, E Katsevich arXiv preprint arXiv:2409.09512, 2024 | 2 | 2024 |
| High dimensional PCA: a new model selection criterion A Chakraborty, SS Mukherjee, A Chakrabarti arXiv preprint arXiv:2011.04470, 2020 | 2 | 2020 |
| Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests TT Cai, A Chakraborty, L Vuursteen arXiv preprint arXiv:2406.06749, 2024 | 1 | 2024 |
| Optimal differentially private ranking from pairwise comparisons TT Cai, A Chakraborty, Y Wang Technical Report, 2023 | 1 | 2023 |
| Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints T Cai, A Chakraborty, L Vuursteen arXiv preprint arXiv:2412.18992, 2024 | | 2024 |
| PriME: Privacy-aware Membership profile Estimation in networks A Chakraborty, S Chatterjee, S Nandy arXiv preprint arXiv:2406.02794, 2024 | | 2024 |
| THE ANNALS F ASCOLANI, G ZANELLA, Z NIU, A CHAKRABORTY, O DUKES, ... The Annals of Statistics 52 (3), 2024 | | 2024 |
| PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model A Chakraborty, A Chatterjee, A Dalal International Conference on Artificial Intelligence and Statistics, 2692-2700, 2024 | | 2024 |
