Estimation efficiency under privacy constraints S Asoodeh, M Diaz, F Alajaji, T Linder IEEE Transactions on Information Theory, 2018 | 91 | 2018 |
Information extraction under privacy constraints S Asoodeh, M Diaz, F Alajaji, T Linder Information 7 (1), 15, 2016 | 82 | 2016 |
On the robustness of information-theoretic privacy measures and mechanisms M Diaz, H Wang, FP Calmon, L Sankar IEEE Transactions on Information Theory 66 (4), 1949-1978, 2019 | 56 | 2019 |
An information-theoretic view of generalization via Wasserstein distance H Wang, M Diaz, JCS Santos Filho, FP Calmon 2019 IEEE International Symposium on Information Theory (ISIT), 577-581, 2019 | 53* | 2019 |
A tunable loss function for binary classification T Sypherd, M Diaz, L Sankar, P Kairouz 2019 IEEE international symposium on information theory (ISIT), 2479-2483, 2019 | 35 | 2019 |
To split or not to split: The impact of disparate treatment in classification H Wang, H Hsu, M Diaz, FP Calmon IEEE Transactions on Information Theory 67 (10), 6733-6757, 2021 | 32 | 2021 |
Privacy-aware guessing efficiency S Asoodeh, M Diaz, F Alajaji, T Linder 2017 ieee international symposium on information theory (isit), 754-758, 2017 | 26 | 2017 |
A tunable loss function for robust classification: Calibration, landscape, and generalization T Sypherd, M Diaz, JK Cava, G Dasarathy, P Kairouz, L Sankar IEEE Transactions on Information Theory 68 (9), 6021-6051, 2022 | 24 | 2022 |
Privacy amplification of iterative algorithms via contraction coefficients S Asoodeh, M Diaz, FP Calmon 2020 IEEE International Symposium on Information Theory (ISIT), 896-901, 2020 | 17 | 2020 |
The utility cost of robust privacy guarantees H Wang, M Diaz, FP Calmon, L Sankar 2018 IEEE International Symposium on Information Theory (ISIT), 706-710, 2018 | 17 | 2018 |
On the global fluctuations of block Gaussian matrices M Diaz, JA Mingo, ST Belinschi Probability Theory and Related Fields 176 (1), 599-648, 2020 | 8 | 2020 |
Privacy analysis of online learning algorithms via contraction coefficients S Asoodeh, M Diaz, FP Calmon International Symposium on Information Theory, 1, 2020 | 8 | 2020 |
On the capacity of block multiantenna channels M Diaz, V Pérez-Abreu IEEE Transactions on Information Theory 63 (8), 5286-5298, 2017 | 8 | 2017 |
Fluctuations for matrix-valued Gaussian processes M Diaz, A Jaramillo, JC Pardo Annales de l'Institut Henri Poincare (B) Probabilites et statistiques 58 (4 …, 2022 | 7 | 2022 |
On the α-loss landscape in the logistic model T Sypherd, M Diaz, L Sankar, G Dasarathy 2020 IEEE International Symposium on Information Theory (ISIT), 2700-2705, 2020 | 7 | 2020 |
Lower bounds for the MMSE via neural network estimation and their applications to privacy M Diaz, P Kairouz, L Sankar arXiv preprint arXiv:2108.12851, 2021 | 6* | 2021 |
On the analytic structure of second-order non-commutative probability spaces and functions of bounded Fréchet variation M Diaz, JA Mingo Random Matrices: Theory and Applications 12 (01), 2250044, 2023 | 4 | 2023 |
Neural Network-based Estimation of the MMSE M Diaz, P Kairouz, J Liao, L Sankar 2021 IEEE International Symposium on Information Theory (ISIT), 1023-1028, 2021 | 4 | 2021 |
On the inevitability of the Rashomon effect LM Paes, R Cruz, FP Calmon, M Diaz 2023 IEEE International Symposium on Information Theory (ISIT), 549-554, 2023 | 3 | 2023 |
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses S Asoodeh, M Diaz arXiv preprint arXiv:2305.09903, 2023 | 3 | 2023 |