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Mario Diaz
Mario Diaz
Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, UNAM
Verified email at sigma.iimas.unam.mx - Homepage
Title
Cited by
Cited by
Year
Information extraction under privacy constraints
S Asoodeh, M Diaz, F Alajaji, T Linder
Information 7 (1), 15, 2016
552016
Estimation efficiency under privacy constraints
S Asoodeh, M Diaz, F Alajaji, T Linder
IEEE Transactions on Information Theory, 2018
502018
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
302019
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
212019
Privacy-aware guessing efficiency
S Asoodeh, M Diaz, F Alajaji, T Linder
2017 ieee international symposium on information theory (isit), 754-758, 2017
202017
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
172019
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
132018
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
102021
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
72020
On the global fluctuations of block Gaussian matrices
M Diaz, JA Mingo, ST Belinschi
Probability Theory and Related Fields 176 (1), 599-648, 2020
72020
On the capacity of block multiantenna channels
M Diaz, V Pérez-Abreu
IEEE Transactions on Information Theory 63 (8), 5286-5298, 2017
72017
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, 2022
62022
Privacy analysis of online learning algorithms via contraction coefficients
S Asoodeh, M Diaz, FP Calmon
arXiv preprint arXiv:2012.11035, 2020
52020
Lower Bounds for the Minimum Mean-Square Error via Neural Network-based Estimation
M Diaz, P Kairouz, L Sankar
arXiv preprint arXiv:2108.12851, 2021
32021
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
32020
A tunable loss function for classification
T Sypherd, M Diaz, H Laddha, L Sankar, P Kairouz, G Dasarathy
32019
Fluctuations for matrix-valued Gaussian processes
M Diaz, A Jaramillo, JC Pardo
arXiv preprint arXiv:2001.03718, 2020
22020
Theoretical guarantees for model auditing with finite adversaries
M Diaz, P Kairouz, J Liao, L Sankar
arXiv preprint arXiv:1911.03405, 2019
22019
On the symmetries and the capacity achieving input covariance matrices of multiantenna channels
M Diaz
2016 IEEE International Symposium on Information Theory (ISIT), 1073-1077, 2016
22016
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
12021
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Articles 1–20