Mario Díaz

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 34

Top Topics

Privacy Preserving

Covariance Matrices

Top Venues

IEEE Trans. Inf. Theory

Publications

Lucas Monteiro Paes, Rodrigo Cruz, Flávio P. Calmon, Mario Díaz
On the Inevitability of the Rashomon Effect. ISIT (2023)
Shahab Asoodeh, Mario Díaz
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses. CoRR (2023)
Tyler Sypherd, Mario Díaz, John Kevin Cava, Gautam Dasarathy, Peter Kairouz, Lalitha Sankar
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. IEEE Trans. Inf. Theory 68 (9) (2022)
Mario Díaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar
Neural Network-based Estimation of the MMSE. ISIT (2021)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
The Impact of Split Classifiers on Group Fairness. ISIT (2021)
Mario Díaz, Peter Kairouz, Lalitha Sankar
Lower Bounds for the Minimum Mean-Square Error via Neural Network-based Estimation. CoRR (2021)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio du Pin Calmon
To Split or not to Split: The Impact of Disparate Treatment in Classification. IEEE Trans. Inf. Theory 67 (10) (2021)
Mario Díaz, Hao Wang, Flávio du Pin Calmon, Lalitha Sankar
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. IEEE Trans. Inf. Theory 66 (4) (2020)
Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy
On the alpha-loss Landscape in the Logistic Model. CoRR (2020)
Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. ISIT (2020)
Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon
To Split or Not to Split: The Impact of Disparate Treatment in Classification. CoRR (2020)
Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
Privacy Analysis of Online Learning Algorithms via Contraction Coefficients. CoRR (2020)
Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy
On the α-loss Landscape in the Logistic Model. ISIT (2020)
Shahab Asoodeh, Mario Díaz, Flávio P. Calmon
Privacy Amplification of Iterative Algorithms via Contraction Coefficients. CoRR (2020)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Estimation Efficiency Under Privacy Constraints. IEEE Trans. Inf. Theory 65 (3) (2019)
Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz
A Tunable Loss Function for Binary Classification. ISIT (2019)
Mario Díaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar
Theoretical Guarantees for Model Auditing with Finite Adversaries. CoRR (2019)
Hao Wang, Mario Díaz, José Cândido Silveira Santos Filho, Flávio P. Calmon
An Information-Theoretic View of Generalization via Wasserstein Distance. ISIT (2019)
Tyler Sypherd, Mario Díaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy
A Tunable Loss Function for Classification. CoRR (2019)
Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz
A Tunable Loss Function for Binary Classification. CoRR (2019)
Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. CoRR (2018)
Mario Díaz, Lalitha Sankar, Peter Kairouz
On the Contractivity of Privacy Mechanisms. CoRR (2018)
Hao Wang, Mario Díaz, Flávio du Pin Calmon, Lalitha Sankar
The Utility Cost of Robust Privacy Guarantees. CoRR (2018)
Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar
The Utility Cost of Robust Privacy Guarantees. ISIT (2018)
Mario Díaz, Shahab Asoodeh, Fady Alajaji, Tamás Linder, Serban Teodor Belinschi, James A. Mingo
On the Noise-Information Separation of a Private Principal Component Analysis Scheme. CoRR (2018)
Mario Díaz, Víctor Pérez-Abreu
On the Capacity of Block Multiantenna Channels. IEEE Trans. Inf. Theory 63 (8) (2017)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Privacy-aware guessing efficiency. ISIT (2017)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Estimation Efficiency Under Privacy Constraints. CoRR (2017)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Privacy-Aware Guessing Efficiency. CoRR (2017)
Mario Díaz
On the Symmetries and the Capacity Achieving Input Covariance Matrices of Multiantenna Channels. CoRR (2016)
Mario Díaz
On the symmetries and the capacity achieving input covariance matrices of multiantenna channels. ISIT (2016)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Information Extraction Under Privacy Constraints. Inf. 7 (1) (2016)
Mario Díaz, Víctor Pérez-Abreu
On the Capacity of Block Multiantenna Channels. CoRR (2015)
Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder
Information Extraction Under Privacy Constraints. CoRR (2015)
Mario Díaz, Víctor Pérez-Abreu
On the Asymptotic Ergodic Capacity of Correlated Multiantenna Channels using Finite Dimensional Statistics. CoRR (2014)