Mario Díaz

According to our database, Mario Díaz authored at least 27 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

$\mathrm{E}_{\gamma}$-Mixing Time.

Behnoosh Zamanlooy, Shahab Asoodeh, Mario Díaz, Flávio P. Calmon

Proceedings of the IEEE International Symposium on Information Theory, 2024

On the Privacy Guarantees of Differentially Private Stochastic Gradient Descent.

Shahab Asoodeh, Mario Díaz

Proceedings of the IEEE International Symposium on Information Theory, 2024

2023

Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses.

Shahab Asoodeh, Mario Díaz

CoRR, 2023

On the Inevitability of the Rashomon Effect.

Lucas Monteiro Paes, Rodrigo Cruz, Flávio P. Calmon, Mario Díaz

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization.

Tyler Sypherd, Mario Díaz, John Kevin Cava, Gautam Dasarathy, Peter Kairouz, Lalitha Sankar

IEEE Trans. Inf. Theory, 2022

2021

To Split or not to Split: The Impact of Disparate Treatment in Classification.

Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon

IEEE Trans. Inf. Theory, 2021

Lower Bounds for the Minimum Mean-Square Error via Neural Network-based Estimation.

Mario Díaz, Peter Kairouz, Lalitha Sankar

CoRR, 2021

Neural Network-based Estimation of the MMSE.

Mario Díaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar

Proceedings of the IEEE International Symposium on Information Theory, 2021

The Impact of Split Classifiers on Group Fairness.

Hao Wang, Hsiang Hsu, Mario Díaz, Flávio P. Calmon

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

On the Robustness of Information-Theoretic Privacy Measures and Mechanisms.

Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar

IEEE Trans. Inf. Theory, 2020

Privacy Analysis of Online Learning Algorithms via Contraction Coefficients.

Shahab Asoodeh, Mario Díaz, Flávio P. Calmon

CoRR, 2020

On the alpha-loss Landscape in the Logistic Model.

Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy

CoRR, 2020

On the α-loss Landscape in the Logistic Model.

Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy

Proceedings of the IEEE International Symposium on Information Theory, 2020

Privacy Amplification of Iterative Algorithms via Contraction Coefficients.

Shahab Asoodeh, Mario Díaz, Flávio P. Calmon

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Estimation Efficiency Under Privacy Constraints.

Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder

IEEE Trans. Inf. Theory, 2019

Theoretical Guarantees for Model Auditing with Finite Adversaries.

Mario Díaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar

CoRR, 2019

A Tunable Loss Function for Classification.

Tyler Sypherd, Mario Díaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy

CoRR, 2019

An Information-Theoretic View of Generalization via Wasserstein Distance.

Hao Wang, Mario Díaz, José Cândido Silveira Santos Filho, Flávio P. Calmon

Proceedings of the IEEE International Symposium on Information Theory, 2019

A Tunable Loss Function for Binary Classification.

Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

On the Contractivity of Privacy Mechanisms.

Mario Díaz, Lalitha Sankar, Peter Kairouz

CoRR, 2018

On the Noise-Information Separation of a Private Principal Component Analysis Scheme.

Mario Díaz, Shahab Asoodeh, Fady Alajaji, Tamás Linder, Serban Teodor Belinschi, James A. Mingo

CoRR, 2018

The Utility Cost of Robust Privacy Guarantees.

Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017

On the Capacity of Block Multiantenna Channels.

Mario Díaz, Víctor Pérez-Abreu

IEEE Trans. Inf. Theory, 2017

Privacy-aware guessing efficiency.

Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

Information Extraction Under Privacy Constraints.

Shahab Asoodeh, Mario Díaz, Fady Alajaji, Tamás Linder

Inf., 2016

On the symmetries and the capacity achieving input covariance matrices of multiantenna channels.

Mario Díaz

Proceedings of the IEEE International Symposium on Information Theory, 2016

2014

On the Asymptotic Ergodic Capacity of Correlated Multiantenna Channels using Finite Dimensional Statistics.

Mario Díaz, Víctor Pérez-Abreu

CoRR, 2014