Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Mario Diaz

Privacy Analysis of Online Learning Algorithms via Contraction Coefficients


Dec 20, 2020
Shahab Asoodeh, Mario Diaz, Flavio P. Calmon

* Submitted 

  Access Paper or Ask Questions

On the alpha-loss Landscape in the Logistic Model


Jun 22, 2020
Tyler Sypherd, Mario Diaz, Lalitha Sankar, Gautam Dasarathy

* 5 pages, appeared in ISIT 2020 

  Access Paper or Ask Questions

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


Feb 12, 2020
Hao Wang, Hsiang Hsu, Mario Diaz, Flavio P. Calmon


  Access Paper or Ask Questions

Privacy Amplification of Iterative Algorithms via Contraction Coefficients


Jan 17, 2020
Shahab Asoodeh, Mario Diaz, Flavio P. Calmon

* Submitted for publication 

  Access Paper or Ask Questions

Theoretical Guarantees for Model Auditing with Finite Adversaries


Nov 08, 2019
Mario Diaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar

* 18 pages, 1 figure 

  Access Paper or Ask Questions

A Tunable Loss Function for Classification


Jun 26, 2019
Tyler Sypherd, Mario Diaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy

* Corrected email address 

  Access Paper or Ask Questions

A Tunable Loss Function for Binary Classification


Mar 19, 2019
Tyler Sypherd, Mario Diaz, Lalitha Sankar, Peter Kairouz

* 9 pages, 1 figure, ISIT 2019 

  Access Paper or Ask Questions

Information Extraction Under Privacy Constraints


Jan 17, 2016
Shahab Asoodeh, Mario Diaz, Fady Alajaji, Tamás Linder

* 55 pages, 6 figures. Improved the organization and added detailed literature review 

  Access Paper or Ask Questions