activity
20212026
most citedCausal Discovery for Fairness

5 citations · 6 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CY2026

Minimal Effort to Consensus (MEC) polarization measure

Jesús Aranda, Juan Francisco Díaz, Juan Camilo Narváez +4

We introduce the Minimum Effort to Consensus (MEC), a measure that quantifies polarization as resistance to consensus: a population is highly polarized when much effort is needed t…

cs.CR2026

Estimating the True Distribution of Data Collected with Randomized Response

Carlos Antonio Pinzón, Ehab ElSalamouny, Lucas Massot +3

Randomized Response (RR) is a protocol designed to collect and analyze categorical data with local differential privacy guarantees. It has been used as a building block of mechanis…

stat.ML2025

Jeffrey's update rule as a minimizer of Kullback-Leibler divergence

Carlos Pinzón, Catuscia Palamidessi

In this paper, we show a more concise and high level proof than the original one, derived by researcher Bart Jacobs, for the following theorem: in the context of Bayesian update ru…

math.ST2024

Uniform Distributions on p-Balls and the Singular Role of in p-Norm Geometry

Carlos Pinzón

This paper studies the relationship between volume and surface uniform measures on n-dimensional p-balls under the p-norm. It is proved that for p=1, p=2 and p=infinity, and only f…

cs.CR2023

Causal Discovery Under Local Privacy

Rūta Binkytė, Carlos Pinzón, Szilvia Lestyán +3

Differential privacy is a widely adopted framework designed to safeguard the sensitive information of data providers within a data set. It is based on the application of controlled…

cs.MA2022

Counting and Computing Join-Endomorphisms in Lattices (Revisited)

Carlos Pinzón, Santiago Quintero, Sergio Ramírez +2

Structures involving a lattice and join-endomorphisms on it are ubiquitous in computer science. We study the cardinality of the set of all join-endomorphisms of a…

cs.MA2022

On the Computation of Distributed Knowledge as the Greatest Lower Bound of Knowledge

Santiago Quintero, Carlos Pinzón, Sergio Ramírez +1

Let be a finite lattice and be the set of join endomorphisms of . We consider the problem of given and , finding the greatest lo…

cs.CR2022★ 1 cited

Frequency Estimation of Evolving Data Under Local Differential Privacy

Héber H. Arcolezi, Carlos Pinzón, Catuscia Palamidessi +1

Collecting and analyzing evolving longitudinal data has become a common practice. One possible approach to protect the users' privacy in this context is to use local differential p…

cs.CR2022

Minimizing Information Leakage under Padding Constraints

Sebastian Simon, Cezara Petrui, Carlos Pinzón +1

An attacker can gain information of a user by analyzing its network traffic. The size of transferred data leaks information about the file being transferred or the service being us…

cs.AI2022★ 5 cited

Causal Discovery for Fairness

Rūta Binkytė-Sadauskienė, Karima Makhlouf, Carlos Pinzón +2

It is crucial to consider the social and ethical consequences of AI and ML based decisions for the safe and acceptable use of these emerging technologies. Fairness, in particular,…

cs.LG2021

On the impossibility of non-trivial accuracy under fairness constraints

Carlos Pinzón, Catuscia Palamidessi, Pablo Piantanida +1

One of the main concerns about fairness in machine learning (ML) is that, in order to achieve it, one may have to trade off some accuracy. To overcome this issue, Hardt et al. prop…