11 citations · 37 across the 13 of their papers we have counts for
13 papers
Plainbook: Data Science, in Plain Language
Luca de Alfaro, Mathis Aubert, Ranjit Jhala +2
Jupyter Notebooks have become widely adopted in data science, as they allow the sharing of reproducible computational analysis. They are, however, accessible only to people who und…
Conjugate Natural Selection
Reilly Raab, Luca de Alfaro, Yang Liu
We prove that Fisher-Rao natural gradient descent (FR-NGD) optimally approximates the continuous time replicator equation (an essential model of evolutionary dynamics), and term th…
Identifying Biased Subgroups in Ranking and Classification
Eliana Pastor, Luca de Alfaro, Elena Baralis
When analyzing the behavior of machine learning algorithms, it is important to identify specific data subgroups for which the considered algorithm shows different performance with…
Learning Edge Properties in Graphs from Path Aggregations
Rakshit Agrawal, Luca de Alfaro
Graph edges, along with their labels, can represent information of fundamental importance, such as links between web pages, friendship between users, the rating given by users to o…
Identifying Fake News from Twitter Sharing Data: A Large-Scale Study
Rakshit Agrawal, Luca de Alfaro, Gabriele Ballarin +4
Social networks offer a ready channel for fake and misleading news to spread and exert influence. This paper examines the performance of different reputation algorithms when applie…
A New Family of Neural Networks Provably Resistant to Adversarial Attacks
Rakshit Agrawal, Luca de Alfaro, David Helmbold
Adversarial attacks add perturbations to the input features with the intent of changing the classification produced by a machine learning system. Small perturbations can yield adve…