activity
20142022
most citedGeneralization bounds and algorithms for estimating conditional average treatment effect of dosage

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

collaborators

8 papers

cs.LG2022★ 3 cited

Generalization bounds and algorithms for estimating conditional average treatment effect of dosage

Alexis Bellot, Anish Dhir, Giulia Prando

We investigate the task of estimating the conditional average causal effect of treatment-dosage pairs from a combination of observational data and assumptions on the causal relatio…

cs.AI2020★ 2 cited

Learning medical triage from clinicians using Deep Q-Learning

Albert Buchard, Baptiste Bouvier, Giulia Prando +10

Medical Triage is of paramount importance to healthcare systems, allowing for the correct orientation of patients and allocation of the necessary resources to treat them adequately…

eess.SY2018

The role of noise modeling in the estimation of resting-state brain effective connectivity

Giulia Prando, Mattia Zorzi, Alessandra Bertoldo +1

Causal relations among neuronal populations of the brain are studied through the so-called effective connectivity (EC) network. The latter is estimated from EEG or fMRI measurement…

math.OC2017

Estimating effective connectivity in linear brain network models

Giulia Prando, Mattia Zorzi, Alessandra Bertoldo +1

Contemporary neuroscience has embraced network science to study the complex and self-organized structure of the human brain; one of the main outstanding issues is that of inferring…

eess.SY2016

On-line Bayesian System Identification

Diego Romeres, Giulia Prando, Gianluigi Pillonetto +1

We consider an on-line system identification setting, in which new data become available at given time steps. In order to meet real-time estimation requirements, we propose a tailo…

eess.SY2015

Maximum Entropy Vector Kernels for MIMO system identification

Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso

Recent contributions have framed linear system identification as a nonparametric regularized inverse problem. Relying on -type regularization which accounts for the stabili…