Algo Carè

Welcome to the homepage of
Algo Carè

Dept. of Information Engineering
University of Brescia
via Branze, 38
25123 Brescia
ITALY

e-mail: algo.care (at) gmail.com

Past Positions

Research Fellow at
The University of Melbourne

Department of Electrical and Electronic Engineering
Melbourne School of Engineering

ERCIM Fellow at

EMI - Engineering and Management Intelligence Laboratory,
SZTAKI - Institute for Computer Science and Control,
MTA - Hungarian Academy of Sciences

ERCIM Fellow at

CWI logo

CWI - Centrum Wiskunde & Informatica
(National Research Institute for Mathematics and Computer Science)

RESEARCH TOPICS

Scenario Approach
System Identification
Learning Theory
Model Selection

PEOPLE

        Marco C. Campi - University of Brescia
        Simone Garatti - Politecnico di Milano
Erik Weyer - University of Melbourne
Balázs Csanád Csáji - SZTAKI
        Enrico Camporeale - CWI
Fabio Baronio- University of Brescia

Selected Publications

A. Carè, B.Cs. Csáji, M.C. Campi, E. Weyer
“Finite-Sample System Identification: An Overview and a New Correlation Method,”
IEEE Control Systems Letters, Online ISSN: 2475-1456 [doi: 10.1109/LCSYS.2017.2720969], 2017
A. Carè, S. Garatti, M.C. Campi,
“A Coverage Theory for Least Squares,”
Journal of the Royal Statistical Society: Series B (Statistical Methodology), online-first [doi: 10.1111/rssb.12219], 2016
authors' self-archived copy (personal use),
supplementary material
A. Carè, S. Garatti, M.C. Campi,
“Scenario min-max optimization and the risk of empirical costs,”
SIAM Journal on Optimization. 25(4):2061-2080, 2015
*** Winner of the triennial Stochastic Programming Society Student Paper Prize 2016 (received during the XIV ICSP) ***
A. Carè, S. Garatti, M.C. Campi,
“FAST-Fast Algorithm for the Scenario Technique,”
Operations Research. 62(3):662-671. 2014
M.C. Campi, A. Carè,
“Random convex programs with L1-regularization: Sparsity and generalization,”
SIAM Journal on Control and Optimization. 51(5):3532-3557. 2013

(see also my Google Scholar Profile)

Book Chapter

A. Carè, E. Camporeale (2018)
Regression, in Machine Learning Techniques for Space Weather (Elsevier)
[doi: 10.1016/B978-0-12-811788-0.00004-4]

Some presentations slides

14^th International Conference on Stochastic Programming (Búzios, Brazil, 2016)
"Scenario Min-Max Optimization and the Risk of Empirical Costs" - Slides
(XIV ICSP)

Ph.D. Thesis presentation (12 Marzo 2013)
"Data-Based Optimization for Applications to Decision-Making, Identification and Control - A Study of Coverage Properties" - Slides (in Italian)
Link to the Ph.D. Thesis.

18^th IFAC World Congress (Milan, Italy, 2011)
Presentation of the paper:
"FAST: an algorithm for the scenario approach with reduced sample complexity" - Slides

S.I.D.R.A. Conference 2010 (L'Aquila, Italy, 13-15 September 2010)
Data-driven optimization through the scenario approach - Slides

Seminar (16 May 2012, 30 May 2011, 18 June 2009) - Master Thesis Presentation (26 March 2009)
Un nuovo algoritmo per costruzione di classificatori da dati sperimentali con errore di generalizzazione garantito - Slides (in Italian): 2009, 2011, 2012
Link to the Master Thesis

Miscellanea

Slides of a short and definitely non-specialist talk on Cantor's theory of the infinite (2011).