Marco C. Campi

Marco C. Campi

Brescia University

H-index: 43

North America-United States

About Marco C. Campi

Marco C. Campi, With an exceptional h-index of 43 and a recent h-index of 29 (since 2020), a distinguished researcher at Brescia University, specializes in the field of stochastic optimization, randomized algorithms, control, system identification, learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Pick-to-Learn algorithm: Empowering compression for tight generalization bounds and improved post-training performance

Non-convex scenario optimization

Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version)

Scenario Optimization with Constraint Relaxation in a Non-Convex Setup: A Flexible and General Framework for Data-Driven Design

On conditional risk assessments in scenario optimization

Inductive knowledge under dominance

Compression, generalization and learning

Compression at the service of learning: a case study for the Guaranteed Error Machine

Marco C. Campi Information

University

Position

professor

Citations(all)

10181

Citations(since 2020)

4432

Cited By

7677

hIndex(all)

43

hIndex(since 2020)

29

i10Index(all)

107

i10Index(since 2020)

56

Email

University Profile Page

Brescia University

Google Scholar

View Google Scholar Profile

Marco C. Campi Skills & Research Interests

stochastic optimization

randomized algorithms

control

system identification

learning

Top articles of Marco C. Campi

Title

Journal

Author(s)

Publication Date

The Pick-to-Learn algorithm: Empowering compression for tight generalization bounds and improved post-training performance

Advances in Neural Information Processing Systems

Dario Paccagnan

Marco Campi

Simone Garatti

2024/2/13

Non-convex scenario optimization

Mathematical Programming

Simone Garatti

Marco C Campi

2024/4/8

Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version)

arXiv preprint arXiv:2402.11528

Algo Carè

Erik Weyer

Balázs Cs Csáji

Marco C Campi

2024/2/18

Scenario Optimization with Constraint Relaxation in a Non-Convex Setup: A Flexible and General Framework for Data-Driven Design

Simone Garatti

Marco C Campi

2023/12/13

On conditional risk assessments in scenario optimization

SIAM Journal on Optimization

Simone Garatti

Marco C Campi

2023/6/30

Inductive knowledge under dominance

Synthese

Marco C Campi

2023/5/16

Compression, generalization and learning

Journal of Machine Learning Research

Marco C Campi

Simone Garatti

2023

Compression at the service of learning: a case study for the Guaranteed Error Machine

Simone Garatti

Marco C Campi

2022/12/6

Complexity is an effective observable to tune early stopping in scenario optimization

IEEE Transactions on Automatic Control

Simone Garatti

Algo Carè

Marco Claudio Campi

2022/2/25

Risk and complexity in scenario optimization

Mathematical Programming

Simone Garatti

Marco C Campi

2022/1

State Conditional Filtering

IEEE Transactions on Automatic Control

Algo Carè

Marco Claudio Campi

Erik Weyer

2021/8/10

Facing undermodelling in Sign-Perturbed-Sums system identification

Systems & Control Letters

Algo Carè

Marco Claudio Campi

B Cs Csáji

Erik Weyer

2021/7/1

A theory of the risk for optimization with relaxation and its application to support vector machines

Journal of Machine Learning Research

Marco C Campi

Simone Garatti

2021

On the consistency of the risk evaluation in the scenario approach

Simone Garatti

Marco C Campi

2021/12/14

The scenario approach: A tool at the service of data-driven decision making

Marco C Campi

Algo Carè

Simone Garatti

2021/1/1

A theory of the risk for empirical CVaR with application to portfolio selection

Journal of Systems Science and Complexity

Giorgio Arici

Marco C Campi

Algo Carè

Marco Dalai

Federico A Ramponi

2021/10

The risk of making decisions from data through the lens of the scenario approach

IFAC-PapersOnLine

Simone Garatti

Marco C Campi

2021/1/1

Scenario optimization with relaxation: a new tool for design and application to machine learning problems

Marco C Campi

Simone Garatti

2020/12/14

Novel bounds on the probability of misclassification in majority voting: leveraging the majority size

IEEE Control Systems Letters

ATJR Cobbenhagen

A Carè

MC Campi

FA Ramponi

DJ Antunes

...

2020/11/26

A study on majority-voting classifiers with guarantees on the probability of error

IFAC-PapersOnLine

Algo Carè

Marco C Campi

Federico A Ramponi

Simone Garatti

ATJ Roy Cobbenhagen

2020/1/1

See List of Professors in Marco C. Campi University(Brescia University)

Co-Authors

H-index: 116
Brian Anderson

Brian Anderson

Australian National University

H-index: 87
Joao Hespanha

Joao Hespanha

University of California, Santa Barbara

H-index: 59
Mathukumalli Vidyasagar

Mathukumalli Vidyasagar

Indian Institute of Technology Hyderabad

H-index: 59
Sergio Matteo Savaresi

Sergio Matteo Savaresi

Politecnico di Milano

H-index: 44
Sergio Bittanti

Sergio Bittanti

Politecnico di Milano

H-index: 43
Matthew R James

Matthew R James

Australian National University

academic-engine