Francesco Archetti

About Francesco Archetti

Francesco Archetti, With an exceptional h-index of 26 and a recent h-index of 18 (since 2020), a distinguished researcher at Università degli Studi di Milano-Bicocca, specializes in the field of data analytics, computer science, machine learning, network analytics.

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

Prompt Optimization in Large Language Models

Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization

Wasserstein-Enabled Leaks Localization in Water Distribution Networks

Learning and Intelligent Optimization: 16th International Conference, LION 16, Milos Island, Greece, June 5–10, 2022, Revised Selected Papers

Building Resilient and Sustainable Cities Starting from the Urban Transport System

Uncertainty quantification and exploration–exploitation trade-off in humans

A Bayesian approach for prompt optimization in pre-trained language models

Safe Optimal Control of Dynamic Systems: Learning from Experts and Safely Exploring New Policies

Francesco Archetti Information

University

Position

Professor of Computer Science

Citations(all)

2658

Citations(since 2020)

1493

Cited By

1750

hIndex(all)

26

hIndex(since 2020)

18

i10Index(all)

69

i10Index(since 2020)

34

Email

University Profile Page

Google Scholar

Francesco Archetti Skills & Research Interests

data analytics

computer science

machine learning

network analytics

Top articles of Francesco Archetti

Prompt Optimization in Large Language Models

Mathematics

2024/3/21

Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization

Machine Learning

2024/2/28

Wasserstein-Enabled Leaks Localization in Water Distribution Networks

Water

2024/1/27

Learning and Intelligent Optimization: 16th International Conference, LION 16, Milos Island, Greece, June 5–10, 2022, Revised Selected Papers

2023/2/4

Francesco Archetti
Francesco Archetti

H-Index: 17

Building Resilient and Sustainable Cities Starting from the Urban Transport System

2023/1/11

Uncertainty quantification and exploration–exploitation trade-off in humans

Journal of Ambient Intelligence and Humanized Computing

2023

A Bayesian approach for prompt optimization in pre-trained language models

arXiv preprint arXiv:2312.00471

2023/12/1

Safe Optimal Control of Dynamic Systems: Learning from Experts and Safely Exploring New Policies

Mathematics

2023/10/19

Generating Informative Scenarios via Active Learning

2023/9/4

Wasserstein enabled Bayesian optimization of composite functions

Journal of Ambient Intelligence and Humanized Computing

2023/8

Distributional learning in multi-objective optimization of recommender systems

Journal of Ambient Intelligence and Humanized Computing

2023/8

Bayesian optimization over the probability simplex

Annals of Mathematics and Artificial Intelligence

2023/7/18

The unreasonable effectiveness of optimal transport distance in the design of multi-objective evolutionary optimization algorithms

Numerical Computations: Theory and Algorithms NUMTA 2023

2023/6/14

Resource Allocation via Bayesian Optimization: an efficient alternative to Semi-Bandit Feedback

Numerical Computations: Theory and Algorithms NUMTA 2023

2023/6/14

Multi-objective and multiple information source optimization for Fair and Green Machine Learning

Numerical Computations: Theory and Algorithms NUMTA 2023

2023/6/14

Generative Models via Optimal Transport and Gaussian Processes

2023/6/4

A Leak Localization Algorithm in Water Distribution Networks Using Probabilistic Leak Representation and Optimal Transport Distance

2023/6/4

On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty

Annals of Mathematics and Artificial Intelligence

2023/6

Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms

Mathematics

2023/5/17

Explaining Exploration–Exploitation in Humans

Big Data and Cognitive Computing

2022/12/12

See List of Professors in Francesco Archetti University(Università degli Studi di Milano-Bicocca)

Co-Authors

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