Francesco Trovò

Doris Sáez

Expert Syst. Appl., 2024

Adapting bandit algorithms for settings with sequentially available arms.

[BibT_eX]

[DOI]

Marco Gabrielli

Manuela Antonelli

Eng. Appl. Artif. Intell., 2024

Sliding-Window Thompson Sampling for Non-Stationary Settings.

[BibT_eX]

[DOI]

Marco Fiandri

CoRR, 2024

Best Arm Identification for Stochastic Rising Bandits.

[BibT_eX]

[DOI]

Marco Mussi

Alessandro Montenegro

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Prediction of Kellgren-Lawrence Grade of Knee Osteoarthritis by Deep Residual Networks Using MR Image with Segmented Image and Slice Position.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games.

[BibT_eX]

[DOI]

Martino Bernasconi

Alberto Marchesi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Dissimilarity Bandits.

[BibT_eX]

[DOI]

Paolo Battellani

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems.

[BibT_eX]

[DOI]

Filippo Fedeli

IEEE Trans. Neural Networks Learn. Syst., October, 2023

ARLO: A framework for Automated Reinforcement Learning.

[BibT_eX]

[DOI]

Marco Mussi

Davide Lombarda

Expert Syst. Appl., August, 2023

Advancing Fraud Detection Systems Through Online Learning.

[BibT_eX]

[DOI]

Tommaso Paladini

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

MetaLung: Towards a Secure Architecture for Lung Cancer Patient Care on the Metaverse.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Metaverse Computing, 2023

Constrained Phi-Equilibria.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Dynamic Pricing with Volume Discounts in Online Settings.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Last-iterate Convergence to Trembling-hand Perfect Equilibria.

[BibT_eX]

[DOI]

Martino Bernasconi

Alberto Marchesi

CoRR, 2022

Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2022

Online joint bid/daily budget optimization of Internet advertising campaigns.

[BibT_eX]

[DOI]

Artif. Intell., 2022

Sequential Information Design: Learning to Persuade in the Dark.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Stochastic Rising Bandits.

[BibT_eX]

[DOI]

Matteo Pirola

Proceedings of the International Conference on Machine Learning, 2022

Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach.

[BibT_eX]

[DOI]

Proceedings of the 3rd ACM International Conference on AI in Finance, 2022

The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Exploiting History Data for Nonstationary Multi-armed Bandit.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Conservative Online Convex Optimization.

[BibT_eX]

[DOI]

Edoardo Vittori

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Exploiting Opponents Under Utility Constraints in Sequential Games.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Sliding-Window Thompson Sampling for Non-Stationary Settings.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2020

A privacy-preserving tests optimization algorithm for epidemics containment.

[BibT_eX]

[DOI]

Alessandro Nuara

CoRR, 2020

Dealing with transaction costs in portfolio optimization: online gradient descent with momentum.

[BibT_eX]

[DOI]

Edoardo Vittori

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

Driving Exploration by Maximum Distribution in Gaussian Process Bandits.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces.

[BibT_eX]

[DOI]

Alberto Marchesi

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization.

[BibT_eX]

[DOI]

Alessandro Nuara

Nicola Sosio

Maria Chiara Zaccardi

Proceedings of the World Wide Web Conference, 2019

2018

Improving multi-armed bandit algorithms in online pricing settings.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2018

Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

An Ensemble Approach for Cognitive Fault Detection and Isolation in Sensor Networks.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2017

Regret Minimization Algorithms for the Followers Behaviour Identification in Leadership Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Risk-averse trees for learning from logged bandit feedback.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Unimodal Thompson Sampling for Graph-Structured Arms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Making Intelligent the Embedded Systems Through Cognitive Outlier and Fault Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Machine Learning Techniques for Stackelberg Security Games: a Survey.

[BibT_eX]

[DOI]

Giuseppe De Nittis

CoRR, 2016

Budgeted Multi-Armed Bandit in Continuous Action Space.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

A cognitive fault detection and diagnosis system for sensor networks.

[BibT_eX]

[DOI]

PhD thesis, 2015

Truthful learning mechanisms for multi-slot sponsored search auctions with externalities.

[BibT_eX]

[DOI]

Artif. Intell., 2015

2014

A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks.

[BibT_eX]

[DOI]

Cesare Alippi

IEEE Trans. Neural Networks Learn. Syst., 2014

An Ensemble of HMMs for Cognitive Fault Detection in Distributed Sensor Networks.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Learning causal dependencies to etect and diagnose faults in sensor networks.

[BibT_eX]

[DOI]

Cesare Alippi

Marco Domenico Santambrogio

Proceedings of the IEEE Symposium on Intelligent Embedded Systems, 2014

On Power and Energy Consumption Modeling for Smart Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Embedded and Ubiquitous Computing, 2014

2013

Adaptive and Flexible Smartphone Power Modeling.

[BibT_eX]

[DOI]

Marco D. Santambrogio

Mob. Networks Appl., 2013

2012

A truthful learning mechanism for contextual multi-slot sponsored search auctions with externalities.

[BibT_eX]

[DOI]

Alessandro Lazaric

Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

A "Learning from Models" Cognitive Fault Diagnosis System.

[BibT_eX]

[DOI]

Cesare Alippi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

A truthful learning mechanism for multi-slot sponsored search auctions with externalities.

[BibT_eX]

[DOI]

Alessandro Lazaric