Francesco Trovò

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 53

Top Topics

Sensor Networks

Advertising Campaigns

Continuous Action

Top Venues

Publications

Martino Bernasconi, Alberto Marchesi, Francesco Trovò
Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games. AISTATS (2024)
Oscar Cartagena, Francesco Trovò, Manuel Roveri, Doris Sáez
Evolving Fuzzy Prediction Intervals in Nonstationary Environments. IEEE Trans. Emerg. Top. Comput. Intell. 8 (1) (2024)
Paolo Battellani, Alberto Maria Metelli, Francesco Trovò
Dissimilarity Bandits. AISTATS (2024)
Oscar Cartagena, Francesco Trovò, Doris Sáez
A multivariate approach for fuzzy prediction interval design and its application for a climatization system forecasting. Expert Syst. Appl. 255 (2024)
Marco Gabrielli, Manuela Antonelli, Francesco Trovò
Adapting bandit algorithms for settings with sequentially available arms. Eng. Appl. Artif. Intell. 131 (2024)
Daniele Manfredonia, Seiichi Harata, Takuto Sakuma, Francesco Trovò, Shohei Kato
Prediction of Kellgren-Lawrence Grade of Knee Osteoarthritis by Deep Residual Networks Using MR Image with Segmented Image and Slice Position. ICAART (3) (2024)
Tommaso Paladini, Martino Bernasconi de Luca, Michele Carminati, Mario Polino, Francesco Trovò, Stefano Zanero
Advancing Fraud Detection Systems Through Online Learning. ECML/PKDD (6) (2023)
Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli, Nicola Gatti
Dynamic Pricing with Volume Discounts in Online Settings. AAAI (2023)
Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
ARLO: A framework for Automated Reinforcement Learning. Expert Syst. Appl. 224 (2023)
Filippo Fedeli, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti
Constrained Phi-Equilibria. ICML (2023)
Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. ICML (2023)
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti
Constrained Phi-Equilibria. CoRR (2023)
Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli
Best Arm Identification for Stochastic Rising Bandits. CoRR (2023)
Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti, Francesco Trovò
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. CoRR (2023)
Michele Zanitti, Mieszko Ferens, Alberto Ferrarin, Francesco Trovò, Vanja Miskovic, Arsela Prelaj, Ming Shen, Sokol Kosta
MetaLung: Towards a Secure Architecture for Lung Cancer Patient Care on the Metaverse. MetaCom (2023)
Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
ARLO: A Framework for Automated Reinforcement Learning. CoRR (2022)
Martino Bernasconi, Federico Cacciamani, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints. ICML (2022)
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò
Sequential Information Design: Learning to Persuade in the Dark. NeurIPS (2022)
Martino Bernasconi, Stefano Martino, Edoardo Vittori, Francesco Trovò, Marcello Restelli
Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach. ICAIF (2022)
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò
Sequential Information Design: Learning to Persuade in the Dark. CoRR (2022)
Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò
The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings. AAMAS (2022)
Giulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti, Marcello Restelli
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts. IJCAI (2022)
Giulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti, Marcello Restelli
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts. CoRR (2022)
Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli
Stochastic Rising Bandits. ICML (2022)
Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli
Online joint bid/daily budget optimization of Internet advertising campaigns. Artif. Intell. 305 (2022)
Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli
Stochastic Rising Bandits. CoRR (2022)
Martino Bernasconi, Alberto Marchesi, Francesco Trovò
Last-iterate Convergence to Trembling-hand Perfect Equilibria. CoRR (2022)
Matteo Castiglioni, Alessandro Nuara, Giulia Romano, Giorgio Spadaro, Francesco Trovò, Nicola Gatti
Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty. CoRR (2022)
Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli, Nicola Gatti
Dynamic Pricing with Volume Discounts in Online Settings. CoRR (2022)
Marco Mussi, Gianmarco Genalti, Francesco Trovò, Alessandro Nuara, Nicola Gatti, Marcello Restelli
Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits. KDD (2022)
Martino Bernasconi de Luca, Edoardo Vittori, Francesco Trovò, Marcello Restelli
Conservative Online Convex Optimization. ECML/PKDD (1) (2021)
Martino Bernasconi de Luca, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò
Exploiting Opponents Under Utility Constraints in Sequential Games. NeurIPS (2021)
Gerlando Re, Fabio Chiusano, Francesco Trovò, Diego Carrera, Giacomo Boracchi, Marcello Restelli
Exploiting History Data for Nonstationary Multi-armed Bandit. ECML/PKDD (1) (2021)
Marco Gabrielli, Francesco Trovò, Manuela Antonelli
Adapting Bandit Algorithms for Settings with Sequentially Available Arms. CoRR (2021)
Alessandro Nuara, Francesco Trovò, Nicola Gatti
A privacy-preserving tests optimization algorithm for epidemics containment. CoRR (2020)
Edoardo Vittori, Martino Bernasconi de Luca, Francesco Trovò, Marcello Restelli
Dealing with transaction costs in portfolio optimization: online gradient descent with momentum. ICAIF (2020)
Alberto Marchesi, Francesco Trovò, Nicola Gatti
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. AAMAS (2020)
Alessandro Nuara, Francesco Trovò, Dominic Crippa, Nicola Gatti, Marcello Restelli
Driving Exploration by Maximum Distribution in Gaussian Process Bandits. AAMAS (2020)
Francesco Trovò, Marcello Restelli, Nicola Gatti
Sliding-Window Thompson Sampling for Non-Stationary Settings. J. Artif. Intell. Res. 68 (2020)
Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns. CoRR (2020)
Alessandro Nuara, Nicola Sosio, Francesco Trovò, Maria Chiara Zaccardi, Nicola Gatti, Marcello Restelli
Dealing with Interdependencies and Uncertainty in Multi-Channel Advertising Campaigns Optimization. WWW (2019)
Alberto Marchesi, Francesco Trovò, Nicola Gatti
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. CoRR (2019)
Margherita Gasparini, Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli
Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback. IJCNN (2018)
Francesco Trovò, Stefano Paladino, Marcello Restelli, Nicola Gatti
Improving multi-armed bandit algorithms in online pricing settings. Int. J. Approx. Reason. 98 (2018)
Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli
A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns. AAAI (2018)
Francesco Trovò, Stefano Paladino, Paolo Simone, Marcello Restelli, Nicola Gatti
Risk-averse trees for learning from logged bandit feedback. IJCNN (2017)
Manuel Roveri, Francesco Trovò
An Ensemble Approach for Cognitive Fault Detection and Isolation in Sensor Networks. Int. J. Neural Syst. 27 (3) (2017)
Stefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti
Unimodal Thompson Sampling for Graph-Structured Arms. AAAI (2017)
Lorenzo Bisi, Giuseppe De Nittis, Francesco Trovò, Marcello Restelli, Nicola Gatti
Regret Minimization Algorithms for the Followers Behaviour Identification in Leadership Games. UAI (2017)
Giuseppe De Nittis, Francesco Trovò
Machine Learning Techniques for Stackelberg Security Games: a Survey. CoRR (2016)
Stefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti
Unimodal Thompson Sampling for Graph-Structured Arms. CoRR (2016)
Francesco Trovò, Stefano Paladino, Marcello Restelli, Nicola Gatti
Budgeted Multi-Armed Bandit in Continuous Action Space. ECAI (2016)
Nicola Gatti, Alessandro Lazaric, Marco Rocco, Francesco Trovò
Truthful learning mechanisms for multi-slot sponsored search auctions with externalities. Artif. Intell. 227 (2015)
Cesare Alippi, Manuel Roveri, Francesco Trovò
Learning causal dependencies to etect and diagnose faults in sensor networks. IES (2014)
Nicola Gatti, Alessandro Lazaric, Marco Rocco, Francesco Trovò
Truthful Learning Mechanisms for Multi-Slot Sponsored Search Auctions with Externalities. CoRR (2014)
Cesare Alippi, Manuel Roveri, Francesco Trovò
A Self-Building and Cluster-Based Cognitive Fault Diagnosis System for Sensor Networks. IEEE Trans. Neural Networks Learn. Syst. 25 (6) (2014)
Matteo Ferroni, Andrea Cazzola, Francesco Trovò, Donatella Sciuto, Marco Domenico Santambrogio
On Power and Energy Consumption Modeling for Smart Mobile Devices. EUC (2014)
Manuel Roveri, Francesco Trovò
An Ensemble of HMMs for Cognitive Fault Detection in Distributed Sensor Networks. AIAI (2014)
A. A. Nacci, Francesco Trovò, Filippo Maggi, Matteo Ferroni, Andrea Cazzola, Donatella Sciuto, Marco D. Santambrogio
Adaptive and Flexible Smartphone Power Modeling. Mob. Networks Appl. 18 (5) (2013)
Cesare Alippi, Manuel Roveri, Francesco Trovò
A "Learning from Models" Cognitive Fault Diagnosis System. ICANN (2) (2012)
Nicola Gatti, Alessandro Lazaric, Francesco Trovò
A truthful learning mechanism for contextual multi-slot sponsored search auctions with externalities. EC (2012)
Nicola Gatti, Alessandro Lazaric, Francesco Trovò
A truthful learning mechanism for multi-slot sponsored search auctions with externalities. AAMAS (2012)