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2020 – today
- 2025
[j13]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò:
Online learning in sequential Bayesian persuasion: Handling unknown priors. Artif. Intell. 338: 104245 (2025)- 2024
- [j12]Marco Gabrielli
, Manuela Antonelli, Francesco Trovò:
Adapting bandit algorithms for settings with sequentially available arms. Eng. Appl. Artif. Intell. 131: 107815 (2024) - [j11]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: 124715 (2024) - [j10]Oscar Cartagena, Francesco Trovò, Manuel Roveri, Doris Sáez:
Evolving Fuzzy Prediction Intervals in Nonstationary Environments. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 903-916 (2024) - [c35]Martino Bernasconi, Alberto Marchesi, Francesco Trovò:
Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games. AISTATS 2024: 2152-2160 - [c34]Paolo Battellani, Alberto Maria Metelli, Francesco Trovò:
Dissimilarity Bandits. AISTATS 2024: 3637-3645 - [c33]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: 1300-1307 - [c32]Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli:
Best Arm Identification for Stochastic Rising Bandits. ICML 2024 - [i18]Marco Fiandri, Alberto Maria Metelli, Francesco Trovò:
Sliding-Window Thompson Sampling for Non-Stationary Settings. CoRR abs/2409.05181 (2024) - 2023
- [j9]Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli:
ARLO: A framework for Automated Reinforcement Learning. Expert Syst. Appl. 224: 119883 (2023) - [j8]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): 6813-6823 (2023) - [c31]Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli, Nicola Gatti:
Dynamic Pricing with Volume Discounts in Online Settings. AAAI 2023: 15560-15568 - [c30]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. ICML 2023: 2164-2183 - [c29]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Constrained Phi-Equilibria. ICML 2023: 2184-2205 - [c28]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: 201-208 - [c27]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: 275-292 - [i17]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Constrained Phi-Equilibria. CoRR abs/2301.13600 (2023) - [i16]Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli:
Best Arm Identification for Stochastic Rising Bandits. CoRR abs/2302.07510 (2023) - [i15]Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti, Francesco Trovò:
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion. CoRR abs/2303.01296 (2023) - 2022
- [j7]Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli:
Online joint bid/daily budget optimization of Internet advertising campaigns. Artif. Intell. 305: 103663 (2022) - [c26]Martino Bernasconi, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Francesco Trovò:
The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings. AAMAS 2022: 1545-1547 - [c25]Martino Bernasconi, Stefano Martino, Edoardo Vittori, Francesco Trovò, Marcello Restelli:
Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach. ICAIF 2022: 352-360 - [c24]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: 1854-1873 - [c23]Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli:
Stochastic Rising Bandits. ICML 2022: 15421-15457 - [c22]Giulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti, Marcello Restelli:
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts. IJCAI 2022: 3401-3407 - [c21]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: 3623-3633 - [c20]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò:
Sequential Information Design: Learning to Persuade in the Dark. NeurIPS 2022 - [i14]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 abs/2201.07139 (2022) - [i13]Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli:
ARLO: A Framework for Automated Reinforcement Learning. CoRR abs/2205.10416 (2022) - [i12]Giulia Romano, Andrea Agostini, Francesco Trovò, Nicola Gatti, Marcello Restelli:
Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts. CoRR abs/2206.00586 (2022) - [i11]Martino Bernasconi, Alberto Marchesi, Francesco Trovò:
Last-iterate Convergence to Trembling-hand Perfect Equilibria. CoRR abs/2208.08238 (2022) - [i10]Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti, Francesco Trovò:
Sequential Information Design: Learning to Persuade in the Dark. CoRR abs/2209.03927 (2022) - [i9]Marco Mussi, Gianmarco Genalti, Alessandro Nuara, Francesco Trovò, Marcello Restelli, Nicola Gatti:
Dynamic Pricing with Volume Discounts in Online Settings. CoRR abs/2211.09612 (2022) - [i8]Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli:
Stochastic Rising Bandits. CoRR abs/2212.03798 (2022) - 2021
- [c19]Martino Bernasconi de Luca, Federico Cacciamani, Simone Fioravanti, Nicola Gatti, Alberto Marchesi, Francesco Trovò:
Exploiting Opponents Under Utility Constraints in Sequential Games. NeurIPS 2021: 13177-13188 - [c18]Martino Bernasconi de Luca, Edoardo Vittori, Francesco Trovò, Marcello Restelli:
Conservative Online Convex Optimization. ECML/PKDD (1) 2021: 19-34 - [c17]Gerlando Re, Fabio Chiusano, Francesco Trovò, Diego Carrera, Giacomo Boracchi, Marcello Restelli:
Exploiting History Data for Nonstationary Multi-armed Bandit. ECML/PKDD (1) 2021: 51-66 - [i7]Marco Gabrielli, Francesco Trovò, Manuela Antonelli:
Adapting Bandit Algorithms for Settings with Sequentially Available Arms. CoRR abs/2109.15228 (2021) - 2020
- [j6]Francesco Trovò, Marcello Restelli, Nicola Gatti:
Sliding-Window Thompson Sampling for Non-Stationary Settings. J. Artif. Intell. Res. 68: 311-364 (2020) - [c16]Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. AAMAS 2020: 834-842 - [c15]Alessandro Nuara, Francesco Trovò, Dominic Crippa, Nicola Gatti, Marcello Restelli:
Driving Exploration by Maximum Distribution in Gaussian Process Bandits. AAMAS 2020: 948-956 - [c14]Edoardo Vittori, Martino Bernasconi de Luca, Francesco Trovò, Marcello Restelli:
Dealing with transaction costs in portfolio optimization: online gradient descent with momentum. ICAIF 2020: 11:1-11:8 - [i6]Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli:
Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns. CoRR abs/2003.01452 (2020) - [i5]Alessandro Nuara, Francesco Trovò, Nicola Gatti:
A privacy-preserving tests optimization algorithm for epidemics containment. CoRR abs/2006.15977 (2020)
2010 – 2019
- 2019
- [c13]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: 1376-1386 - [i4]Alberto Marchesi, Francesco Trovò, Nicola Gatti:
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces. CoRR abs/1911.07755 (2019) - 2018
- [j5]Francesco Trovò, Stefano Paladino, Marcello Restelli, Nicola Gatti:
Improving multi-armed bandit algorithms in online pricing settings. Int. J. Approx. Reason. 98: 196-235 (2018) - [c12]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: 2379-2386 - [c11]Margherita Gasparini, Alessandro Nuara, Francesco Trovò, Nicola Gatti, Marcello Restelli:
Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback. IJCNN 2018: 1-8 - 2017
- [j4]Manuel Roveri, Francesco Trovò:
An Ensemble Approach for Cognitive Fault Detection and Isolation in Sensor Networks. Int. J. Neural Syst. 27(3): 1650047:1-1650047:16 (2017) - [c10]Stefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti:
Unimodal Thompson Sampling for Graph-Structured Arms. AAAI 2017: 2457-2463 - [c9]Francesco Trovò, Stefano Paladino, Paolo Simone, Marcello Restelli, Nicola Gatti:
Risk-averse trees for learning from logged bandit feedback. IJCNN 2017: 976-983 - [c8]Lorenzo Bisi, Giuseppe De Nittis, Francesco Trovò, Marcello Restelli, Nicola Gatti:
Regret Minimization Algorithms for the Followers Behaviour Identification in Leadership Games. UAI 2017 - 2016
- [c7]Francesco Trovò, Stefano Paladino, Marcello Restelli, Nicola Gatti:
Budgeted Multi-Armed Bandit in Continuous Action Space. ECAI 2016: 560-568 - [p1]Manuel Roveri, Francesco Trovò:
Making Intelligent the Embedded Systems Through Cognitive Outlier and Fault Detection. Advances in Neural Networks 2016: 381-390 - [i3]Giuseppe De Nittis, Francesco Trovò:
Machine Learning Techniques for Stackelberg Security Games: a Survey. CoRR abs/1609.09341 (2016) - [i2]Stefano Paladino, Francesco Trovò, Marcello Restelli, Nicola Gatti:
Unimodal Thompson Sampling for Graph-Structured Arms. CoRR abs/1611.05724 (2016) - 2015
- [b1]Francesco Trovò:
A cognitive fault detection and diagnosis system for sensor networks. Polytechnic University of Milan, Italy, 2015 - [j3]Nicola Gatti, Alessandro Lazaric, Marco Rocco, Francesco Trovò:
Truthful learning mechanisms for multi-slot sponsored search auctions with externalities. Artif. Intell. 227: 93-139 (2015) - 2014
- [j2]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): 1021-1032 (2014) - [c6]Matteo Ferroni, Andrea Cazzola, Francesco Trovò, Donatella Sciuto, Marco Domenico Santambrogio:
On Power and Energy Consumption Modeling for Smart Mobile Devices. EUC 2014: 273-280 - [c5]Cesare Alippi, Manuel Roveri, Francesco Trovò:
Learning causal dependencies to etect and diagnose faults in sensor networks. IES 2014: 34-41 - [c4]Manuel Roveri, Francesco Trovò:
An Ensemble of HMMs for Cognitive Fault Detection in Distributed Sensor Networks. AIAI 2014: 90-100 - [i1]Nicola Gatti, Alessandro Lazaric, Marco Rocco, Francesco Trovò:
Truthful Learning Mechanisms for Multi-Slot Sponsored Search Auctions with Externalities. CoRR abs/1405.2484 (2014) - 2013
- [j1]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): 600-609 (2013) - 2012
- [c3]Nicola Gatti, Alessandro Lazaric, Francesco Trovò:
A truthful learning mechanism for multi-slot sponsored search auctions with externalities. AAMAS 2012: 1325-1326 - [c2]Cesare Alippi, Manuel Roveri, Francesco Trovò:
A "Learning from Models" Cognitive Fault Diagnosis System. ICANN (2) 2012: 305-313 - [c1]Nicola Gatti, Alessandro Lazaric, Francesco Trovò:
A truthful learning mechanism for contextual multi-slot sponsored search auctions with externalities. EC 2012: 605-622
Coauthor Index
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