Francesco Trovò

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All published works

Action	Title	Year	Authors
+ PDF Chat	Rising Rested Bandits: Lower Bounds and Efficient Algorithms	2024	Marco Fiandri Alberto Maria Metelli Francesco Trovò
+ PDF Chat	Sliding-Window Thompson Sampling for Non-Stationary Settings	2024	Marco Fiandri Alberto Maria Metelli Francesco Trovò
+	A multivariate approach for fuzzy prediction interval design and its application for a climatization system forecasting	2024	Oscar Cartagena Francesco Trovò Doris Sáez
+	Adapting bandit algorithms for settings with sequentially available arms	2024	Marco Gabrielli Manuela Antonelli Francesco Trovò
+ PDF Chat	Dynamic Pricing with Volume Discounts in Online Settings	2023	Marco Mussi Gianmarco Genalti Alessandro Nuara Francesco Trovò Marcello Restelli Nicola Gatti
+	ARLO: A framework for Automated Reinforcement Learning	2023	Marco Mussi Davide Lombarda Alberto Maria Metelli Francesco Trovò Marcello Restelli
+	Constrained Phi-Equilibria	2023	Martino Bernasconi Matteo Castiglioni Alberto Marchesi Francesco Trovò Nicola Gatti
+	Best Arm Identification for Stochastic Rising Bandits	2023	Marco Mussi Alessandro Montenegro Francesco Trovò Marcello Restelli Alberto Maria Metelli
+	Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion	2023	Martino Bernasconi Matteo Castiglioni Andrea Celli Alberto Marchesi Nicola Gatti Francesco Trovò
+ PDF Chat	Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts	2022	Giulia Romano Andrea Agostini Francesco Trovò Nicola Gatti Marcello Restelli
+ PDF Chat	Online joint bid/daily budget optimization of Internet advertising campaigns	2022	Alessandro Nuara Francesco Trovò Nicola Gatti Marcello Restelli
+	Safe Online Bid Optimization with Return-On-Investment and Budget Constraints subject to Uncertainty	2022	Matteo Castiglioni Alessandro Nuara Giulia Romano Giorgio Spadaro Francesco Trovò Nicola Gatti
+	ARLO: A Framework for Automated Reinforcement Learning	2022	Marco Mussi Davide Lombarda Alberto Maria Metelli Francesco Trovò Marcello Restelli
+	Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts	2022	Giulia Romano Andrea Agostini Francesco Trovò Nicola Gatti Marcello Restelli
+	Sequential Information Design: Learning to Persuade in the Dark	2022	Martino Bernasconi Matteo Castiglioni Alberto Marchesi Nicola Gatti Francesco Trovò
+	Last-iterate Convergence to Trembling-hand Perfect Equilibria	2022	Martino Bernasconi Alberto Marchesi Francesco Trovò
+	Dynamic Pricing with Volume Discounts in Online Settings	2022	Marco Mussi Gianmarco Genalti Alessandro Nuara Francesco Trovò Marcello Restelli Nicola Gatti
+	Stochastic Rising Bandits	2022	Alberto Maria Metelli Francesco Trovò Matteo Pirola Marcello Restelli
+	Adapting Bandit Algorithms for Settings with Sequentially Available Arms	2021	Marco Gabrielli Francesco Trovò Manuela Antonelli
+ PDF Chat	Sliding-Window Thompson Sampling for Non-Stationary Settings	2020	Francesco Trovò Stefano Paladino Marcello Restelli Nicola Gatti
+	Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces	2020	Alberto Marchesi Francesco Trovò Nicola Gatti
+	A privacy-preserving tests optimization algorithm for epidemics containment	2020	Alessandro Nuara Francesco Trovò Nicola Gatti
+	Online Joint Bid/Daily Budget Optimization of Internet Advertising Campaigns	2020	Alessandro Nuara Francesco Trovò Nicola Gatti Marcello Restelli
+	Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces	2019	Alberto Marchesi Francesco Trovò Nicola Gatti
+ PDF Chat	Unimodal Thompson Sampling for Graph-Structured Arms	2017	Stefano Paladino Francesco Trovò Marcello Restelli Nicola Gatti
+	Unimodal Thompson Sampling for Graph-Structured Arms	2016	Stefano Paladino Francesco Trovò Marcello Restelli Nicola Gatti
+	Unimodal Thompson Sampling for Graph-Structured Arms	2016	Stefano Paladino Francesco Trovò Marcello Restelli Nicola Gatti
+	Machine Learning Techniques for Stackelberg Security Games: a Survey.	2016	Giuseppe De Nittis Francesco Trovò
+	Machine Learning Techniques for Stackelberg Security Games: a Survey	2016	Giuseppe De Nittis Francesco Trovò
+	Unimodal Thompson Sampling for Graph-Structured Arms	2016	Stefano Paladino Francesco Trovò Marcello Restelli Nicola Gatti
+ PDF Chat	Truthful Learning Mechanisms for Multi–Slot Sponsored Search Auctions with Externalities	2015	Nicola Gatti Alessandro Lazaric Marco Rocco Francesco Trovò
+	Truthful learning mechanisms for multi-slot sponsored search auctions with externalities	2015	Nicola Gatti Alessandro Lazaric Marco Rocco Francesco Trovò
+	Truthful Learning Mechanisms for Multi-Slot Sponsored Search Auctions with Externalities	2014	Nicola Gatti Alessandro Lazaric Marco Rocco Francesco Trovò
+	Truthful Learning Mechanisms for Multi-Slot Sponsored Search Auctions with Externalities	2014	Nicola Gatti Alessandro Lazaric Marco Rocco Francesco Trovò

Common Coauthors

Coauthor	Papers Together
Nicola Gatti	22
Marcello Restelli	15
Alberto Marchesi	6
Alberto Maria Metelli	6
Alessandro Nuara	6
Stefano Paladino	5
Marco Mussi	5
Alessandro Lazaric	4
Martino Bernasconi	4
Marco Rocco	4
Matteo Castiglioni	4
Marco Fiandri	2
Giuseppe De Nittis	2
Manuela Antonelli	2
Davide Lombarda	2
Gianmarco Genalti	2
Andrea Agostini	2
Giulia Romano	2
Matteo Pirola	1
Oscar Cartagena	1
Giorgio Spadaro	1
Alessandro Montenegro	1
Marco Gabrielli	1
Andrea Celli	1
Marco Gabrielli	1
Doris Sáez	1
Giulia Romano	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	On the Likelihood that One Unknown Probability Exceeds Another in View of the Evidence of Two Samples	1933	William Thompson	4
+ PDF Chat	Thompson Sampling: An Asymptotically Optimal Finite-Time Analysis	2012	Emilie Kaufmann Nathaniel Korda Rémi Munos	3
+ PDF Chat	Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems	2012	Sébastien Bubeck Nicolò Cesa‐Bianchi	3
+	Some aspects of the sequential design of experiments	1952	Herbert Robbins	2
+ PDF Chat	Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems	2012	Sébastien Bubeck	2
+	Analysis of Thompson Sampling for the multi-armed bandit problem	2011	Shipra Agrawal Navin Goyal	2
+	Truthful learning mechanisms for multi-slot sponsored search auctions with externalities	2015	Nicola Gatti Alessandro Lazaric Marco Rocco Francesco Trovò	2
+ PDF Chat	A Change-Detection Based Framework for Piecewise-Stationary Multi-Armed Bandit Problem	2018	Fang Liu Joohyun Lee Ness B. Shroff	2
+	ON THE LIKELIHOOD THAT ONE UNKNOWN PROBABILITY EXCEEDS ANOTHER IN VIEW OF THE EVIDENCE OF TWO SAMPLES	1933	W. R THOMPSON	2
+	Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms	2014	Richard Combes Alexandre Proutière	2
+ PDF Chat	Truthful mechanisms with implicit payment computation	2010	Moshe Babaioff Robert Kleinberg Aleksandrs Slivkins	1
+	Further Optimal Regret Bounds for Thompson Sampling	2012	Shipra Agrawal Navin Goyal	1
+	Faces for a linear inequality in 0–1 variables	1975	Laurence A. Wolsey	1
+	Principal component analysis	1987	Svante Wold Kim H. Esbensen Paul Geladi	1
+ PDF Chat	Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms	2011	Lihong Li Wei Chu John Langford Xuanhui Wang	1
+	Fuzzy confidence interval for pH titration curve	2011	Igor Škrjanc	1
+	X-means: Extending K-means with Efficient Estimation of the Number of Clusters	2000	Dan Pelleg Andrew Moore	1
+ PDF Chat	Channel Selection for Network-Assisted D2D Communication via No-Regret Bandit Learning With Calibrated Forecasting	2014	Setareh Maghsudi Sławomir Stańczak	1
+ PDF Chat	Online distributed sensor selection	2010	Daniel Golovin Matthew Faulkner Andreas Krause	1
+	A Generalized Eigenvalue Approach for Solving Riccati Equations	1981	Paul Van Dooren	1
+ PDF Chat	Multi-armed bandits in metric spaces	2008	Robert Kleinberg Aleksandrs Slivkins Eli Upfal	1
+	Efficient Optimal Learning for Contextual Bandits	2011	Miroslav Dudı́k Daniel Hsu Satyen Kale Nikos Karampatziakis John Langford Lev Reyzin Tong Zhang	1
+ PDF Chat	Deep Reinforcement Learning Using Genetic Algorithm for Parameter Optimization	2019	Adarsh Sehgal Hung Manh La Sushil J. Louis Van‐Dinh Nguyen	1
+ PDF Chat	Modeling Human Decision Making in Generalized Gaussian Multiarmed Bandits	2014	Paul Reverdy Vaibhav Srivastava Naomi Ehrich Leonard	1
+ PDF Chat	Inferring the origin of an epidemic with a dynamic message-passing algorithm	2014	Andrey Y. Lokhov Marc Mézard Hiroki Ohta Lenka Zdeborová	1
+ PDF Chat	Cognitive Medium Access: Exploration, Exploitation, and Competition	2010	Lifeng Lai Hesham El Gamal Hai Jiang H. Vincent Poor	1
+	On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems	2008	Aurélien Garivier Éric Moulines	1
+	Interval type-2 fuzzy logic systems: theory and design	2000	Qilian Liang Jerry M. Mendel	1
+ PDF Chat	Sponsored Search Auctions with Markovian Users	2008	Gagan Aggarwal Jon Feldman S. Muthukrishnan Martin Pál	1
+	Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances	2011	Abbas Khosravi Saeid Nahavandi Douglas Creighton Amir F. Atiya	1
+ PDF Chat	Estimating mutual information	2004	Alexander Kraskov Harald Stögbauer Peter Grassberger	1
+	Combinatorial semi-bandit with known covariance	2016	Rémy Degenne Vianney Perchet	1
+ PDF Chat	Real time bid optimization with smooth budget delivery in online advertising	2013	Kuang-Chih Lee Ali Jalali Ali Dasdan	1
+	Tracking the Best Expert in Non-stationary Stochastic Environments	2017	Chen-Yu Wei Yi-Te Hong Chi-Jen Lu	1
+ PDF Chat	Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting	2017	Jun Wang Weinan Zhang Shuai Yuan	1
+	FOR LEAST-SQUARES POLICY ITERATION	2016	Devin Schwab	1
+	Stochastic Bandit Models for Delayed Conversions	2017	Claire Vernade Olivier Cappé Vianney Perchet	1
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	1
+	Efficient Contextual Bandits in Non-stationary Worlds	2017	Haipeng Luo Chen-Yu Wei Alekh Agarwal John Langford	1
+ PDF Chat	A brief survey of deep reinforcement learning	2017	Kai Arulkumaran Marc Peter Deisenroth Miles Brundage Anil A. Bharath	1
+	Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control	2017	Riashat Islam Peter Henderson Maziar Gomrokchi Doina Precup	1
+ PDF Chat	Bandit learning in concave N-person games	2018	Mario Bravo David S. Leslie Panayotis Mertikopoulos	1
+ PDF Chat	Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization	2019	Bryan Wilder Bistra Dilkina Milind Tambe	1
+ PDF Chat	Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games	2019	Chun Kai Ling Fei Fang J. Zico Kolter	1
+ PDF Chat	The Music Streaming Sessions Dataset	2019	Brian M. Brost Rishabh Mehrotra Tristan Jehan	1
+	Competitive Bridge Bidding with Deep Neural Networks	2019	Rong Jiang Tao Qin Bo An	1
+ PDF Chat	Multi-Touch Attribution Based Budget Allocation in Online Advertising	2014	Sahin Cem Geyik Abhishek Saxena Ali Dasdan	1
+ PDF Chat	Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science	2016	Randal S. Olson Nathan Bartley Ryan J. Urbanowicz Jason H. Moore	1
+	From Bandits to Experts: A Tale of Domination and Independence	2013	Noga Alon Nicolò Cesa‐Bianchi Claudio Gentile Yishay Mansour	1
+	Learning Adversary Behavior in Security Games: A PAC Model Perspective	2015	Arunesh Sinha Debarun Kar Milind Tambe	1