Nicolò Cesa-Bianchi

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 109

Top Venues

Publications

Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
A Theory of Interpretable Approximations. COLT (2024)
Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
A Theory of Interpretable Approximations. CoRR (2024)
Tianyuan Jin, Kyoungseok Jang, Nicolò Cesa-Bianchi
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries. CoRR (2024)
Giulia Clerici, Pierre Laforgue, Nicolò Cesa-Bianchi
Linear Bandits with Memory. Trans. Mach. Learn. Res. 2024 (2024)
Stephen U. Pasteris, Alberto Rumi, Fabio Vitale, Nicolò Cesa-Bianchi
Sum-max Submodular Bandits. AISTATS (2024)
François Bachoc, Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni
Fair Online Bilateral Trade. CoRR (2024)
Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue
Multitask Online Learning: Listen to the Neighborhood Buzz. AISTATS (2024)
Yuko Kuroki, Alberto Rumi, Taira Tsuchiya, Fabio Vitale, Nicolò Cesa-Bianchi
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits. AISTATS (2024)
Nicolò Cesa-Bianchi, Tommaso Cesari, Riccardo Della Vecchia
Cooperative Online Learning with Feedback Graphs. Trans. Mach. Learn. Res. 2024 (2024)
Nicolò Cesa-Bianchi, Khaled Eldowa, Emmanuel Esposito, Julia Olkhovskaya
Improved Regret Bounds for Bandits with Expert Advice. CoRR (2024)
Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
Information Capacity Regret Bounds for Bandits with Mediator Feedback. CoRR (2024)
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations. STOC (2024)
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
Bilateral Trade: A Regret Minimization Perspective. Math. Oper. Res. 49 (1) (2024)
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. CoRR (2023)
Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts. ICML (2023)
Giulia Clerici, Pierre Laforgue, Nicolò Cesa-Bianchi
Linear Bandits with Memory: from Rotting to Rising. CoRR (2023)
Nicolò Cesa-Bianchi, Roberto Colomboni, Maximilian Kasy
Adaptive maximization of social welfare. CoRR (2023)
Yuko Kuroki, Alberto Rumi, Taira Tsuchiya, Fabio Vitale, Nicolò Cesa-Bianchi
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits. CoRR (2023)
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations. CoRR (2023)
Stephen Pasteris, Alberto Rumi, Fabio Vitale, Nicolò Cesa-Bianchi
Sum-max Submodular Bandits. CoRR (2023)
Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi, Andreas Krause
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning. NeurIPS (2023)
Dirk van der Hoeven, Lukas Zierahn, Tal Lancewicki, Aviv Rosenberg, Nicolò Cesa-Bianchi
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs. CoRR (2023)
Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari, Nicolò Cesa-Bianchi
On the Minimax Regret for Online Learning with Feedback Graphs. CoRR (2023)
Nicolò Cesa-Bianchi, Tommaso Renato Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
Repeated Bilateral Trade Against a Smoothed Adversary. COLT (2023)
Lukas Zierahn, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Gergely Neu
Nonstochastic Contextual Combinatorial Bandits. AISTATS (2023)
Dirk van der Hoeven, Lukas Zierahn, Tal Lancewicki, Aviv Rosenberg, Nicolò Cesa-Bianchi
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs. COLT (2023)
Dirk van der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-Bianchi
High-Probability Risk Bounds via Sequential Predictors. CoRR (2023)
Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
Delayed Bandits: When Do Intermediate Observations Help? CoRR (2023)
Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts. CoRR (2023)
Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami, Marco Scarsini, Segev Wasserkrug
Learning the Stackelberg Equilibrium in a Newsvendor Game. AAMAS (2023)
Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice. ITW (2023)
Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice. CoRR (2023)
Juliette Achddou, Nicolò Cesa-Bianchi, Pierre Laforgue
Multitask Online Learning: Listen to the Neighborhood Buzz. CoRR (2023)
Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari, Nicolò Cesa-Bianchi
On the Minimax Regret for Online Learning with Feedback Graphs. NeurIPS (2023)
Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
Delayed Bandits: When Do Intermediate Observations Help? ICML (2023)
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
Repeated Bilateral Trade Against a Smoothed Adversary. CoRR (2023)
Pierre Laforgue, Andrea Della Vecchia, Nicolò Cesa-Bianchi, Lorenzo Rosasco
AdaTask: Adaptive Multitask Online Learning. CoRR (2022)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen
Active Learning of Classifiers with Label and Seed Queries. CoRR (2022)
Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs. NeurIPS (2022)
Dirk van der Hoeven, Nicolò Cesa-Bianchi
Nonstochastic Bandits and Experts with Arm-Dependent Delays. AISTATS (2022)
Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi
Learning on the Edge: Online Learning with Stochastic Feedback Graphs. CoRR (2022)
Dirk van der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-Bianchi
A Regret-Variance Trade-Off in Online Learning. CoRR (2022)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen
Active Learning of Classifiers with Label and Seed Queries. NeurIPS (2022)
Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi, Ran Gilad-Bachrach
A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits. AISTATS (2022)
Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami, Marco Scarsini, Segev Wasserkrug
Online Learning in Supply-Chain Games. CoRR (2022)
Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi
Learning on the Edge: Online Learning with Stochastic Feedback Graphs. NeurIPS (2022)
Chloé Rouyer, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs. CoRR (2022)
Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil
Multitask Online Mirror Descent. Trans. Mach. Learn. Res. 2022 (2022)
Dirk van der Hoeven, Nikita Zhivotovskiy, Nicolò Cesa-Bianchi
A Regret-Variance Trade-Off in Online Learning. NeurIPS (2022)
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Claudio Gentile, Yishay Mansour
Nonstochastic Bandits with Composite Anonymous Feedback. J. Mach. Learn. Res. 23 (2022)
Dirk van der Hoeven, Nicolò Cesa-Bianchi
Nonstochastic Bandits and Experts with Arm-Dependent Delays. CoRR (2021)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
On Margin-Based Cluster Recovery with Oracle Queries. CoRR (2021)
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
A Regret Analysis of Bilateral Trade. CoRR (2021)
Maximilian Mordig, Riccardo Della Vecchia, Nicolò Cesa-Bianchi, Bernhard Schölkopf
Multi-Sided Matching Markets with Consistent Preferences and Cooperative Partners. CoRR (2021)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. COLT (2021)
Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil
Multitask Online Mirror Descent. CoRR (2021)
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
Bilateral Trade: A Regret Minimization Perspective. CoRR (2021)
Pierre Laforgue, Giulia Clerici, Nicolò Cesa-Bianchi, Ran Gilad-Bachrach
Break your Bandit Routine with LSD Rewards: a Last Switch Dependent Analysis of Satiation and Seasonality. CoRR (2021)
Nicolò Cesa-Bianchi, Tommaso Cesari, Yishay Mansour, Vianney Perchet
A New Theoretical Framework for Fast and Accurate Online Decision-Making. NeurIPS (2021)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. CoRR (2021)
Nicolò Cesa-Bianchi, Tommaso R. Cesari, Roberto Colomboni, Federico Fusco, Stefano Leonardi
A Regret Analysis of Bilateral Trade. EC (2021)
Chloé Rouyer, Yevgeny Seldin, Nicolò Cesa-Bianchi
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs. ICML (2021)
Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, Claudio Gentile, Yishay Mansour
Nonstochastic Bandits with Composite Anonymous Feedback. CoRR (2021)
Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi
Beyond Bandit Feedback in Online Multiclass Classification. CoRR (2021)
Dirk van der Hoeven, Federico Fusco, Nicolò Cesa-Bianchi
Beyond Bandit Feedback in Online Multiclass Classification. NeurIPS (2021)
Chloé Rouyer, Yevgeny Seldin, Nicolò Cesa-Bianchi
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs. CoRR (2021)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
On Margin-Based Cluster Recovery with Oracle Queries. NeurIPS (2021)
Ilja Kuzborskij, Nicolò Cesa-Bianchi
Locally-Adaptive Nonparametric Online Learning. CoRR (2020)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
Exact Recovery of Mangled Clusters with Same-Cluster Queries. CoRR (2020)
Leonardo Cella, Nicolò Cesa-Bianchi
Stochastic Bandits with Delay-Dependent Payoffs. AISTATS (2020)
Ilja Kuzborskij, Nicolò Cesa-Bianchi
Locally-Adaptive Nonparametric Online Learning. NeurIPS (2020)
Nicolò Cesa-Bianchi, Tommaso Cesari, Claire Monteleoni
Cooperative Online Learning: Keeping your Neighbors Updated. ALT (2020)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
Exact Recovery of Mangled Clusters with Same-Cluster Queries. NeurIPS (2020)
Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi
Efficient Linear Bandits through Matrix Sketching. AISTATS (2019)
Marco Frasca, Nicolò Cesa-Bianchi
Multitask Protein Function Prediction through Task Dissimilarity. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (5) (2019)
Leonardo Cella, Nicolò Cesa-Bianchi
Stochastic Bandits with Delay-Dependent Payoffs. CoRR (2019)
Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin
Nonstochastic Multiarmed Bandits with Unrestricted Delays. CoRR (2019)
Tobias Sommer Thune, Nicolò Cesa-Bianchi, Yevgeny Seldin
Nonstochastic Multiarmed Bandits with Unrestricted Delays. NeurIPS (2019)
Nicolò Cesa-Bianchi, Tommaso R. Cesari, Claire Monteleoni
Cooperative Online Learning: Keeping your Neighbors Updated. CoRR (2019)
Ilja Kuzborskij, Nicolò Cesa-Bianchi, Csaba Szepesvári
Distribution-Dependent Analysis of Gibbs-ERM Principle. COLT (2019)
Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
Delay and Cooperation in Nonstochastic Bandits. J. Mach. Learn. Res. 20 (2019)
Marco Bressan, Nicolò Cesa-Bianchi, Andrea Paudice, Fabio Vitale
Correlation Clustering with Adaptive Similarity Queries. NeurIPS (2019)
Nicolò Cesa-Bianchi, Tommaso Cesari, Vianney Perchet
Dynamic Pricing with Finitely Many Unknown Valuations. ALT (2019)
Marco Bressan, Nicolò Cesa-Bianchi, Andrea Paudice, Fabio Vitale
Correlation Clustering with Adaptive Similarity Queries. CoRR (2019)
Ilja Kuzborskij, Nicolò Cesa-Bianchi, Csaba Szepesvári
Distribution-Dependent Analysis of Gibbs-ERM Principle. CoRR (2019)
Nicolò Cesa-Bianchi, Tommaso R. Cesari, Yishay Mansour, Vianney Perchet
Repeated A/B Testing. CoRR (2019)
Marco Frasca, Nicolò Cesa-Bianchi
Combining Cost-Sensitive Classification with Negative Selection for Protein Function Prediction. CoRR (2018)
Nicolò Cesa-Bianchi, Tommaso Cesari, Vianney Perchet
Dynamic Pricing with Finitely Many Unknown Valuations. CoRR (2018)
Nicolò Cesa-Bianchi, Ohad Shamir
Bandit Regret Scaling with the Effective Loss Range. ALT (2018)
Ilja Kuzborskij, Leonardo Cella, Nicolò Cesa-Bianchi
Efficient Linear Bandits through Matrix Sketching. CoRR (2018)
Nicolò Cesa-Bianchi, Claudio Gentile, Yishay Mansour
Nonstochastic Bandits with Composite Anonymous Feedback. COLT (2018)
Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz
Online Nonparametric Learning, Chaining, and the Role of Partial Feedback. CoRR (2017)
Géraud Le Falher, Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale
On the Troll-Trust Model for Edge Sign Prediction in Social Networks. AISTATS (2017)
Rocco De Rosa, Ilaria Gori, Fabio Cuzzolin, Nicolò Cesa-Bianchi
Active Incremental Recognition of Human Activities in a Streaming Context. Pattern Recognit. Lett. 99 (2017)
Ilja Kuzborskij, Nicolò Cesa-Bianchi
Nonparametric Online Regression while Learning the Metric. CoRR (2017)
Noga Alon, Nicolò Cesa-Bianchi, Claudio Gentile, Shie Mannor, Yishay Mansour, Ohad Shamir
Nonstochastic Multi-Armed Bandits with Graph-Structured Feedback. SIAM J. Comput. 46 (6) (2017)
Nicolò Cesa-Bianchi, Claudio Gentile, Gábor Lugosi, Gergely Neu
Boltzmann Exploration Done Right. CoRR (2017)
Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz
Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning. COLT (2017)
Ilja Kuzborskij, Nicolò Cesa-Bianchi
Nonparametric Online Regression while Learning the Metric. NIPS (2017)
Nicolò Cesa-Bianchi, Claudio Gentile, Gergely Neu, Gábor Lugosi
Boltzmann Exploration Done Right. NIPS (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicolò Cesa-Bianchi