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Articles by Nicolò Cesa-Bianchi

Of Dice and Games: A Theory of Generalized Boosting
11 December 2024 by Marco Bressan and others
Machine Learning
Distributed Online Optimization with Stochastic Agent Availability
25 November 2024 by Juliette Achddou and others
Machine Learning
Market Making without Regret
21 November 2024 by Nicolò Cesa-Bianchi and others
Computer Science and Game Theory, Machine Learning
Cooperative Online Learning with Feedback Graphs
9 August 2024 by Nicolò Cesa-Bianchi and others
Machine Learning
Adaptive maximization of social welfare
29 July 2024 by Nicoló Cesa-Bianchi and others
Econometrics, Machine Learning
Improved Regret Bounds for Bandits with Expert Advice
24 June 2024 by Nicolò Cesa-Bianchi and others
Machine Learning
A Theory of Interpretable Approximations
15 June 2024 by Marco Bressan and others
Machine Learning, Artificial Intelligence
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
3 June 2024 by Tianyuan Jin and others
Machine Learning
Fair Online Bilateral Trade
22 May 2024 by François Bachoc and others
Computer Science and Game Theory, Machine Learning
The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations
21 March 2024 by Nicolò Cesa-Bianchi and others
Computer Science and Game Theory, Data Structures and Algorithms
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits
19 February 2024 by Yuko Kuroki and others
Machine Learning
Information Capacity Regret Bounds for Bandits with Mediator Feedback
15 February 2024 by Khaled Eldowa and others
Machine Learning
Sum-max Submodular Bandits
10 November 2023 by Stephen Pasteris and others
Machine Learning
AdaTask: Adaptive Multitask Online Learning
27 October 2023 by Pierre Laforgue and others
Machine Learning
Multitask Online Learning: Listen to the Neighborhood Buzz
26 October 2023 by Juliette Achddou and others
Machine Learning
High-Probability Risk Bounds via Sequential Predictors
15 August 2023 by Dirk Van Der Hoeven and others
Machine Learning, Information Theory
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
3 August 2023 by Pier Giuseppe Sessa and others
Machine Learning
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
3 July 2023 by Dirk Van Der Hoeven and others at LogoImperial College London
Machine Learning
Delayed Bandits: When Do Intermediate Observations Help?
30 May 2023 by Emmanuel Esposito and others
Machine Learning
Linear Bandits with Memory: from Rotting to Rising
25 May 2023 by Giulia Clerici and others
Machine Learning
On the Minimax Regret for Online Learning with Feedback Graphs
24 May 2023 by Khaled Eldowa and others
Machine Learning
Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice
15 March 2023 by Khaled Eldowa and others
Machine Learning
Repeated Bilateral Trade Against a Smoothed Adversary
21 February 2023 by Nicolò Cesa-Bianchi and others
Machine Learning, Data Structures and Algorithms
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
9 October 2022 by Emmanuel Esposito and others
Machine Learning, Data Structures and Algorithms
Nonstochastic Bandits with Composite Anonymous Feedback
24 September 2022 by Nicolò Cesa-Bianchi and others
Machine Learning
Online Learning in Supply-Chain Games
8 July 2022 by Nicolò Cesa-Bianchi and others
Computer Science and Game Theory, Machine Learning
A Regret-Variance Trade-Off in Online Learning
6 June 2022 by Dirk Van Der Hoeven and others
Machine Learning
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs
1 June 2022 by Chloé Rouyer and others
Machine Learning
Bilateral Trade: A Regret Minimization Perspective
8 September 2021 by Nicolò Cesa-Bianchi and others
Computer Science and Game Theory, Machine Learning
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries
13 July 2021 by Marco Bressan and others
Machine Learning
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