Roberto Colomboni

Orcid: 0000-0001-9890-9543

According to our database1, Roberto Colomboni authored at least 23 papers between 2020 and 2026.

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Bibliography

2026
Generalized Pinsker Inequality for Bregman Divergences of Negative Tsallis Entropies.
CoRR, February, 2026

2025
Stochastic Bandits for Crowdsourcing and Multi-Platform Autobidding.
CoRR, August, 2025

An improved uniform convergence bound with fat-shattering dimension.
Inf. Process. Lett., 2025

A Parametric Contextual Online Learning Theory of Brokerage.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

An Online Learning Theory of Trading-Volume Maximization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Market Making without Regret.
Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Online Learning Methods for Digital Markets.
PhD thesis, 2024

A Theoretical Framework for Zeroth-Order Budget Convex Optimization.
Trans. Mach. Learn. Res., 2024

Bilateral Trade: A Regret Minimization Perspective.
Math. Oper. Res., 2024

Regret Analysis of Bilateral Trade with a Smoothed Adversary.
J. Mach. Learn. Res., 2024

A Contextual Online Learning Theory of Brokerage.
CoRR, 2024

Trading Volume Maximization with Online Learning.
CoRR, 2024

The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Fair Online Bilateral Trade.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An Online Learning Theory of Brokerage.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Adaptive maximization of social welfare.
CoRR, 2023

Repeated Bilateral Trade Against a Smoothed Adversary.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Nonstochastic Bandits with Composite Anonymous Feedback.
J. Mach. Learn. Res., 2022

Regret Analysis of Dyadic Search.
CoRR, 2022

A Near-Optimal Algorithm for Univariate Zeroth-Order Budget Convex Optimization.
CoRR, 2022

2021
A Regret Analysis of Bilateral Trade.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

2020
A Nearest Neighbor Characterization of Lebesgue Points in Metric Measure Spaces.
CoRR, 2020


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