Emmanuel Esposito

26 papers A* 8A 1Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Conditional Averages.
CoRR
Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2026 J jnl
Parameter-free Dynamic Regret: Time-varying Movement Costs, Delayed Feedback, and Memory.
CoRR
Emmanuel Esposito, Andrew Jacobsen, Hao Qiu, Mengxiao Zhang
2025 A* conf
A Fine-grained Characterization of PAC Learnability.
COLT
Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2025 J jnl
An improved uniform convergence bound with fat-shattering dimension.
Inf. Process. Lett.
Roberto Colomboni, Emmanuel Esposito, Andrea Paudice
2025 J jnl
Efficient Algorithms for Learning and Compressing Monophonic Halfspaces in Graphs.
CoRR
Marco Bressan, Victor Chepoi, Emmanuel Esposito, Maximilian Thiessen
2025 A* conf
Exploiting Curvature in Online Convex Optimization with Delayed Feedback.
ICML
Hao Qiu, Emmanuel Esposito, Mengxiao Zhang
2025 J jnl
Exploiting Curvature in Online Convex Optimization with Delayed Feedback.
CoRR
Hao Qiu, Emmanuel Esposito, Mengxiao Zhang
2025 J jnl
Improved Regret Bounds for Bandits with Expert Advice.
J. Artif. Intell. Res.
Nicolò Cesa-Bianchi, Khaled Eldowa, Emmanuel Esposito, Julia Olkhovskaya
2025 A* conf
Of Dice and Games: A Theory of Generalized Boosting.
COLT
Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2025 J jnl
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses.
CoRR
Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven
2024 A* conf
A Theory of Interpretable Approximations.
COLT
Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2024 J jnl
A Theory of Interpretable Approximations.
CoRR
Marco Bressan, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2024 A* conf
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs.
COLT
Marco Bressan, Emmanuel Esposito, Maximilian Thiessen
2024 J jnl
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs.
CoRR
Marco Bressan, Emmanuel Esposito, Maximilian Thiessen
2024 J jnl
Improved Regret Bounds for Bandits with Expert Advice.
CoRR
Nicolò Cesa-Bianchi, Khaled Eldowa, Emmanuel Esposito, Julia Olkhovskaya
2024 J jnl
Of Dice and Games: A Theory of Generalized Boosting.
CoRR
Marco Bressan, Nataly Brukhim, Nicolò Cesa-Bianchi, Emmanuel Esposito, Yishay Mansour, Shay Moran, Maximilian Thiessen
2024 — —
Online Learning, Uniform convergence, and a Theory of interpretability.
Emmanuel Esposito
2023 J jnl
An Improved Uniform Convergence Bound with Fat-Shattering Dimension.
CoRR
Roberto Colomboni, Emmanuel Esposito, Andrea Paudice
2023 A* conf
Delayed Bandits: When Do Intermediate Observations Help?
ICML
Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
2023 J jnl
Delayed Bandits: When Do Intermediate Observations Help?
CoRR
Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
2023 A* conf
On the Minimax Regret for Online Learning with Feedback Graphs.
NeurIPS
Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari, Nicolò Cesa-Bianchi
2023 J jnl
On the Minimax Regret for Online Learning with Feedback Graphs.
CoRR
Khaled Eldowa, Emmanuel Esposito, Tommaso Cesari, Nicolò Cesa-Bianchi
2022 A* conf
Learning on the Edge: Online Learning with Stochastic Feedback Graphs.
NeurIPS
Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi
2022 J jnl
Learning on the Edge: Online Learning with Stochastic Feedback Graphs.
CoRR
Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi
2020 A conf
RecSplit: Minimal Perfect Hashing via Recursive Splitting.
ALENEX
Emmanuel Esposito, Thomas Mueller Graf, Sebastiano Vigna
2019 J jnl
RecSplit: Minimal Perfect Hashing via Recursive Splitting.
CoRR
Emmanuel Esposito, Thomas Mueller Graf, Sebastiano Vigna