Federico Fusco
18 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Research topics
Keywords
online learning
(7)
approximation algorithm
(6)
submodular maximization
(6)
regret bound
(6)
matroid constraint
(4)
mechanism design
(3)
bilateral trade
(3)
multi-armed bandit
(3)
smoothed adversary
(2)
regret analysis
(2)
feedback graph
(2)
knapsack constraint
(2)
online algorithm
(2)
fixed-price mechanism
(2)
bandit feedback
(2)
data summarization
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streaming algorithm
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cardinality constraint
(1)
sequential decision
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decision making
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Papers
Deletion Robust Non-Monotone Submodular Maximization over Matroids
JMLR 2025
Online Learning in the Random-Order Model
ICML 2025
Bandits with Replenishable Knapsacks: the Best of both Worlds
ICLR 2024
Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints
NeurIPS 2024
Consistent Submodular Maximization
ICML 2024
Online Learning with Sublinear Best-Action Queries
NeurIPS 2024
Pandora’s Problem with Deadlines
AAAI 2024
Regret Analysis of Bilateral Trade with a Smoothed Adversary
JMLR 2024
Fairness in Streaming Submodular Maximization over a Matroid Constraint
ICML 2023
Fully Dynamic Submodular Maximization over Matroids
ICML 2023
Repeated Bilateral Trade Against a Smoothed Adversary
COLT 2023
An α-regret analysis of Adversarial Bilateral Trade
NeurIPS 2022
Deletion Robust Submodular Maximization over Matroids
ICML 2022
Learning on the Edge: Online Learning with Stochastic Feedback Graphs
NeurIPS 2022
Beyond Bandit Feedback in Online Multiclass Classification
NeurIPS 2021
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity
ICML 2021
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint
NeurIPS 2020
Online Revenue Maximization for Server Pricing
IJCAI 2020