Online Packet Scheduling with Deadlines and Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Genalti, Gianmarco, Azize, Achraf, Perchet, Vianney |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning-Augmented Online Packet Scheduling with Deadlines
por: Liang, Ya-Chun, et al.
Publicado: (2023)
por: Liang, Ya-Chun, et al.
Publicado: (2023)
Non-clairvoyant Scheduling with Partial Predictions
por: Benomar, Ziyad, et al.
Publicado: (2024)
por: Benomar, Ziyad, et al.
Publicado: (2024)
Optimal Best Arm Identification under Differential Privacy
por: Jourdan, Marc, et al.
Publicado: (2025)
por: Jourdan, Marc, et al.
Publicado: (2025)
Learning in Prophet Inequalities with Noisy Observations
por: Kim, Jung-hun, et al.
Publicado: (2026)
por: Kim, Jung-hun, et al.
Publicado: (2026)
Instance-dependent Stochastic Lipschitz bandit
por: Potfer, Marius, et al.
Publicado: (2026)
por: Potfer, Marius, et al.
Publicado: (2026)
On Tradeoffs in Learning-Augmented Algorithms
por: Benomar, Ziyad, et al.
Publicado: (2025)
por: Benomar, Ziyad, et al.
Publicado: (2025)
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
por: Azize, Achraf, et al.
Publicado: (2024)
por: Azize, Achraf, et al.
Publicado: (2024)
The Value of Reward Lookahead in Reinforcement Learning
por: Merlis, Nadav, et al.
Publicado: (2024)
por: Merlis, Nadav, et al.
Publicado: (2024)
Concentrated Differential Privacy for Bandits
por: Azize, Achraf, et al.
Publicado: (2023)
por: Azize, Achraf, et al.
Publicado: (2023)
Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
por: Potfer, Marius, et al.
Publicado: (2025)
por: Potfer, Marius, et al.
Publicado: (2025)
A survey on multi-player bandits
por: Boursier, Etienne, et al.
Publicado: (2022)
por: Boursier, Etienne, et al.
Publicado: (2022)
Covariance-adapting algorithm for semi-bandits with application to sparse rewards
por: Perrault, Pierre, et al.
Publicado: (2026)
por: Perrault, Pierre, et al.
Publicado: (2026)
Catoni-Style Change Point Detection for Regret Minimization in Non-Stationary Heavy-Tailed Bandits
por: Genalti, Gianmarco, et al.
Publicado: (2025)
por: Genalti, Gianmarco, et al.
Publicado: (2025)
Stable Matching with Ties: Approximation Ratios and Learning
por: Lin, Shiyun, et al.
Publicado: (2024)
por: Lin, Shiyun, et al.
Publicado: (2024)
On the Hardness of Reinforcement Learning with Transition Look-Ahead
por: Pla, Corentin, et al.
Publicado: (2025)
por: Pla, Corentin, et al.
Publicado: (2025)
The Harder Path: Last Iterate Convergence for Uncoupled Learning in Zero-Sum Games with Bandit Feedback
por: Fiegel, Côme, et al.
Publicado: (2026)
por: Fiegel, Côme, et al.
Publicado: (2026)
Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
por: Yahmed, Ahmed Ben, et al.
Publicado: (2025)
por: Yahmed, Ahmed Ben, et al.
Publicado: (2025)
$(ε, u)$-Adaptive Regret Minimization in Heavy-Tailed Bandits
por: Genalti, Gianmarco, et al.
Publicado: (2023)
por: Genalti, Gianmarco, et al.
Publicado: (2023)
Replicable Constrained Bandits
por: Bollini, Matteo, et al.
Publicado: (2026)
por: Bollini, Matteo, et al.
Publicado: (2026)
Data-Dependent Regret Bounds for Constrained MABs
por: Genalti, Gianmarco, et al.
Publicado: (2025)
por: Genalti, Gianmarco, et al.
Publicado: (2025)
Learning to Allocate Resources with Censored Feedback
por: Montanari, Giovanni, et al.
Publicado: (2026)
por: Montanari, Giovanni, et al.
Publicado: (2026)
Adaptive Bandit Algorithms for Contextual Matching Markets
por: Lin, Shiyun, et al.
Publicado: (2026)
por: Lin, Shiyun, et al.
Publicado: (2026)
Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier
por: Fiegel, Come, et al.
Publicado: (2026)
por: Fiegel, Come, et al.
Publicado: (2026)
Differentially Private Best-Arm Identification
por: Azize, Achraf, et al.
Publicado: (2024)
por: Azize, Achraf, et al.
Publicado: (2024)
Deadline-Aware Online Scheduling for LLM Fine-Tuning with Spot Market Predictions
por: Kong, Linggao, et al.
Publicado: (2025)
por: Kong, Linggao, et al.
Publicado: (2025)
Multi-Armed Bandits with Minimum Aggregated Revenue Constraints
por: Yahmed, Ahmed Ben, et al.
Publicado: (2025)
por: Yahmed, Ahmed Ben, et al.
Publicado: (2025)
Mode Estimation with Partial Feedback
por: Arnal, Charles, et al.
Publicado: (2024)
por: Arnal, Charles, et al.
Publicado: (2024)
Improved Algorithms for Contextual Dynamic Pricing
por: Tullii, Matilde, et al.
Publicado: (2024)
por: Tullii, Matilde, et al.
Publicado: (2024)
A Best-of-Both-Worlds Algorithm for Constrained MDPs with Long-Term Constraints
por: Germano, Jacopo, et al.
Publicado: (2023)
por: Germano, Jacopo, et al.
Publicado: (2023)
Bridging Rested and Restless Bandits with Graph-Triggering: Rising and Rotting
por: Genalti, Gianmarco, et al.
Publicado: (2024)
por: Genalti, Gianmarco, et al.
Publicado: (2024)
Improved learning rates in multi-unit uniform price auctions
por: Potfer, Marius, et al.
Publicado: (2025)
por: Potfer, Marius, et al.
Publicado: (2025)
Autoregressive Bandits
por: Bacchiocchi, Francesco, et al.
Publicado: (2022)
por: Bacchiocchi, Francesco, et al.
Publicado: (2022)
Optimal Regret of Bernoulli Bandits under Global Differential Privacy
por: Azize, Achraf, et al.
Publicado: (2025)
por: Azize, Achraf, et al.
Publicado: (2025)
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
por: Garrido-Lucero, Felipe, et al.
Publicado: (2023)
por: Garrido-Lucero, Felipe, et al.
Publicado: (2023)
Adaptive Deadline and Batch Layered Synchronized Federated Learning
por: Goren, Asaf, et al.
Publicado: (2025)
por: Goren, Asaf, et al.
Publicado: (2025)
Learning-Augmented Competitive Algorithms for Spatiotemporal Online Allocation with Deadline Constraints
por: Lechowicz, Adam, et al.
Publicado: (2024)
por: Lechowicz, Adam, et al.
Publicado: (2024)
Online matching on stochastic block model
por: Cherifa, Maria, et al.
Publicado: (2025)
por: Cherifa, Maria, et al.
Publicado: (2025)
Quantum Generative Models for Computational Fluid Dynamics: A First Exploration of Latent Space Learning in Lattice Boltzmann Simulations
por: Hsain, Achraf, et al.
Publicado: (2025)
por: Hsain, Achraf, et al.
Publicado: (2025)
TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs
por: Fu, Rong, et al.
Publicado: (2026)
por: Fu, Rong, et al.
Publicado: (2026)
Calibrated Forecasting and Persuasion
por: Jain, Atulya, et al.
Publicado: (2024)
por: Jain, Atulya, et al.
Publicado: (2024)
Ejemplares similares
-
Learning-Augmented Online Packet Scheduling with Deadlines
por: Liang, Ya-Chun, et al.
Publicado: (2023) -
Non-clairvoyant Scheduling with Partial Predictions
por: Benomar, Ziyad, et al.
Publicado: (2024) -
Optimal Best Arm Identification under Differential Privacy
por: Jourdan, Marc, et al.
Publicado: (2025) -
Learning in Prophet Inequalities with Noisy Observations
por: Kim, Jung-hun, et al.
Publicado: (2026) -
Instance-dependent Stochastic Lipschitz bandit
por: Potfer, Marius, et al.
Publicado: (2026)