Saved in:
| Main Authors: | Jia, Su, Frazier, Peter, Kallus, Nathan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.01845 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Smooth Non-Stationary Bandits
by: Jia, Su, et al.
Published: (2023)
by: Jia, Su, et al.
Published: (2023)
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
by: Cho, Brian, et al.
Published: (2024)
by: Cho, Brian, et al.
Published: (2024)
Multi-Armed Bandits with Network Interference
by: Agarwal, Abhineet, et al.
Published: (2024)
by: Agarwal, Abhineet, et al.
Published: (2024)
Clustered Switchback Designs for Experimentation Under Spatio-temporal Interference
by: Jia, Su, et al.
Published: (2023)
by: Jia, Su, et al.
Published: (2023)
Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference
by: Jamshidi, Fateme, et al.
Published: (2025)
by: Jamshidi, Fateme, et al.
Published: (2025)
Experimentation Under Non-stationary Interference
by: Jia, Su, et al.
Published: (2025)
by: Jia, Su, et al.
Published: (2025)
Imprecise Multi-Armed Bandits
by: Kosoy, Vanessa
Published: (2024)
by: Kosoy, Vanessa
Published: (2024)
Flickering Multi-Armed Bandits
by: Chakraborty, Sourav, et al.
Published: (2026)
by: Chakraborty, Sourav, et al.
Published: (2026)
Fast Best-in-Class Regret for Contextual Bandits
by: Girard, Samuel, et al.
Published: (2025)
by: Girard, Samuel, et al.
Published: (2025)
Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model
by: Kallus, Nathan
Published: (2025)
by: Kallus, Nathan
Published: (2025)
Introduction to Multi-Armed Bandits
by: Slivkins, Aleksandrs
Published: (2019)
by: Slivkins, Aleksandrs
Published: (2019)
Optimal Streaming Algorithms for Multi-Armed Bandits
by: Jin, Tianyuan, et al.
Published: (2024)
by: Jin, Tianyuan, et al.
Published: (2024)
Rising Multi-Armed Bandits with Known Horizons
by: Song, Seockbean, et al.
Published: (2026)
by: Song, Seockbean, et al.
Published: (2026)
Collaborating in Multi-Armed Bandits with Strategic Agents
by: Barnea, Idan, et al.
Published: (2026)
by: Barnea, Idan, et al.
Published: (2026)
On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)
by: Wu, Xiaoyi, et al.
Published: (2025)
Autonomous Drug Design with Multi-Armed Bandits
by: Svensson, Hampus Gummesson, et al.
Published: (2022)
by: Svensson, Hampus Gummesson, et al.
Published: (2022)
Byzantine-Resilient Decentralized Multi-Armed Bandits
by: Zhu, Jingxuan, et al.
Published: (2023)
by: Zhu, Jingxuan, et al.
Published: (2023)
Multi-Armed Bandits With Best-Action Queries
by: Bacchiocchi, Francesco, et al.
Published: (2026)
by: Bacchiocchi, Francesco, et al.
Published: (2026)
Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits
by: Li, Mengmeng, et al.
Published: (2024)
by: Li, Mengmeng, et al.
Published: (2024)
Individual Regret in Cooperative Stochastic Multi-Armed Bandits
by: Barnea, Idan, et al.
Published: (2024)
by: Barnea, Idan, et al.
Published: (2024)
Stochastic Multi-Armed Bandits with Limited Control Variates
by: Verma, Arun, et al.
Published: (2026)
by: Verma, Arun, et al.
Published: (2026)
Federated Multi-Armed Bandits Under Byzantine Attacks
by: Saday, Artun, et al.
Published: (2022)
by: Saday, Artun, et al.
Published: (2022)
Distributed Algorithms for Multi-Agent Multi-Armed Bandits with Collision
by: Zhou, Daoyuan, et al.
Published: (2025)
by: Zhou, Daoyuan, et al.
Published: (2025)
Adversarial Attacks on Combinatorial Multi-Armed Bandits
by: Balasubramanian, Rishab, et al.
Published: (2023)
by: Balasubramanian, Rishab, et al.
Published: (2023)
Unlearning Offline Stochastic Multi-Armed Bandits
by: Ye, Zichun, et al.
Published: (2026)
by: Ye, Zichun, et al.
Published: (2026)
Global Rewards in Restless Multi-Armed Bandits
by: Raman, Naveen, et al.
Published: (2024)
by: Raman, Naveen, et al.
Published: (2024)
Heterogeneous Multi-Player Multi-Armed Bandits Robust To Adversarial Attacks
by: Magesh, Akshayaa, et al.
Published: (2025)
by: Magesh, Akshayaa, et al.
Published: (2025)
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
by: Wang, Zhiwei, et al.
Published: (2024)
by: Wang, Zhiwei, et al.
Published: (2024)
Multi-Armed Bandits with Minimum Aggregated Revenue Constraints
by: Yahmed, Ahmed Ben, et al.
Published: (2025)
by: Yahmed, Ahmed Ben, et al.
Published: (2025)
Quantile Multi-Armed Bandits with 1-bit Feedback
by: Lau, Ivan, et al.
Published: (2025)
by: Lau, Ivan, et al.
Published: (2025)
Large Language Model-Enhanced Multi-Armed Bandits
by: Sun, Jiahang, et al.
Published: (2025)
by: Sun, Jiahang, et al.
Published: (2025)
Multi-Armed Bandits-Based Optimization of Decision Trees
by: Shanto, Hasibul Karim, et al.
Published: (2025)
by: Shanto, Hasibul Karim, et al.
Published: (2025)
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)
by: Wu, Xiaoyi, et al.
Published: (2025)
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security
by: Xu, Lily, et al.
Published: (2020)
by: Xu, Lily, et al.
Published: (2020)
Collaborative Min-Max Regret in Grouped Multi-Armed Bandits
by: Blanchard, Moïse, et al.
Published: (2025)
by: Blanchard, Moïse, et al.
Published: (2025)
MARBLE: Multi-Armed Restless Bandits in Latent Markovian Environment
by: Amiri, Mohsen, et al.
Published: (2025)
by: Amiri, Mohsen, et al.
Published: (2025)
Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee
by: Hung, Yu-Heng, et al.
Published: (2025)
by: Hung, Yu-Heng, et al.
Published: (2025)
Constrained Feedback Learning for Non-Stationary Multi-Armed Bandits
by: Li, Shaoang, et al.
Published: (2025)
by: Li, Shaoang, et al.
Published: (2025)
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
by: Oprescu, Miruna, et al.
Published: (2024)
by: Oprescu, Miruna, et al.
Published: (2024)
Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits
by: Xu, Tianyi, et al.
Published: (2025)
by: Xu, Tianyi, et al.
Published: (2025)
Similar Items
-
Smooth Non-Stationary Bandits
by: Jia, Su, et al.
Published: (2023) -
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
by: Cho, Brian, et al.
Published: (2024) -
Multi-Armed Bandits with Network Interference
by: Agarwal, Abhineet, et al.
Published: (2024) -
Clustered Switchback Designs for Experimentation Under Spatio-temporal Interference
by: Jia, Su, et al.
Published: (2023) -
Graph-Dependent Regret Bounds in Multi-Armed Bandits with Interference
by: Jamshidi, Fateme, et al.
Published: (2025)