:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bayati, Mohsen, Hamidi, Nima, Johari, Ramesh, Khosravi, Khashayar
Format:	Preprint
Published:	2020
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2002.10121
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Annealed Softmax Greedy in Many-Armed Bayesian Bandits
by: Overman, William, et al.
Published: (2026)

Speed Up the Cold-Start Learning in Two-Sided Bandits with Many Arms
by: Bayati, Mohsen, et al.
Published: (2022)

Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits
by: Luo, Yuwei, et al.
Published: (2023)

Meet Me at the Arm: The Cooperative Multi-Armed Bandits Problem with Shareable Arms
by: Hu, Xinyi, et al.
Published: (2025)

Kernel $ε$-Greedy for Multi-Armed Bandits with Covariates
by: Arya, Sakshi, et al.
Published: (2023)

Preferences Evolve And So Should Your Bandits: Bandits with Evolving States for Online Platforms
by: Khosravi, Khashayar, et al.
Published: (2023)

Optimal Streaming Algorithms for Multi-Armed Bandits
by: Jin, Tianyuan, et al.
Published: (2024)

MARBLE: Multi-Armed Restless Bandits in Latent Markovian Environment
by: Amiri, Mohsen, et al.
Published: (2025)

Distributed Algorithms for Multi-Agent Multi-Armed Bandits with Collision
by: Zhou, Daoyuan, et al.
Published: (2025)

Multi-Armed Bandits with Interference
by: Jia, Su, et al.
Published: (2024)

Imprecise Multi-Armed Bandits
by: Kosoy, Vanessa
Published: (2024)

Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits
by: Xu, Tianyi, et al.
Published: (2025)

Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms
by: Everett, Derek, et al.
Published: (2025)

Flickering Multi-Armed Bandits
by: Chakraborty, Sourav, et al.
Published: (2026)

A General Recipe for the Analysis of Randomized Multi-Armed Bandit Algorithms
by: Baudry, Dorian, et al.
Published: (2023)

Algorithm Design and Stronger Guarantees for the Improving Multi-Armed Bandits Problem
by: Blum, Avrim, et al.
Published: (2025)

Stochastic Multi-Objective Multi-Armed Bandits: Regret Definition and Algorithm
by: Davoodi, Mansoor, et al.
Published: (2025)

A Probabilistic Approach for Model Alignment with Human Comparisons
by: Cao, Junyu, et al.
Published: (2024)

Multi-Armed Bandits with Network Interference
by: Agarwal, Abhineet, et al.
Published: (2024)

Causal Message Passing for Experiments with Unknown and General Network Interference
by: Shirani, Sadegh, et al.
Published: (2023)

Introduction to Multi-Armed Bandits
by: Slivkins, Aleksandrs
Published: (2019)

Rising Multi-Armed Bandits with Known Horizons
by: Song, Seockbean, et al.
Published: (2026)

Collaborating in Multi-Armed Bandits with Strategic Agents
by: Barnea, Idan, et al.
Published: (2026)

On the Regularity and Fairness of Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)

The Oversight Game: Learning to Cooperatively Balance an AI Agent's Safety and Autonomy
by: Overman, William, et al.
Published: (2025)

On the Unreasonable Effectiveness of Last-layer Retraining
by: Hill, John C., et al.
Published: (2025)

Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
by: Esmaeili, Seyed A., et al.
Published: (2023)

Autonomous Drug Design with Multi-Armed Bandits
by: Svensson, Hampus Gummesson, et al.
Published: (2022)

Decentralized Upper Confidence Bound Algorithms for Homogeneous Multi-Agent Multi-Armed Bandits
by: Zhu, Jingxuan, et al.
Published: (2021)

A Fast Algorithm for the Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit
by: Nakamura, Shintaro, et al.
Published: (2023)

The Unreasonable Effectiveness of LLMs for Query Optimization
by: Akioyamen, Peter, et al.
Published: (2024)

Graph Feedback Bandits with Similar Arms
by: Qi, Han, et al.
Published: (2024)

Blessings of Multiple Good Arms in Multi-Objective Linear Bandits
by: Ann, Heesang, et al.
Published: (2026)

Hybrid Combinatorial Multi-armed Bandits with Probabilistically Triggered Arms
by: Zhou, Kongchang, et al.
Published: (2025)

Byzantine-Resilient Decentralized Multi-Armed Bandits
by: Zhu, Jingxuan, et al.
Published: (2023)

Multi-Armed Bandits With Best-Action Queries
by: Bacchiocchi, Francesco, et al.
Published: (2026)

On Evolution-Based Models for Experimentation Under Interference
by: Shirani, Sadegh, et al.
Published: (2025)

Stochastic Multi-Armed Bandits with Limited Control Variates
by: Verma, Arun, et al.
Published: (2026)

Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits
by: Li, Mengmeng, et al.
Published: (2024)

Individual Regret in Cooperative Stochastic Multi-Armed Bandits
by: Barnea, Idan, et al.
Published: (2024)