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1
Multi-Armed Bandits With Probes and Knapsacks: Algorithms, Theory and Applications
Multi-Armed Bandits With Probes and Knapsacks: Algorithms, Theory and Applications
Elumar, Eray Can. | Carnegie Mellon University | 2025
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2
Essays on Adaptive Experimentation: Bringing Real-World Challenges to Multi-Armed Bandits
Essays on Adaptive Experimentation: Bringing Real-World Challenges to Multi-Armed Bandits
Qin, Chao. | Columbia University | 2024
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3
Towards Scalability and Robustness for Ranking, Clustering, and Multi-Armed Bandits
Towards Scalability and Robustness for Ranking, Clustering, and Multi-Armed Bandits
Patil, Prathamesh. | University of Pennsylvania | 2024
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4
Data-Dependent Regret Bounds for Adversarial Multi-Armed Bandits and Online Portfolio Selection
Data-Dependent Regret Bounds for Adversarial Multi-Armed Bandits and Online Portfolio Selection
Putta, Sudeep Raja. | Columbia University | 2024
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5
Principled Exploration in Sequential Decision-Making
Principled Exploration in Sequential Decision-Making
Ban, Yikun. | University of Illinois at Urbana-Champaign | 2024
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6
Information Asymmetries in Data-Driven and Sustainable Operations: Stochastic Models and Adaptive Algorithms for Strategic Agents
Information Asymmetries in Data-Driven and Sustainable Operations: Stochastic Models and Adaptive Algorithms for Strategic Agents
Dogan, Ilgin. | University of California, Berkeley | 2024
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7
Advances in Non-stationary Sequential Decision-Making
Advances in Non-stationary Sequential Decision-Making
Suk, Joseph. | Columbia University | 2024
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8
Learning to Optimize Decisions in Online Service Platforms
Learning to Optimize Decisions in Online Service Platforms
Zhao, Jingtong. | Columbia University | 2021
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9
Online Learning and Decision Making with Partial Information, a Feedback Perspective
Online Learning and Decision Making with Partial Information, a Feedback Perspective
Rangi, Anshuka. | University of California, San Diego | 2021
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