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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
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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3
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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4
Learning From Human Feedback: Ranking, Bandit, and Preference Optimization
Learning From Human Feedback: Ranking, Bandit, and Preference Optimization
Wu, Yue. | University of California, Los Angeles | 2024
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5
Learning in the Presence of Adaptive Behavior
Learning in the Presence of Adaptive Behavior
Brown, William. | Columbia University | 2024
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6
Algorithms in Complex Environments
Algorithms in Complex Environments
Meister, Michela Christine Gibb. | Cornell University | 2024
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7
Learning From Interactions via Online Decision-Making and Network Science
Learning From Interactions via Online Decision-Making and Network Science
Kumar, Raunak. | Cornell University | 2024
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8
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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9
Advances in Non-stationary Sequential Decision-Making
Advances in Non-stationary Sequential Decision-Making
Suk, Joseph. | Columbia University | 2024
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10
Stochastic Optimization and Learning: An Adaptive and Resource-Efficient Approach- [electronic resource]
Stochastic Optimization and Learning: An Adaptive and Resource-Efficient Approach- [electronic resource]
Salgia, Sudeep.Electrical and Computer Engineering | Cornell University. | 2023
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