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Decision Sciences
Decision Sciences 논문 리뷰
Decision Sciences 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
5,756개의 결과
Information Directed Sampling for Stochastic Bandits with Graph Feedback
Fang Liu, Swapna Buccapatnam 외 1명
arXiv (Cornell University)
|
2017
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20 회 인용
Investigating Bias in LLM-Based Bias Detection: Disparities between LLMs and Human Perception
Luyang Lin, Lingzhi Wang 외 2명
arXiv (Cornell University)
|
2024
|
20 회 인용
Large-scale comparison of bibliographic data sources: Scopus, Web of Science, Dimensions, Crossref, and Microsoft Academic
Martijn S. Visser, Nees Jan van Eck 외 1명
arXiv (Cornell University)
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2020
|
20 회 인용
Learning from Conditional Distributions via Dual Embeddings
Bo Dai, Niao He 외 3명
arXiv (Cornell University)
|
2016
|
20 회 인용
Learning in Games: Robustness of Fast Convergence
Dylan J. Foster, Zhiyuan Li 외 3명
arXiv (Cornell University)
|
2016
|
20 회 인용
Learning Linear-Quadratic Regulators Efficiently with only $\sqrt{T}$ Regret
Alon Cohen, Tomer Koren 외 1명
arXiv (Cornell University)
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2019
|
20 회 인용
MetaGrad: Multiple Learning Rates in Online Learning
Tim van Erven, Wouter M. Koolen
arXiv (Cornell University)
|
2016
|
20 회 인용
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals
Emilie Kaufmann, Wouter M. Koolen
arXiv (Cornell University)
|
2018
|
20 회 인용
Model-Independent Online Learning for Influence Maximization
Sharan Vaswani, Branislav Kveton 외 4명
arXiv (Cornell University)
|
2017
|
20 회 인용
Multi-Attribute Selectivity Estimation Using Deep Learning
Shohedul Hasan, Saravanan Thirumuruganathan 외 3명
arXiv (Cornell University)
|
2019
|
20 회 인용
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