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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
DreamDA: Generative Data Augmentation with Diffusion Models
Yunxiang Fu, Chaoqi Chen 외 2명
arXiv (Cornell University)
|
2024
|
3 회 인용
Dual representation of risk measures on Orlicz spaces
Niushan Gao, Denny H. Leung 외 1명
arXiv (Cornell University)
|
2016
|
3 회 인용
Duality and optimality conditions in stochastic optimization and mathematical finance
Sara Biagini, Teemu Pennanen 외 1명
arXiv (Cornell University)
|
2015
|
3 회 인용
Dynamic graph neural networks for enhanced volatility prediction in financial markets
Pulikandala Nithish Kumar, Nneka Umeorah 외 1명
arXiv (Cornell University)
|
2024
|
3 회 인용
Early quantum computing applications on the path towards precision medicine
Frederik F. Flöther
arXiv (Cornell University)
|
2024
|
3 회 인용
EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities
Nian Li, Chen Gao 외 3명
arXiv (Cornell University)
|
2023
|
3 회 인용
Effects of Interruptibility-Aware Robot Behavior
Siddhartha Banerjee, Andrew Silva 외 2명
arXiv (Cornell University)
|
2018
|
3 회 인용
Effects of Research Paper Promotion via ArXiv and X
Chhandak Bagchi, Eric Malmi 외 1명
arXiv (Cornell University)
|
2024
|
3 회 인용
Efficient Contextual Semi-Bandit Learning.
Akshay Krishnamurthy, Alekh Agarwal 외 1명
arXiv (Cornell University)
|
2015
|
3 회 인용
Efficient Methods for Non-stationary Online Learning
Peng Zhao, Yanfeng Xie 외 2명
arXiv (Cornell University)
|
2023
|
3 회 인용
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