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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
Computing Worst-case Input Models in Stochastic Simulation
Soumyadip Ghosh, Henry Lam
arXiv (Cornell University)
|
2015
|
14 회 인용
Constrained Automated Mechanism Design for Infinite Games of Incomplete Information
Yevgeniy Vorobeychik, Daniel M. Reeves 외 1명
arXiv (Cornell University)
|
2012
|
14 회 인용
Current state of LLM Risks and AI Guardrails
Suriya Ganesh Ayyamperumal, Ge, Limin
arXiv (Cornell University)
|
2024
|
14 회 인용
Data-driven distributionally robust MPC using the Wasserstein metric
Zhengang Zhong, Ehecatl Antonio del Rio‐Chanona 외 1명
arXiv (Cornell University)
|
2021
|
14 회 인용
Deeply Learning Derivatives
Ryan Ferguson, Andrew R. Green
arXiv (Cornell University)
|
2018
|
14 회 인용
Defensive forecasting for optimal prediction with expert advice
Vladimir Vovk
ArXiv.org
|
2007
|
14 회 인용
Distributed Community Detection via Metastability of the 2-Choices Dynamics
Emilio Cruciani, Emanuele Natale 외 1명
arXiv (Cornell University)
|
2018
|
14 회 인용
Distributed Non-Stochastic Experts
Varun Kanade, Zhenming Liu 외 1명
arXiv (Cornell University)
|
2012
|
14 회 인용
Distributionally Robust Chance-Constrained Programs with Right-Hand Side Uncertainty under Wasserstein Ambiguity
Nam Ho-Nguyen, Fatma Kılınç-Karzan 외 2명
arXiv (Cornell University)
|
2020
|
14 회 인용
Dynamic risk measuring under model uncertainty: taking advantage of the hidden probability measure
Jocelyne Bion–Nadal, Magali Kervarec
arXiv (Cornell University)
|
2010
|
14 회 인용
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