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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
5,566개의 결과
Is Q-learning Provably Efficient?
Chi Jin, Zeyuan Allen-Zhu 외 2명
arXiv (Cornell University)
|
2018
|
337 회 인용
Distributionally Robust Optimization: A Review
Hamed Rahimian, Sanjay Mehrotra
arXiv (Cornell University)
|
2019
|
332 회 인용
Publication Bias (The "File-Drawer Problem") in Scientific Inference
Jeffrey D. Scargle
ArXiv.org
|
1999
|
315 회 인용
Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
Alekh Agarwal, Daniel Hsu 외 4명
arXiv (Cornell University)
|
2014
|
313 회 인용
Attention-Sensitive Alerting
Eric Horvitz, Andy Jacobs 외 1명
arXiv (Cornell University)
|
2013
|
311 회 인용
Further Optimal Regret Bounds for Thompson Sampling
Shipra Agrawal, Navin Goyal
arXiv (Cornell University)
|
2012
|
303 회 인용
Doubly Robust Policy Evaluation and Learning
Miroslav Dudı́k, John Langford 외 1명
arXiv (Cornell University)
|
2011
|
302 회 인용
Convergence rates of efficient global optimization algorithms
Adam D. Bull
arXiv (Cornell University)
|
2011
|
299 회 인용
An index to quantify an individual's scientific research valid across disciplines
Pablo Diniz Batista, Mônica G. Campiteli 외 2명
arXiv (Cornell University)
|
2005
|
283 회 인용
The RooFit toolkit for data modeling
W. Verkerke, D. Kirkby
ArXiv.org
|
2003
|
258 회 인용
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