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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
Online learning in repeated auctions
Jonathan Weed, Vianney Perchet 외 1명
arXiv (Cornell University)
|
2015
|
38 회 인용
Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results
Christina Nießl, Moritz Herrmann 외 3명
arXiv (Cornell University)
|
2021
|
38 회 인용
Sequential Bayesian optimal experimental design via approximate dynamic programming
Xun Huan, Youssef Marzouk
arXiv (Cornell University)
|
2016
|
38 회 인용
Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters
Ziyu Wang, Nando de Freitas
arXiv (Cornell University)
|
2014
|
38 회 인용
A General Approach to Multi-Armed Bandits Under Risk Criteria
Asaf Cassel, Shie Mannor 외 1명
arXiv (Cornell University)
|
2018
|
37 회 인용
An interpretable LSTM neural network for autoregressive exogenous model
Tian Guo, Tao Lin 외 1명
arXiv (Cornell University)
|
2018
|
37 회 인용
Asymmetric Statistical Errors
R. J. Barlow
ArXiv.org
|
2004
|
37 회 인용
Dynamic Regret of Strongly Adaptive Methods
Lijun Zhang, Tianbao Yang 외 2명
arXiv (Cornell University)
|
2017
|
37 회 인용
Fast Convergence of Regularized Learning in Games
Vasilis Syrgkanis, Alekh Agarwal 외 2명
arXiv (Cornell University)
|
2015
|
37 회 인용
Idealization of Ganster-Reilly decomposition theorems
Julian Dontchev
ArXiv.org
|
1999
|
37 회 인용
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