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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
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously
Chung‐Wei Lee, Haipeng Luo 외 3명
arXiv (Cornell University)
|
2021
|
4 회 인용
Achieving Parsimony in Bayesian VARs with the Horseshoe Prior
Lendie Follett, Cindy Yu
arXiv (Cornell University)
|
2017
|
4 회 인용
Adapting to Misspecification in Contextual Bandits with Offline Regression Oracles
Sanath Kumar Krishnamurthy, Vitor Hadad 외 1명
arXiv (Cornell University)
|
2021
|
4 회 인용
Adaptive Dynamics of Realistic Small-World Networks
Olof Mogren, Oskar J. Sandberg 외 2명
ArXiv.org
|
2008
|
4 회 인용
Adaptive Experimental Design for Efficient Treatment Effect Estimation: Randomized Allocation via Contextual Bandit Algorithm.
Masahiro Kato, Takuya Ishihara 외 2명
arXiv (Cornell University)
|
2020
|
4 회 인용
Adaptive Filter Design for Stock Market Prediction Using a Correlation-based Criterion
J. E. Wesen, V. V. Vermehren 외 1명
arXiv (Cornell University)
|
2015
|
4 회 인용
Adaptive particle-based approximations of the Gibbs posterior for inverse problems
Zilong Zou, Sayan Mukherjee 외 2명
arXiv (Cornell University)
|
2019
|
4 회 인용
Adaptive Rate of Convergence of Thompson Sampling for Gaussian Process Optimization
Kinjal Basu, Souvik Ghosh
arXiv (Cornell University)
|
2017
|
4 회 인용
Advancing Behavior Engineering: Toward Integrated Events Modeling
Sabah Al‐Fedaghi
arXiv (Cornell University)
|
2021
|
4 회 인용
Aggregating Algorithm for Prediction of Packs
Dmitry Adamskiy, Anthony Bellotti 외 2명
arXiv (Cornell University)
|
2017
|
4 회 인용
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