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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
Data-Driven Chance Constrained Programs over Wasserstein Balls
Zhi Chen, Daniel Kühn 외 1명
arXiv (Cornell University)
|
2018
|
50 회 인용
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
Sahin Lale, Kamyar Azizzadenesheli 외 2명
arXiv (Cornell University)
|
2020
|
50 회 인용
Matroid Bandits: Fast Combinatorial Optimization with Learning
Branislav Kveton, Zheng Wen 외 3명
arXiv (Cornell University)
|
2014
|
50 회 인용
Minimax Regret Bounds for Reinforcement Learning
Mohammad Gheshlaghi Azar, Ian Osband 외 1명
arXiv (Cornell University)
|
2017
|
50 회 인용
Why So Many Published Sensitivity Analyses Are False. A Systematic Review of Sensitivity Analysis Practices
Andrea Saltelli, Ksenia Aleksankina 외 6명
arXiv (Cornell University)
|
2017
|
50 회 인용
Minimization of divergences on sets of signed measures
Michel Broniatowski, Amor Keziou
arXiv (Cornell University)
|
2010
|
49 회 인용
On Lower Bounds for Regret in Reinforcement Learning
Ian Osband, Benjamin Van Roy
arXiv (Cornell University)
|
2016
|
49 회 인용
Probability Measures for Numerical Solutions of Differential Equations
Patrick R. Conrad, Mark Girolami 외 3명
arXiv (Cornell University)
|
2015
|
49 회 인용
Ratios: A short guide to confidence limits and proper use
Volker H. Franz
ArXiv.org
|
2007
|
49 회 인용
Rawlsian Fairness for Machine Learning.
Matthew Joseph, Michael Kearns 외 3명
arXiv (Cornell University)
|
2016
|
49 회 인용
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