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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
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
Xingchen Wan, Loc Nguyen 외 4명
arXiv (Cornell University)
|
2021
|
14 회 인용
Thompson Sampling Algorithms for Mean-Variance Bandits
Qiuyu Zhu, Vincent Y. F. Tan
arXiv (Cornell University)
|
2020
|
14 회 인용
Towards Minimax Online Learning with Unknown Time Horizon
Haipeng Luo, Robert E. Schapire
arXiv (Cornell University)
|
2013
|
14 회 인용
Treatment of Errors in Efficiency Calculations
Tino Ullrich, Z. Xu
arXiv (Cornell University)
|
2007
|
14 회 인용
Two-stage sample robust optimization
Dimitris Bertsimas, Shimrit Shtern 외 1명
arXiv (Cornell University)
|
2019
|
14 회 인용
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
Yuta Saito, Suguru Yaginuma 외 3명
arXiv (Cornell University)
|
2019
|
14 회 인용
Valuation Compressions in VCG-Based Combinatorial Auctions
Paul Duetting, Monika Henzinger 외 1명
arXiv (Cornell University)
|
2013
|
14 회 인용
XGBoostLSS -- An extension of XGBoost to probabilistic forecasting
Alexander März
arXiv (Cornell University)
|
2019
|
14 회 인용
A layered multiple importance sampling scheme for focused optimal Bayesian experimental design
Chi Feng, Youssef Marzouk
arXiv (Cornell University)
|
2019
|
13 회 인용
A Machine Learning Framework for Stock Selection
Xingyu Fu, Jin‐Hong Du 외 4명
arXiv (Cornell University)
|
2018
|
13 회 인용
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