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Decision Sciences 论文解读
Decision Sciences 领域重要论文的 AI 解读列表，按研究动机、方法与结果结构化呈现。
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5,756 results
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
Xingchen Wan, Loc Nguyen, +4
arXiv (Cornell University)
|
2021
|
14 citations
Thompson Sampling Algorithms for Mean-Variance Bandits
Qiuyu Zhu, Vincent Y. F. Tan
arXiv (Cornell University)
|
2020
|
14 citations
Towards Minimax Online Learning with Unknown Time Horizon
Haipeng Luo, Robert E. Schapire
arXiv (Cornell University)
|
2013
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14 citations
Treatment of Errors in Efficiency Calculations
Tino Ullrich, Z. Xu
arXiv (Cornell University)
|
2007
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14 citations
Two-stage sample robust optimization
Dimitris Bertsimas, Shimrit Shtern, +1
arXiv (Cornell University)
|
2019
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14 citations
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback
Yuta Saito, Suguru Yaginuma, +3
arXiv (Cornell University)
|
2019
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14 citations
Valuation Compressions in VCG-Based Combinatorial Auctions
Paul Duetting, Monika Henzinger, +1
arXiv (Cornell University)
|
2013
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14 citations
XGBoostLSS -- An extension of XGBoost to probabilistic forecasting
Alexander März
arXiv (Cornell University)
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2019
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14 citations
A layered multiple importance sampling scheme for focused optimal Bayesian experimental design
Chi Feng, Youssef Marzouk
arXiv (Cornell University)
|
2019
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13 citations
A Machine Learning Framework for Stock Selection
Xingyu Fu, Jin‐Hong Du, +4
arXiv (Cornell University)
|
2018
|
13 citations
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