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Decision Sciences
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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5,642 results
A Machine Learning Model for Stock Market Prediction
Osman Hegazy, Omar S. Soliman, +1
arXiv (Cornell University)
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2014
|
119 citations
Efficient Optimal Learning for Contextual Bandits
Miroslav Dudı́k, Daniel Hsu, +5
arXiv (Cornell University)
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2011
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119 citations
Optimization, Learning, and Games with Predictable Sequences
Sasha Rakhlin, Karthik Sridharan
arXiv (Cornell University)
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2013
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118 citations
Reinforcement and Imitation Learning via Interactive No-Regret Learning
Stéphane Ross, J. Andrew Bagnell
arXiv (Cornell University)
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2014
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118 citations
Exploring multi-dimensional spaces: a Comparison of Latin Hypercube and Quasi Monte Carlo Sampling Techniques
Sergei Kucherenko, Daniel Albrecht, +1
arXiv (Cornell University)
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2015
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117 citations
Predicting the direction of stock market prices using random forest
Luckyson Khaidem, Snehanshu Saha, +1
arXiv (Cornell University)
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2016
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117 citations
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making
Zana Buçinca, Maja Barbara Malaya, +1
arXiv (Cornell University)
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2021
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117 citations
Approximate Revenue Maximization with Multiple Items
Sergiu Hart, Noam Nisan
2012
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116 citations
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
Gerhard Weikum, Xin Dong, +2
arXiv (Cornell University)
|
2020
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115 citations
Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
Ian Osband, Benjamin Van Roy
arXiv (Cornell University)
|
2016
|
115 citations
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