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Constrained optimization of objective functions determined from random forests
16 references·0 citing·43 second hop
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References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 2002The Sample Average Approximation Method for Stochastic Discrete Optimization1,989 cited
  • 2004A stochastic programming approach for supply chain network design under uncertainty1,131 cited
  • 2021Smart “Predict, then Optimize”829 cited
  • 2019From Predictive to Prescriptive Analytics781 cited
  • 2015Analytics for an Online Retailer: Demand Forecasting and Price Optimization542 cited
  • 2018The Big Data Newsvendor: Practical Insights from Machine Learning510 cited
  • 2016Machine Learning and Portfolio Optimization284 cited
  • 2021Personalized Dynamic Pricing with Machine Learning: High-Dimensional Features and Heterogeneous Elasticity202 cited
  • 2016Early Predictions of Movie Success: The Who, What, and When of Profitability183 cited
  • 2021A Statistical Learning Approach to Personalization in Revenue Management142 cited
  • 2020Feature-Based Dynamic Pricing128 cited
  • 2012An improved Benders decomposition algorithm for the logistics facility location problem with capacity expansions86 cited
  • 2002A potential use of data envelopment analysis for the inverse classification problem52 cited
  • 2009

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Testing the Validity of a Demand Model: An Operations Perspective
47 cited
  • 2018Scheduling Promotion Vehicles to Boost Profits40 cited
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