research
          
      
      ∙
      07/27/2022
    Data-Driven Sample Average Approximation with Covariate Information
We study optimization for data-driven decision-making when we have obser...
          
            research
          
      
      ∙
      01/08/2021
    Heteroscedasticity-aware residuals-based contextual stochastic optimization
We explore generalizations of some integrated learning and optimization ...
          
            research
          
      
      ∙
      12/02/2020
    Residuals-based distributionally robust optimization with covariate information
We consider data-driven approaches that integrate a machine learning pre...
          
            research
          
      
      ∙
      12/17/2018
     
             
  
  
     
                             share
 share