2018 Best Paper Awards

2018 Awards

INFORMS 2018 Data Mining Best paper Award Finalists

     Applied Track
  • “Graphical Lasso and Thresholding: Equivalence and Closed- Form Solutions” 
by Salar Fattahi (student) and Somayeh Sojoudi, University of California Berkeley.
  • “Learning Valuation Distributions from Bundle Sales” 
by student: Will Ma (student) and David Simchi-Levi, MIT
  • “Confounding-Robust Policy Improvement”, Angela Zhou (student) and Nathan Kallus, Cornell University

    Winner

  • Salar Fattahi, University of California, Berkeley (with Somayeh Sojoudi)​ - Graphical Lasso and Thresholding: Equivalence and Closed-Form Solutions

    Theoretical Track
  • “Optimizing Objective Functions Determined from Random Forests”, Max Biggs (student) and Rim Hariss, MIT
  • “Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes with Heterogeneous Sources of Data”, Mostafa Reisi Gahrooei (student), Hao Yan, Kamran Paynabar, and Jianjun Shi, Georgia Institute of Technology 

    Winner
  • Max Biggs and Rim Hariss, MIT​ - Optimizing Objective Functions Determined from Random Forests ​