research
          
      
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      06/21/2021
    Nonparametric causal structure learning in high dimensions
The PC and FCI algorithms are popular constraint-based methods for learn...
          
            research
          
      
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      05/19/2021
    High-dimensional Change-point Detection Using Generalized Homogeneity Metrics
Change-point detection has been a classical problem in statistics and ec...
          
            research
          
      
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      09/30/2019
    A New Framework for Distance and Kernel-based Metrics in High Dimensions
The paper presents new metrics to quantify and test for (i) the equality...
          
            research
          
      
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      11/25/2017