Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data

1 code implementation • 17 Dec 2023 • Srikar Katta, Harsh Parikh, Cynthia Rudin, Alexander Volfovsky

Many modern causal questions ask how treatments affect complex outcomes that are measured using wearable devices and sensors.

Causal Inference Decision Making

The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance

1 code implementation • NeurIPS 2023 • Jon Donnelly, Srikar Katta, Cynthia Rudin, Edward P. Browne

However, for a given dataset, there may be many models that explain the target outcome equally well; without accounting for all possible explanations, different researchers may arrive at many conflicting yet equally valid conclusions given the same data.