Associate Professor, University of Michigan Ann Arbor
2 papers at NeurIPS 2025
We propose a causally motivated estimator to quantify the extent to which strategic agents misreport their features.
We introduce random search neural networks (RSNNs), a more efficient and expressive alternative to random walk neural networks (RWNNs) that achieves strong performance on sparse graphs with significantly fewer samples.
