4 papers
Optimal Design under Interference, Homophily, and Robustness Trade-offs
Vydhourie Thiyageswaran, Alex Kokot, Jennifer Brennan +3
To minimize the mean squared error (MSE) in global average treatment effect (GATE) estimation under network interference, a popular approach is to use a cluster-randomized design.…
Local EGOP for Continuous Index Learning
Alex Kokot, Anand Hemmady, Vydhourie Thiyageswaran +1
We introduce the setting of continuous index learning, in which a function of many variables varies only along a small number of directions at each point. For efficient estimation,…
Data-adaptive exposure thresholds for the Horvitz-Thompson estimator of the Average Treatment Effect in experiments with network interference
Vydhourie Thiyageswaran, Tyler McCormick, Jennifer Brennan
Randomized controlled trials often suffer from interference, a violation of the Stable Unit Treatment Values Assumption (SUTVA) in which a unit's treatment assignment affects the o…
General Covariance-Based Conditions for Central Limit Theorems with Dependent Triangular Arrays
Arun G. Chandrasekhar, Matthew O. Jackson, Tyler H. McCormick +1
We present a general central limit theorem with simple, easy-to-check covariance-based sufficient conditions for triangular arrays of random vectors when all variables could be int…