3 papers
stat.ME2026
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.…
stat.ML2026
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,…
stat.ML2025
Coreset selection for the Sinkhorn divergence and generic smooth divergences
Alex Kokot, Alex Luedtke
We introduce CO2, an efficient algorithm to produce convexly-weighted coresets with respect to generic smooth divergences. By employing a functional Taylor expansion, we show a loc…