3 papers
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.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.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…