3 papers
math.ST2026
Ratio Covers of Convex Sets and Optimal Mixture Density Estimation
Spencer Compton, Gábor Lugosi, Jaouad Mourtada +2
We study density estimation in Kullback-Leibler divergence: given an i.i.d. sample from an unknown density , the goal is to construct an estimator such that…
cs.LG2025
High-Accuracy List-Decodable Mean Estimation
Ziyun Chen, Spencer Compton, Daniel Kane +1
In list-decodable learning, we are given a set of data points such that an -fraction of these points come from a nice distribution , for some small , and the goal is…
math.ST2025
Attainability of Two-Point Testing Rates for Finite-Sample Location Estimation
Spencer Compton, Gregory Valiant
Le Cam's two-point testing method yields perhaps the simplest lower bound for estimating the mean of a distribution: roughly, if it is impossible to well-distinguish a distribution…