3 papers
stat.ML2026
Mean Testing under Truncation beyond Gaussian
Yuhao Wang, Roberto Imbuzeiro Oliveira, Themis Gouleakis
We characterize the fundamental limits of high-dimensional mean testing under arbitrary truncation, where samples are drawn from the conditional distribution for…
math.ST2025
Robust, sub-Gaussian mean estimators in metric spaces
Daniel Bartl, Gabor Lugosi, Roberto Imbuzeiro Oliveira +1
Estimating the mean of a random vector from i.i.d. data has received considerable attention, and the optimal accuracy one may achieve with a given confidence is fairly well underst…
math.ST2025
Counting communities in weighted Stochastic Block Models via semidefinite programming
Deborah Oliveira, Andressa Cerqueira, Roberto Oliveira
We consider the problem of estimating the number of communities in a weighted balanced Stochastic Block Model. We construct hypothesis tests based on semidefinite programming and w…