3 papers
stat.ML2026
Optimal Prediction-Augmented Algorithms for Testing Independence of Distributions
Maryam Aliakbarpour, Alireza Azizi, Ria Stevens
Independence testing is a fundamental problem in statistical inference: given samples from a joint distribution over multiple random variables, the goal is to determine whether…
cs.DS2025
Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor
Maryam Aliakbarpour, Zhan Shi, Ria Stevens +1
Estimating the density of a distribution from its samples is a fundamental problem in statistics. Hypothesis selection addresses the setting where, in addition to a sample set, we…
stat.ML2025
High-Probability Bounds For Heterogeneous Local Differential Privacy
Maryam Aliakbarpour, Alireza Fallah, Swaha Roy +1
We study statistical estimation under local differential privacy (LDP) when users may hold heterogeneous privacy levels and accuracy must be guaranteed with high probability. Depar…