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20112024
most citedHigh-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity

551 citations · 1.1k across the 33 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

math.ST2021★ 7 cited

Differentially private inference via noisy optimization

Marco Avella-Medina, Casey Bradshaw, Po-Ling Loh

We propose a general optimization-based framework for computing differentially private M-estimators and a new method for constructing differentially private confidence regions. Fir…

math.ST2021

Robust W-GAN-Based Estimation Under Wasserstein Contamination

Zheng Liu, Po-Ling Loh

Robust estimation is an important problem in statistics which aims at providing a reasonable estimator when the data-generating distribution lies within an appropriately defined ba…