9 citations · 21 across the 8 of their papers we have counts for
6 papers · 1 filter
The Sample Complexity of Simple Binary Hypothesis Testing
Ankit Pensia, Varun Jog, Po-Ling Loh
The sample complexity of simple binary hypothesis testing is the smallest number of i.i.d.\ samples required to distinguish between two distributions and in either: (i) the…
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…
Adaptive Estimation and Statistical Inference for High-Dimensional Graph-Based Linear Models
Duzhe Wang, Po-Ling Loh
We consider adaptive estimation and statistical inference for high-dimensional graph-based linear models. In our model, the coordinates of regression coefficients correspond to an…
Estimating location parameters in entangled single-sample distributions
Ankit Pensia, Varun Jog, Po-Ling Loh
We consider the problem of estimating the common mean of independently sampled data, where samples are drawn in a possibly non-identical manner from symmetric, unimodal distributio…
Scale calibration for high-dimensional robust regression
Po-Ling Loh
We present a new method for high-dimensional linear regression when a scale parameter of the additive errors is unknown. The proposed estimator is based on a penalized Huber -es…
A theory of maximum likelihood for weighted infection graphs
Justin Khim, Po-Ling Loh
We study the problem of parameter estimation based on infection data from an epidemic outbreak on a graph. We assume that successive infections occur via contagion; i.e., transmiss…