40 citations · 50 across the 5 of their papers we have counts for
5 papers
Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations
Xin Bing, Florentina Bunea, Seth Strimas-Mackey +1
This paper studies the estimation of high-dimensional, discrete, possibly sparse, mixture models in topic models. The data consists of observed multinomial counts of words acro…
Prediction in latent factor regression: Adaptive PCR and beyond
Xin Bing, Florentina Bunea, Seth Strimas-Mackey +1
This work is devoted to the finite sample prediction risk analysis of a class of linear predictors of a response from a high-dimensional random vector $X\in \math…
Interpolating Predictors in High-Dimensional Factor Regression
Florentina Bunea, Seth Strimas-Mackey, Marten Wegkamp
This work studies finite-sample properties of the risk of the minimum-norm interpolating predictor in high-dimensional regression models. If the effective rank of the covariance ma…
Inference in latent factor regression with clusterable features
Xin Bing, Florentina Bunea, Marten Wegkamp
Regression models, in which the observed features and the response depend, jointly, on a lower dimensional, unobserved, latent vector , with $K<…
Deconfinement in N=1 super Yang-Mills theory on R^3 x S^1 via dual-Coulomb gas and "affine" XY-model
Mohamed M. Anber, Scott Collier, Erich Poppitz +2
We study finite-temperature N=1 SU(2) super Yang-Mills theory, compactified on a spatial circle of size L with supersymmetric boundary conditions. In the semiclassical small-L regi…