7 citations · 9 across the 3 of their papers we have counts for
3 papers
stat.ML2023★ 2 cited
Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization
Yin-Ting Liao, Hengrui Luo, Anna Ma
We introduce an efficient and robust auto-tuning framework for hyperparameter selection in dimension reduction (DR) algorithms, focusing on large-scale datasets and arbitrary perfo…
math.PR2020★ 7 cited
Geometric sharp large deviations for random projections of spheres and balls
Yin-Ting Liao, Kavita Ramanan
Accurate estimation of tail probabilities of projections of high-dimensional probability measures is of relevance in high-dimensional statistics and asymptotic geometric analysis.…
math.PR2019
An asymptotic thin shell condition and large deviations for random multidimensional projections
Steven Soojin Kim, Yin-Ting Liao, Kavita Ramanan
Consider the projection of an -dimensional random vector onto a random -dimensional basis, , drawn uniformly from the Haar measure on the Stiefel manifold of or…