64 citations · 192 across the 29 of their papers we have counts for
4 papers · 1 filter
Signed Support Recovery for Single Index Models in High-Dimensions
Matey Neykov, Qian Lin, Jun S. Liu
In this paper we study the support recovery problem for single index models , where is an unknown link function, $\bol…
On consistency and sparsity for sliced inverse regression in high dimensions
Qian Lin, Zhigen Zhao, Jun S. Liu
We provide here a framework to analyze the phase transition phenomenon of slice inverse regression (SIR), a supervised dimension reduction technique introduced by \cite{Li:1991}. U…
Locally weighted Markov chain Monte Carlo
Espen Bernton, Shihao Yang, Yang Chen +2
We propose a weighting scheme for the proposals within Markov chain Monte Carlo algorithms and show how this can improve statistical efficiency at no extra computational cost. Thes…
Interpretable Selection and Visualization of Features and Interactions Using Bayesian Forests
Viktoriya Krakovna, Jiong Du, Jun S. Liu
It is becoming increasingly important for machine learning methods to make predictions that are interpretable as well as accurate. In many practical applications, it is of interest…