3 papers
cs.IT2020
Local Convergence of an AMP Variant to the LASSO Solution in Finite Dimensions
Yanting Ma, Min Kang, Jack W. Silverstein +1
A common sparse linear regression formulation is the l1 regularized least squares, which is also known as least absolute shrinkage and selection operator (LASSO). Approximate messa…
math.ST2019
Non-Markovian Monte Carlo on Directed Graphs
Chul-Ho Lee, Min Kang, Do Young Eun
Markov Chain Monte Carlo (MCMC) has been the de facto technique for sampling and inference of large graphs such as online social networks. At the heart of MCMC lies the ability to…
math.PR2003
Behavior dominated by slow particles in a disordered asymmetric exclusion process
Ilie Grigorescu, Min Kang, Timo Seppalainen
We study the large space and time scale behavior of a totally asymmetric, nearest-neighbor exclusion process in one dimension with random jump rates attached to the particles. When…