Estimating sparse positive-definite covariance matrices in high dimensions has received extensive attention the past two decades. However, many existing algorithms are proposed for a single regularization parameter and little been paid to estimating over full range of parameters. In this paper we suggest compute paths through one-step approximation warm-starting Alternating Direction Method Mul...