75 citations · 218 across the 11 of their papers we have counts for
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stat.ML2020
Further Analysis of Outlier Detection with Deep Generative Models
Ziyu Wang, Bin Dai, David Wipf +1
The recent, counter-intuitive discovery that deep generative models (DGMs) can frequently assign a higher likelihood to outliers has implications for both outlier detection applica…
stat.ML2012★ 17 cited
Non-Convex Rank Minimization via an Empirical Bayesian Approach
David Wipf
In many applications that require matrix solutions of minimal rank, the underlying cost function is non-convex leading to an intractable, NP-hard optimization problem. Consequently…
stat.ML2012★ 3 cited
Dual-Space Analysis of the Sparse Linear Model
David Wipf, Yi Wu
Sparse linear (or generalized linear) models combine a standard likelihood function with a sparse prior on the unknown coefficients. These priors can conveniently be expressed as a…