57 citations · 145 across the 10 of their papers we have counts for
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A Scale Invariant Flatness Measure for Deep Network Minima
Akshay Rangamani, Nam H. Nguyen, Abhishek Kumar +3
It has been empirically observed that the flatness of minima obtained from training deep networks seems to correlate with better generalization. However, for deep networks with pos…
Reducing Sampling Ratios Improves Bagging in Sparse Regression
Luoluo Liu, Sang Peter Chin, Trac D. Tran
Bagging, a powerful ensemble method from machine learning, improves the performance of unstable predictors. Although the power of Bagging has been shown mostly in classification pr…
JOBS: Joint-Sparse Optimization from Bootstrap Samples
Luoluo Liu, Sang Peter Chin, Trac D. Tran
Classical signal recovery based on minimization solves the least squares problem with all available measurements via sparsity-promoting regularization. In practice, it is…
ICR: Iterative Convex Refinement for Sparse Signal Recovery Using Spike and Slab Priors
Hojjat S. Mousavi, Vishal Monga, Trac D. Tran
In this letter, we address sparse signal recovery using spike and slab priors. In particular, we focus on a Bayesian framework where sparsity is enforced on reconstruction coeffici…