2 citations · 6 across the 16 of their papers we have counts for
3 papers · 1 filter
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
Kensuke Nakamura, Stefano Soatto, Byung-Woo Hong
We present a stochastic first-order optimization algorithm, named BCSC, that adds a cyclic constraint to stochastic block-coordinate descent. It uses different subsets of the data…
Adaptive Regularization of Some Inverse Problems in Image Analysis
Byung-Woo Hong, Ja-Keoung Koo, Martin Burger +1
We present an adaptive regularization scheme for optimizing composite energy functionals arising in image analysis problems. The scheme automatically trades off data fidelity and r…
Multi-Label Segmentation via Residual-Driven Adaptive Regularization
Byung-Woo Hong, Ja-Keoung Koo, Stefano Soatto
We present a variational multi-label segmentation algorithm based on a robust Huber loss for both the data and the regularizer, minimized within a convex optimization framework. We…