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20162022
most citedImproving Deep Pancreas Segmentation in CT and MRI Images via Recurrent Neural Contextual Learning and Direct Loss Function

130 citations · 260 across the 13 of their papers we have counts for

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cs.LG2018

Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization

Minshuo Chen, Lin Yang, Mengdi Wang +1

Stochastic optimization naturally arises in machine learning. Efficient algorithms with provable guarantees, however, are still largely missing, when the objective function is nonc…

cs.LG2017★ 1 cited

Recursive Exponential Weighting for Online Non-convex Optimization

Lin Yang, Cheng Tan, Wing Shing Wong

In this paper, we investigate the online non-convex optimization problem which generalizes the classic {online convex optimization problem by relaxing the convexity assumption on t…