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cs.LG2022
Provable Guarantees for Sparsity Recovery with Deterministic Missing Data Patterns
Chuyang Ke, Jean Honorio
We study the problem of consistently recovering the sparsity pattern of a regression parameter vector from correlated observations governed by deterministic missing data patterns u…
cs.LG2022
Dual Convexified Convolutional Neural Networks
Site Bai, Chuyang Ke, Jean Honorio
We propose the framework of dual convexified convolutional neural networks (DCCNNs). In this framework, we first introduce a primal learning problem motivated by convexified convol…