Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds

NeurIPS 2018 Xiaohan ChenJialin LiuZhangyang WangWotao Yin

In recent years, unfolding iterative algorithms as neural networks has become an empirical success in solving sparse recovery problems. However, its theoretical understanding is still immature, which prevents us from fully utilizing the power of neural networks... (read more)

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