Auto-unrolled PGD with AutoML tuning reaches 98.8% of 200-iteration solver spectral efficiency using only 5 layers and 100 samples.
An iter- atively weighted MMSE approach to distributed sum-utility maximization for a MIMO interfering broadcast channel,
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Auto-Unrolled Proximal Gradient Descent: An AutoML Approach to Interpretable Waveform Optimization
Auto-unrolled PGD with AutoML tuning reaches 98.8% of 200-iteration solver spectral efficiency using only 5 layers and 100 samples.