RAMP introduces an adaptive scalar denoiser in the AMP framework for low-complexity discrete-aware detection in overloaded MIMO, closely matching IDLS performance while avoiding standard AMP failure.
Hyperparameter Optimization: Foundations, Algorithms, Best Practices, and Open Challenges
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Large-scale neutral benchmark of survival models on low-dimensional right-censored data finds Cox PH performs comparably to more complex methods across discrimination, calibration, and predictive metrics.
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Regularized Approximate Message Passing for Overloaded Discrete Linear Inversion
RAMP introduces an adaptive scalar denoiser in the AMP framework for low-complexity discrete-aware detection in overloaded MIMO, closely matching IDLS performance while avoiding standard AMP failure.
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A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data
Large-scale neutral benchmark of survival models on low-dimensional right-censored data finds Cox PH performs comparably to more complex methods across discrimination, calibration, and predictive metrics.