most citedVI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition

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math.OC2022

Rockafellian Relaxation and Stochastic Optimization under Perturbations

Johannes O. Royset, Louis L. Chen, Eric Eckstrand

In practice, optimization models are often prone to unavoidable inaccuracies due to dubious assumptions and corrupted data. Traditionally, this placed special emphasis on risk-base…