Explores the provable benefits of overparameterization in model compression, emphasizing the efficiency of deep neural networks and the importance of retraining for improved performance.
Explores coherent risk measures and the spectral approach to risk aversion, covering VaR, ES, subadditivity, convexity, and the creation of new risk measures.
