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Found 4 papers, 1 papers with code
Certifiable Risk-Based Engineering Design Optimization
CRiBDO is contrasted with reliability-based design optimization (RBDO), where uncertainties are accounted for via the probability of failure, through a structural and a thermal design problem.
Optimization and Control Computational Engineering, Finance, and Science Data Analysis, Statistics and Probability Computation
Diametrical Risk Minimization: Theory and Computations
The theoretical and empirical performance of Empirical Risk Minimization (ERM) often suffers when loss functions are poorly behaved with large Lipschitz moduli and spurious sharp minimizers.
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
Utilizing recently introduced concepts from statistics and quantitative risk management, we present a general variant of Batch Normalization (BN) that offers accelerated convergence of Neural Network training compared to conventional BN.
Optimistic Robust Optimization With Applications To Machine Learning
In this paper, we explore an optimistic, or best-case view of uncertainty and show that it can be a fruitful approach.
