Abstract: Stochastic bilevel optimization (SBO) is becoming increasingly essential in machine learning due to its versatility in handling nested structures. To address large-scale SBO, decentralized ...

Abstract: Adaptive observers have undergone sustained theoretical evolution and gained widespread industrial adoption due to their inherent capability for simultaneous parameter and state estimation ...

Even 20 years after their mainstream adoption, algorithmic trading continues to challenge regulators and compliance teams. It's not just that it is inherently complex, but the pace of change and ...