Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful systems rely on designs that rarely appear in traditional programming ...

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: Recently, developed data-driven SINDy-based techniques can identify the dynamic model of serial robots without simplifying assumptions nor pre-knowledge of all kinematics and geometric ...