We consider the problem of online learning with non-convex losses.

Mobility impairment caused by limb loss, aging, stroke, and other movement deficiencies isasignificant challenge facedbymillions ofindividualsworldwide. Advancedassistivetechnologies,suchasprosthesesandorthoses,havethepotential to greatly improve the quality of life for such individuals. A critical component in the design of these technologies is the accurate forecasting of reference joint motion forimpaired limbs,whichishindered bythescarcity ofjointlocomotion data available for these patients.

Crystal Structure Prediction (CSP) is crucial in various scientific disciplines.