Unlike AC, DAC can dynamically adjust the algorithm's configuration during

Many recent approaches to learn submodular functions suffer from limited expressiveness.

Theconstructed result empirically captures theprecise dynamic correlation ofsixsynthetic MTS datasets generated by a non-repeating random walk model.

Inthisparadigm, wepermit thesystem to defer a subset of its tasks to the expert. Although there are currently systems that follow this paradigm and are designed to optimize the accuracy of the final human-AI team, the general methodology for developing such systems under a set of constraints (e.g., algorithmic fairness, expert intervention budget, defer of anomaly,etc.)