Under the supervised scenario, we improve the state-of-the-art certified robustness for allarchitectures(e.g.

Inhuman principal--agent problems, seemingly inconsequential changes toanagent'sincentives often lead to surprising, counter-intuitive, and counter-productive behavior (21). Consequently, we must ask when thismisalignment is costly: when is it counter-productive to optimize for an incompleteproxy?

Bayesian bandit methods is necessary.

Tostudy thishypothesis, wepropose GatedL0 Regularized Dynamics (GateL0RD), a novel recurrent architecture that incorporates the inductive bias to maintain stable, sparsely changing latent states.