However, in practice, the environment is typically time-varying and nonstationary .

In the tabular setting or with linear function approximation, our meta theorem shows that the performance gap incurred by ourapproachachievestheoptimal eO min(H3/2/Nexp,H/ p Nexp dependency, undersignificantly weakerassumptions compared topriorwork.

The design of Priv-PC follows a novel paradigm called sieve-and-examine which uses a small amount of privacy budget to filter out "insignificant" queries, and leverages the remaining budget to obtain highly accurate answers for the "significant" queries.

And model misspecification has not been considered as an unresolved issue [36,38,53,54].

Time-series forecasting tasks are central to a broad range of application domains, including stock pricepredictions [1,2],servicedemandforecasting [3,4],andmedicalprognoses[5-7].

Although extensivework hasrecently been done inthisfield, robustly distilling explicit model forms from very sparse data with considerable noise remains intractable.

In general, interventional data, i.e., data collected after a perturbation in