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In the talk, we will discuss different decoders (linear, nonlinear) for function recovery from partial information,
such as function values, and compare the obtained error bounds with other benchmark quantities
to comment on the optimality. In what follows, we will consider concrete examples of relevant function classes
as well as present our findings concerning the related problem of norm discretization.