Distribution-free lower bounds on the best risk achievable in a model class are provably trivial once the class can interpolate far more than n squared points.
N., Bates, S., Cand \`e s, E
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.ST 1years
2025 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
Are all models wrong? Fundamental limits in distribution-free empirical model falsification
Distribution-free lower bounds on the best risk achievable in a model class are provably trivial once the class can interpolate far more than n squared points.