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Because of the Bayes’ laws, the newest posterior odds of y = step 1 shall be shown as the:

Because of the Bayes’ laws, the newest posterior odds of y = step 1 shall be shown as the:

(Failure of OOD detection under invariant classifier) Consider an out-of-distribution input which contains the environmental feature: ? out ( x ) = M inv z out + M e z e , where z out ? ? inv . Given the invariant classifier (cf. Lemma 2), the posterior probability for the OOD input is p ( y = 1 ? ? out ) = ? ( 2 p ? z e ? + log ? / ( 1 ? ? ) ) , where ? is the logistic function. Thus for arbitrary confidence 0 < c : = P ( y = 1 ? ? out ) < 1 , there exists ? out ( x ) with z e such that p ? z e = 1 2 ? log c ( 1 ? ? ) ? ( 1 ? c ) .

Proof. Think an out-of-delivery input x out with Meters inv = [ We s ? s 0 step one ? s ] , and Yards age = [ 0 s ? Læs resten