LSCI constructs function-valued, locally adaptive conformal prediction sets for operator models by weighting a functional depth score around the test input, with a coverage-gap bound under local exchangeability.
Sincedis symmetric, this becomes dTV(R,R (t))≤2d(f t,fn+1)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
stat.ML 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Locally Adaptive Conformal Inference for Operator Models
LSCI constructs function-valued, locally adaptive conformal prediction sets for operator models by weighting a functional depth score around the test input, with a coverage-gap bound under local exchangeability.