4 citations · 8 across the 4 of their papers we have counts for
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cs.LG2021★ 3 cited
Optimized conformal classification using gradient descent approximation
Anthony Bellotti
Conformal predictors are an important class of algorithms that allow predictions to be made with a user-defined confidence level. They are able to do this by outputting prediction…
cs.LG2021★ 1 cited
Approximation to Object Conditional Validity with Inductive Conformal Predictors
Anthony Bellotti
Conformal predictors are machine learning algorithms that output prediction sets that have a guarantee of marginal validity for finite samples with minimal distributional assumptio…
cs.LG2017★ 4 cited
Aggregating Algorithm for Prediction of Packs
Dmitry Adamskiy, Tony Bellotti, Raisa Dzhamtyrova +1
This paper formulates the protocol for prediction of packs, which a special case of prediction under delayed feedback. Under this protocol, the learner must make a few predictions…