44 citations · 63 across the 6 of their papers we have counts for
4 papers · 1 filter
Query-Adaptive Predictive Inference with Partial Labels
Maxime Cauchois, John Duchi
The cost and scarcity of fully supervised labels in statistical machine learning encourage using partially labeled data for model validation as a cheaper and more accessible altern…
Predictive Inference with Weak Supervision
Maxime Cauchois, Suyash Gupta, Alnur Ali +1
The expense of acquiring labels in large-scale statistical machine learning makes partially and weakly-labeled data attractive, though it is not always apparent how to leverage suc…
Robust Validation: Confident Predictions Even When Distributions Shift
Maxime Cauchois, Suyash Gupta, Alnur Ali +1
While the traditional viewpoint in machine learning and statistics assumes training and testing samples come from the same population, practice belies this fiction. One strategy --…
Knowing what you know: valid and validated confidence sets in multiclass and multilabel prediction
Maxime Cauchois, Suyash Gupta, John Duchi
We develop conformal prediction methods for constructing valid predictive confidence sets in multiclass and multilabel problems without assumptions on the data generating distribut…