A recent line of work has shown a surprising connection between
multical...
We develop fast distribution-free conformal prediction algorithms for
ob...
We show how to take a regression function f̂ that is appropriately
“mult...
We give a simple, generic conformal prediction method for sequential
pre...
Suppose we are given two datasets: a labeled dataset and unlabeled datas...
Data deletion algorithms aim to remove the influence of deleted data poi...
We present a general, efficient technique for providing contextual
predi...
We show how to achieve the notion of "multicalibration" from Hébert-John...
There is increasing regulatory interest in whether machine learning
algo...
We study an online learning problem subject to the constraint of individ...
We give a new proof of the "transfer theorem" underlying adaptive data
a...
When selecting locations for a set of facilities, standard clustering
al...
We revisit the notion of individual fairness first proposed by Dwork et ...
We consider the multi-armed bandit setting with a twist. Rather than hav...
Settings such as lending and policing can be modeled by a centralized ag...
We consider the problem of online learning in the linear contextual band...