4 citations · 4 across the 8 of their papers we have counts for
9 papers · 1 filter
COINS: Any-Stage-Valid and Utility-Oriented Sequential Conformal Prediction
Wangcheng Li, Nan Qiao, Xu Guo +1
Many predictive workflows update uncertainty as information is acquired and use intermediate reports to determine whether to stop or deploy further resources. We study conformal in…
Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing
Rongyi Sun, Wenguang Sun, Zinan Zhao
This paper addresses structured out-of-distribution (OOD) testing in high-stakes machine learning applications. Traditional conformal methods rely on joint exchangeability, making…
Empirical Bayes Estimation with Side Information: A Nonparametric Integrative Tweedie Approach
Jiajun Luo, Trambak Banerjee, Gourab Mukherjee +1
We investigate the problem of compound estimation of normal means while accounting for the presence of side information. Leveraging the empirical Bayes framework, we develop a nonp…
Ranking and Selection in Large-Scale Inference of Heteroscedastic Units
Bowen Gang, Luella Fu, Gareth James +1
The allocation of limited resources to a large number of potential candidates presents a pervasive challenge. In the context of ranking and selecting top candidates from heterosced…
A Locally Adaptive Shrinkage Approach to False Selection Rate Control in High-Dimensional Classification
Bowen Gang, Yuantao Shi, Wenguang Sun
The uncertainty quantification and error control of classifiers are crucial in many high-consequence decision-making scenarios. We propose a selective classification framework that…
Large-Scale Shrinkage Estimation under Markovian Dependence
Bowen Gang, Gourab Mukherjee, Wenguang Sun
We consider the problem of simultaneous estimation of a sequence of dependent parameters that are generated from a hidden Markov model. Based on observing a noise contaminated vect…