7 papers · 1 filter
Conformalized Safe Feasible Sets in Uncertain Decision Systems
Yajie Bao, Yinjie Min, Haojie Ren +1
Safety-critical decision systems often require a downstream optimizer to choose from an unknown feasible set determined by an unobserved label . Given a context , the goal is…
Generalized Boundary FDR Control under Arbitrary Dependence: An Approach on Closure Principle
Yifan Zhang, Wentao Zhang, Changliang Zou +1
False discovery rate (FDR) is a cornerstone of modern multiple testing. However, it often fails to guarantee the reliability of "marginal" discoveries that lie at the boundary of t…
Shape-Adaptive Conditional Calibration for Conformal Prediction via Minimax Optimization
Yajie Bao, Chuchen Zhang, Zhaojun Wang +2
Achieving valid conditional coverage in conformal prediction is challenging due to the theoretical difficulty of satisfying pointwise constraints in finite samples. Building upon t…
Aggregating Conformal Prediction Sets via α-Allocation
Congbin Xu, Yue Yu, Haojie Ren +2
Conformal prediction offers a distribution-free framework for constructing prediction sets with finite-sample coverage. Yet, efficiently leveraging multiple conformity scores to re…
Feedback-Enhanced Online Multiple Testing with Applications to Conformal Selection
Lin Lu, Yuyang Huo, Haojie Ren +2
This work studies online multiple testing with feedback, where decisions are made sequentially, and the true state of the hypothesis is revealed after decisions are made, either in…
Unified Conformalized Multiple Testing with Full Data Efficiency
Yuyang Huo, Xiaoyang Wu, Changliang Zou +1
Conformalized multiple testing offers a model-free way to control predictive uncertainty in decision-making. Existing methods typically use only part of the available data to build…
e-GAI: e-value-based Generalized -Investing for Online False Discovery Rate Control
Yifan Zhang, Zijian Wei, Haojie Ren +1
Online multiple hypothesis testing has attracted a lot of attention in many applications, e.g., anomaly status detection and stock market price monitoring. The state-of-the-art gen…