Evaluating the utility of conformal prediction sets for ai-advised image labeling
As deep neural networks are more commonly deployed in high-stakes domains, their black-
box nature makes uncertainty quantification challenging. We investigate the effects of …
box nature makes uncertainty quantification challenging. We investigate the effects of …
Length Optimization in Conformal Prediction
Conditional validity and length efficiency are two crucial aspects of conformal prediction
(CP). Achieving conditional validity ensures accurate uncertainty quantification for data …
(CP). Achieving conditional validity ensures accurate uncertainty quantification for data …
Conformal Prediction with Learned Features
In this paper, we focus on the problem of conformal prediction with conditional guarantees.
Prior work has shown that it is impossible to construct nontrivial prediction sets with full …
Prior work has shown that it is impossible to construct nontrivial prediction sets with full …
Conformal Diffusion Models for Individual Treatment Effect Estimation and Inference
H Cai, H Jin, L Li - arXiv preprint arXiv:2408.01582, 2024 - arxiv.org
Estimating treatment effects from observational data is of central interest across numerous
application domains. Individual treatment effect offers the most granular measure of …
application domains. Individual treatment effect offers the most granular measure of …
Conformal time series decomposition with component-wise exchangeability
Conformal prediction offers a practical framework for distribution-free uncertainty
quantification, providing finite-sample coverage guarantees under relatively mild …
quantification, providing finite-sample coverage guarantees under relatively mild …
Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations
In the analysis of cluster randomized trials, two typical features are that individuals within a
cluster are correlated and that the total number of clusters can sometimes be limited. While …
cluster are correlated and that the total number of clusters can sometimes be limited. While …
Strategies for Communicating Uncertainty in Predictive Systems: Designing Interfaces and Visualizations for Enhanced Data-Driven Decision-Making
D Zhang - 2024 - search.proquest.com
The increasing availability of online data and advances in computing technologies have
accelerated the development and democratized the application of complex statistical models …
accelerated the development and democratized the application of complex statistical models …