1 citations · 2 across the 10 of their papers we have counts for
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Sharp training-conditional coverage for conformal prediction under covariate shift
Mehrdad Pournaderi
Weighted split conformal prediction reweights calibration scores by the likelihood ratio between the test and training covariate distributions and guarantees marginal coverage unde…
On the Adversarial Robustness of Learning-based Conformal Novelty Detection
Daofu Zhang, Mehrdad Pournaderi, Hanne M. Clifford +2
This paper studies the adversarial robustness of conformal novelty detection. In particular, we focus on two powerful learning-based frameworks that come with finite-sample false d…
Training-Conditional Coverage Bounds under Covariate Shift
Mehrdad Pournaderi, Yu Xiang
Conformal prediction methodology has recently been extended to the covariate shift setting, where the distribution of covariates differs between training and test data. While exist…
Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms
Mehrdad Pournaderi, Yu Xiang
The training-conditional coverage performance of the conformal prediction is known to be empirically sound. Recently, there have been efforts to support this observation with theor…
Differentially Private Variable Selection via the Knockoff Filter
Mehrdad Pournaderi, Yu Xiang
The knockoff filter, recently developed by Barber and Candes, is an effective procedure to perform variable selection with a controlled false discovery rate (FDR). We propose a pri…