2 papers
stat.ME2026
Adaptive Penalization and Bootstrap-Smoothed Inference for Two-Sample Mendelian Randomization with Summary Data
Muhammad Qasim, Kai Wang, Ishan S Bhatt
Two-sample Mendelian randomization (MR) uses genetic variants as instrumental variables to estimate causal effects from observational data using summary association statistics. How…
stat.ML2026
Adaptive Norm-Based Regularization for Neural Networks
Muhammad Qasim, Farrukh Javed
In this paper, we study norm-based regularization methods for neural networks. We compare existing penalization approaches and introduce two regularization strategies that extend c…