From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
PIcsC: Partitioning-Induced Covariate Shift Correction
Behraj Khan, Behroz Mirza, Syed Ahmad Chan Bukhari +1
The paper introduces PIcsC, a Fisher information‑based regularization method that corrects covariate shift caused by data partitioning in both centralized (e.g., cross‑validation)…
cs.LG2025
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization
Behraj Khan, Behroz Mirza, Nouman Durrani +1
The continuous surge in data volume and velocity is often dealt with using data orchestration and distributed processing approaches, abstracting away the machine learning challenge…
cs.LG2025
Causal Covariate Shift Correction using Fisher information penalty
Behraj Khan, Behroz Mirza, Tahir Syed
Evolving feature densities across batches of training data bias cross-validation, making model selection and assessment unreliable (\cite{sugiyama2012machine}). This work takes a d…