3 papers
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…
cs.LG2024
Mitigating covariate shift in non-colocated data with learned parameter priors
Behraj Khan, Behroz Mirza, Nouman Durrani +1
When training data are distributed across{ time or space,} covariate shift across fragments of training data biases cross-validation, compromising model selection and assessment. W…