Author

Purav Matlia

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Preprint Oct 2026

Selective Tie Learning: Mitigating Spurious Correlations in Preference Optimization

Preference optimization can learn spurious correlations, and augmenting the preference data with ties (equally preferred responses) can reduce spurious reliance. However, ties differ in their corrective effect, making their selection for augmentation important. For log-linear policies, we derive each tie's influence on...

Christian Moya, Purav Matlia, E. Thornley et al. · 0 citations

#machine learning Preprint May 2026

Conformalized Quantum DeepONet Ensembles: Towards Scalable Operator Learning with Distribution-Free Guarantees

These results connect resource-aware scalability analysis with finite-sample uncertainty guarantees for quantum operator learning, and explore hybrid classical-quantum architectures and superposed execution to manage ensemble runtime and hardware requirements.

Purav Matlia, Christian Moya, Guang Lin · 0 citations