Author

K. Balasubramanian

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#machine learning Preprint Oct 2026

Adaptive Mean Estimation by In-Context Learning: A Gradient-Flow Analysis

Prior Fitted Networks (PFNs) such as TabPFN now rival established statistical procedures across prediction and estimation tasks. A natural explanation is that PFNs have the property of statistical adaptivity, that is, they perform nearly as well as a method tailored to the true data-generating model for a heterogeneous...

Martin Eppert, K. Balasubramanian, Subhro Ghosh et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Counterfactual Generation via Flow Matching: Coupling-Sensitive End-to-End Rates

Counterfactual generation seeks to sample outcomes under a hypothetical intervention or decision using observational data collected under the factual assignment mechanism. We develop a flow-matching approach that combines a sample-split, doubly robust training objective with a learned coupling between observed source o...

Yun-Rui Guan, K. Balasubramanian, S. Kasiviswanathan · 0 citations