3 papers
q-fin.CP2026
Multi-Period Martingale Optimal Transport: Classical Theory, Neural Acceleration, and Financial Applications
Sri Sairam Gautam B
This paper develops a computational framework for Multi-Period Martingale Optimal Transport (MMOT), addressing convergence rates, algorithmic efficiency, and financial calibration.…
cs.LG2026
The Final-Stage Bottleneck: A Systematic Dissection of the R-Learner for Network Causal Inference
S Sairam, Sara Girdhar, Shivam Soni
The R-Learner is a powerful, theoretically-grounded framework for estimating heterogeneous treatment effects, prized for its robustness to nuisance model errors. However, its appli…
cs.LG2025
Bhargava Cube--Inspired Quadratic Regularization for Structured Neural Embeddings
S Sairam, Prateek P Kulkarni
We present a novel approach to neural representation learning that incorporates algebraic constraints inspired by Bhargava cubes from number theory. Traditional deep learning metho…