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Author

R. Pasupathy

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Preprint Oct 2026

Two-Loop Stochastic Mirror Langevin Algorithms for Constrained Sampling

A stochastic first-order version of the Mirror Langevin Algorithm (sFO-MLA) is studied and finite-time Wasserstein guarantees for sFO-MLA are established that explicitly separate mixing, Euler--Maruyama discretization, and stochastic-gradient errors.

Rui-Ting Tong, Antik Chakraborty, R. Pasupathy · 0 citations

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