Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability. - Belinda Tzen; Tengyuan Liang; Maxim Raginsky (COLT, 2018)

Theoretical guarantees for sampling and inference in generative models with latent diffusions. - Belinda Tzen; Maxim Raginsky (COLT, 2019)

Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit. - Belinda Tzen; Maxim Raginsky (CoRR, 2019)

A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics. - Belinda Tzen; Maxim Raginsky (CoRR, 2020)

Variational Principles for Mirror Descent and Mirror Langevin Dynamics. - Belinda Tzen; Anant Raj; Maxim Raginsky; Francis R. Bach (IEEE Control. Syst. Lett., 2023)