Bounding Stationary Averages of Polynomial Diffusions via Semidefinite Programming. - Juan Kuntz; Michela Ottobre; Guy-Bart Stan; Mauricio Barahona (SIAM J. Sci. Comput., 2016)

The Exit Time Finite State Projection Scheme: Bounding Exit Distributions and Occupation Measures of Continuous-Time Markov Chains. - Juan Kuntz; Philipp Thomas; Guy-Bart Stan; Mauricio Barahona (SIAM J. Sci. Comput., 2019)

Approximations of Countably Infinite Linear Programs over Bounded Measure Spaces. - Juan Kuntz; Philipp Thomas; Guy-Bart Stan; Mauricio Barahona (SIAM J. Optim., 2021)

Stationary Distributions of Continuous-Time Markov Chains: A Review of Theory and Truncation-Based Approximations. - Juan Kuntz; Philipp Thomas; Guy-Bart Stan; Mauricio Barahona (SIAM Rev., 2021)

Scalable particle-based alternatives to EM. - Juan Kuntz; Adam M. Johansen (CoRR, 2022)

Product-form estimators: exploiting independence to scale up Monte Carlo. - Juan Kuntz; Francesca R. Crucinio; Adam M. Johansen (Stat. Comput., 2022)

Particle algorithms for maximum likelihood training of latent variable models. - Juan Kuntz; Jen Ning Lim; Adam M. Johansen (AISTATS, 2023)

Momentum Particle Maximum Likelihood. - Jen Ning Lim; Juan Kuntz; Samuel Power; Adam M. Johansen (ICML, 2024)

Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities. - Rocco Caprio; Juan Kuntz; Samuel Power; Adam M. Johansen (CoRR, 2024)

Training Latent Diffusion Models with Interacting Particle Algorithms. - Tim Y. J. Wang; Juan Kuntz; O. Deniz Akyildiz (CoRR, 2025)