Juan Kuntz

12 papers A* 1A 1Journal 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities.
J. Mach. Learn. Res.
Rocco Caprio, Juan Kuntz, Samuel Power, Adam M. Johansen
2025 J jnl
Training Latent Diffusion Models with Interacting Particle Algorithms.
CoRR
Tim Y. J. Wang, Juan Kuntz, O. Deniz Akyildiz
2024 J jnl
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities.
CoRR
Rocco Caprio, Juan Kuntz, Samuel Power, Adam M. Johansen
2024 A* conf
Momentum Particle Maximum Likelihood.
ICML
Jen Ning Lim, Juan Kuntz, Samuel Power, Adam M. Johansen
2023 J jnl
Momentum Particle Maximum Likelihood.
CoRR
Jen Ning Lim, Juan Kuntz, Samuel Power, Adam M. Johansen
2023 A conf
Particle algorithms for maximum likelihood training of latent variable models.
AISTATS
Juan Kuntz, Jen Ning Lim, Adam M. Johansen
2022 J jnl
Product-form estimators: exploiting independence to scale up Monte Carlo.
Stat. Comput.
Juan Kuntz, Francesca R. Crucinio, Adam M. Johansen
2022 J jnl
Scalable particle-based alternatives to EM.
CoRR
Juan Kuntz, Adam M. Johansen
2021 J jnl
Approximations of Countably Infinite Linear Programs over Bounded Measure Spaces.
SIAM J. Optim.
Juan Kuntz, Philipp Thomas, Guy-Bart Stan, Mauricio Barahona
2021 J jnl
Stationary Distributions of Continuous-Time Markov Chains: A Review of Theory and Truncation-Based Approximations.
SIAM Rev.
Juan Kuntz, Philipp Thomas, Guy-Bart Stan, Mauricio Barahona
2019 J jnl
The Exit Time Finite State Projection Scheme: Bounding Exit Distributions and Occupation Measures of Continuous-Time Markov Chains.
SIAM J. Sci. Comput.
Juan Kuntz, Philipp Thomas, Guy-Bart Stan, Mauricio Barahona
2016 J jnl
Bounding Stationary Averages of Polynomial Diffusions via Semidefinite Programming.
SIAM J. Sci. Comput.
Juan Kuntz, Michela Ottobre, Guy-Bart Stan, Mauricio Barahona