Juan Kuntz

According to our database, Juan Kuntz authored at least 9 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Momentum Particle Maximum Likelihood.

Jen Ning Lim, Juan Kuntz, Samuel Power, Adam M. Johansen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Particle algorithms for maximum likelihood training of latent variable models.

Juan Kuntz, Jen Ning Lim, Adam M. Johansen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Product-form estimators: exploiting independence to scale up Monte Carlo.

Juan Kuntz, Francesca R. Crucinio, Adam M. Johansen

Stat. Comput., 2022

Scalable particle-based alternatives to EM.

Juan Kuntz, Adam M. Johansen

CoRR, 2022

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

Approximations of Countably Infinite Linear Programs over Bounded Measure Spaces.

Juan Kuntz, Philipp Thomas, Guy-Bart Stan, Mauricio Barahona

SIAM J. Optim., 2021

2019

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

2016

Bounding Stationary Averages of Polynomial Diffusions via Semidefinite Programming.

Juan Kuntz, Michela Ottobre, Guy-Bart Stan, Mauricio Barahona

SIAM J. Sci. Comput., 2016