Optimization

Momentum Particle Maximum Likelihood

Jan 1, 2024

Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities

Jan 1, 2024

Particle algorithms for maximum likelihood training of latent variable models

Jan 1, 2023

Stationary Distributions of Continuous-Time Markov Chains: A Review of Theory and Truncation-Based Approximations

Jan 1, 2021

Approximations of Countably Infinite Linear Programs over Bounded Measure Spaces

Jan 1, 2021

Bounding the stationary distributions of the chemical master equation via mathematical programming

Jul 1, 2019

Deterministic approximation schemes with computable errors for the distributions of Markov chains

Jan 1, 2017

Bounding Stationary Averages of Polynomial Diffusions via Semidefinite Programming

Jan 1, 2016