Velocity formulae between entropy and hitting time for Markov chains. - Michael C. H. Choi (CoRR, 2018)

Entropy flow and De Bruijn's identity for a class of stochastic differential equations driven by fractional Brownian motion. - Michael C. H. Choi; Chihoon Lee; Jian Song (CoRR, 2019)

Analysis of non-reversible Markov chains via similarity orbits. - Michael C. H. Choi; Pierre Patie (Comb. Probab. Comput., 2020)

Landscape Modification Meets Surrogate Optimization: Towards Developing an Improved Stochastic Response Surface Method. - Michael C. H. Choi; Venkatkrishna Karumanchi (WSC, 2022)

Improved Langevin Monte Carlo for stochastic optimization via landscape modification. - Michael C. H. Choi; Youjia Wang (CoRR, 2023)

Systematic approaches to generate reversiblizations of non-reversible Markov chains. - Michael C. H. Choi; Geoffrey Wolfer (CoRR, 2023)

Markov chain entropy games and the geometry of their Nash equilibria. - Michael C. H. Choi; Geoffrey Wolfer (CoRR, 2023)

Information divergences of Markov chains and their applications. - Youjia Wang; Michael C. H. Choi (CoRR, 2023)

A rate-distortion framework for MCMC algorithms: geometry and factorization of multivariate Markov chains. - Michael C. H. Choi; Youjia Wang; Geoffrey Wolfer (CoRR, 2024)

Information-theoretic classification of the cutoff phenomenon in Markov processes. - Youjia Wang; Michael C. H. Choi (CoRR, 2024)

Systematic Approaches to Generate Reversiblizations of Markov Chains. - Michael C. H. Choi; Geoffrey Wolfer (IEEE Trans. Inf. Theory, 2024)

Improving the Convergence of Markov Chains via Permutations and Projections. - Michael C. H. Choi; Max Hird; Youjia Wang (Random Struct. Algorithms, 2025)

Information-theoretic subset selection of multivariate Markov chains via submodular optimization. - Zheyuan Lai; Michael C. H. Choi (CoRR, 2025)