A Square Root Approximation of Transition Rates for a Markov State Model. - Han Cheng Lie; Konstantin Fackeldey; Marcus Weber (SIAM J. Matrix Anal. Appl., 2013)

Implicit Probabilistic Integrators for ODEs. - Onur Teymur; Han Cheng Lie; Tim Sullivan 001; Ben Calderhead (NeurIPS, 2018)

Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems. - Han Cheng Lie; Timothy John Sullivan; Aretha L. Teckentrup (SIAM/ASA J. Uncertain. Quantification, 2018)

Error Bounds for Some Approximate Posterior Measures in Bayesian Inference. - Han Cheng Lie; Timothy John Sullivan; Aretha L. Teckentrup (ENUMATH, 2019)

Convergent discretisation schemes for transition path theory for diffusion processes. - Nada Cvetkovic; Tim O. F. Conrad; Han Cheng Lie (CoRR, 2019)

Strong convergence rates of probabilistic integrators for ordinary differential equations. - Han Cheng Lie; Andrew M. Stuart; Timothy John Sullivan (Stat. Comput., 2019)

Randomised one-step time integration methods for deterministic operator differential equations. - Han Cheng Lie; Martin Stahn; Timothy John Sullivan (CoRR, 2021)

Fréchet derivatives of expected functionals of solutions to stochastic differential equations. - Han Cheng Lie (CoRR, 2021)

Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems. - Birzhan Ayanbayev; Ilja Klebanov; Han Cheng Lie; Timothy John Sullivan (CoRR, 2021)

Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces. - Birzhan Ayanbayev; Ilja Klebanov; Han Cheng Lie; Timothy John Sullivan (CoRR, 2021)

Dimension-independent Markov chain Monte Carlo on the sphere. - Han Cheng Lie; Daniel Rudolf; Björn Sprungk; Timothy John Sullivan (CoRR, 2021)

A Convergent Discretization Method for Transition Path Theory for Diffusion Processes. - Nada Cvetkovic; Tim Conrad 001; Han Cheng Lie (Multiscale Model. Simul., 2021)

Data subsampling for Poisson regression with pth-root-link. - Han Cheng Lie; Alexander Munteanu (NeurIPS, 2024)

Choosing Observation Operators to Mitigate Model Error in Bayesian Inverse Problems. - Nada Cvetkovic; Han Cheng Lie; Harshit Bansal; Karen Veroy (SIAM/ASA J. Uncertain. Quantification, 2024)