Han Cheng Lie

According to our database, Han Cheng Lie authored at least 16 papers between 2013 and 2026.

Collaborative distances:

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

2026

Goal-oriented learning of stochastic dynamical systems using error bounds on path-space observables.

Joanna Zou, Han Cheng Lie, Youssef Marzouk

CoRR, March, 2026

Posterior error bounds for prior-driven balancing in linear Gaussian inverse problems.

Josie König, Han Cheng Lie

CoRR, January, 2026

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

Data subsampling for Poisson regression with pth-root-link.

Han Cheng Lie, Alexander Munteanu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2021

A Convergent Discretization Method for Transition Path Theory for Diffusion Processes.

Nada Cvetkovic, Tim Conrad, Han Cheng Lie

Multiscale Model. Simul., 2021

Dimension-independent Markov chain Monte Carlo on the sphere.

Han Cheng Lie, Daniel Rudolf, Björn Sprungk, 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

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

Fréchet derivatives of expected functionals of solutions to stochastic differential equations.

Han Cheng Lie

CoRR, 2021

Randomised one-step time integration methods for deterministic operator differential equations.

Han Cheng Lie, Martin Stahn, Timothy John Sullivan

CoRR, 2021

2019

Strong convergence rates of probabilistic integrators for ordinary differential equations.

Han Cheng Lie, Andrew M. Stuart, Timothy John Sullivan

Stat. Comput., 2019

Convergent discretisation schemes for transition path theory for diffusion processes.

Nada Cvetkovic, Tim O. F. Conrad, Han Cheng Lie

CoRR, 2019

Error Bounds for Some Approximate Posterior Measures in Bayesian Inference.

Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup

Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

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

Implicit Probabilistic Integrators for ODEs.

Onur Teymur, Han Cheng Lie, Tim Sullivan, Ben Calderhead

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2013

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