Han Cheng Lie - RankMe

19 papers A* 2Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Goal-oriented learning of stochastic dynamical systems using error bounds on path-space observables. CoRR Joanna Zou, Han Cheng Lie, Youssef Marzouk
2026	J	`jnl`	Posterior error bounds for prior-driven balancing in linear Gaussian inverse problems. CoRR Josie König, Han Cheng Lie
2024	J	`jnl`	Choosing Observation Operators to Mitigate Model Error in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Nada Cvetkovic, Han Cheng Lie, Harshit Bansal, Karen Veroy
2024	A*	`conf`	Data subsampling for Poisson regression with pth-root-link. NeurIPS Han Cheng Lie, Alexander Munteanu
2024	J	`jnl`	Data subsampling for Poisson regression with pth-root-link. CoRR Han Cheng Lie, Alexander Munteanu
2021	J	`jnl`	A Convergent Discretization Method for Transition Path Theory for Diffusion Processes. Multiscale Model. Simul. Nada Cvetkovic, Tim Conrad, Han Cheng Lie
2021	J	`jnl`	Dimension-independent Markov chain Monte Carlo on the sphere. CoRR Han Cheng Lie, Daniel Rudolf, Björn Sprungk, Timothy John Sullivan
2021	J	`jnl`	Fréchet derivatives of expected functionals of solutions to stochastic differential equations. CoRR Han Cheng Lie
2021	J	`jnl`	Randomised one-step time integration methods for deterministic operator differential equations. CoRR Han Cheng Lie, Martin Stahn, Timothy John Sullivan
2021	J	`jnl`	Γ-convergence of Onsager-Machlup functionals. Part I: With applications to maximum a posteriori estimation in Bayesian inverse problems. CoRR Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan
2021	J	`jnl`	Γ-convergence of Onsager-Machlup functionals. Part II: Infinite product measures on Banach spaces. CoRR Birzhan Ayanbayev, Ilja Klebanov, Han Cheng Lie, Timothy John Sullivan
2019	J	`jnl`	Convergent discretisation schemes for transition path theory for diffusion processes. CoRR Nada Cvetkovic, Tim O. F. Conrad, Han Cheng Lie
2019	—	`conf`	Error Bounds for Some Approximate Posterior Measures in Bayesian Inference. ENUMATH Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup
2019	J	`jnl`	Error bounds for some approximate posterior measures in Bayesian inference. CoRR Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup
2019	J	`jnl`	Strong convergence rates of probabilistic integrators for ordinary differential equations. Stat. Comput. Han Cheng Lie, Andrew M. Stuart, Timothy John Sullivan
2018	A*	`conf`	Implicit Probabilistic Integrators for ODEs. NeurIPS Onur Teymur, Han Cheng Lie, Tim Sullivan, Ben Calderhead
2018	J	`jnl`	Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup
2017	J	`jnl`	Random forward models and log-likelihoods in Bayesian inverse problems. CoRR Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup
2013	J	`jnl`	A Square Root Approximation of Transition Rates for a Markov State Model. SIAM J. Matrix Anal. Appl. Han Cheng Lie, Konstantin Fackeldey, Marcus Weber