Aretha L. Teckentrup

28 papers A 1Misc 1Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Lengthscale-informed sparse grids for kernel methods in high dimensions. CoRR Elliot J. Addy, Jonas Latz, Aretha L. Teckentrup
2025	J	`jnl`	STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes. CoRR Simon Urbainczyk, Aretha L. Teckentrup, Jonas Latz
2024	J	`jnl`	Deep Gaussian Process Priors for Bayesian Image Reconstruction. CoRR Jonas Latz, Aretha L. Teckentrup, Simon Urbainczyk
2024	J	`jnl`	Gaussian processes for Bayesian inverse problems associated with linear partial differential equations. Stat. Comput. Tianming Bai, Aretha L. Teckentrup, Konstantinos C. Zygalakis
2024	J	`jnl`	Probabilistic Richardson Extrapolation. CoRR Chris J. Oates, Toni Karvonen, Aretha L. Teckentrup, Marina Strocchi, Steven A. Niederer
2023	J	`jnl`	Gaussian processes for Bayesian inverse problems associated with linear partial differential equations. CoRR Tianming Bai, Aretha L. Teckentrup, Konstantinos C. Zygalakis
2023	J	`jnl`	Introduction To Gaussian Process Regression In Bayesian Inverse Problems, With New ResultsOn Experimental Design For Weighted Error Measures. CoRR Tapio Helin, Andrew M. Stuart, Aretha L. Teckentrup, Konstantinos Zygalakis
2023	J	`jnl`	Smoothed Circulant Embedding with Applications to Multilevel Monte Carlo Methods for PDEs with Random Coefficients. CoRR Anastasia Istratuca, Aretha L. Teckentrup
2022	J	`jnl`	Adaptive Multilevel Monte Carlo for Probabilities. SIAM J. Numer. Anal. Abdul-Lateef Haji-Ali, Jonathan Spence, Aretha L. Teckentrup
2021	J	`jnl`	Adaptive Multilevel Monte Carlo for Probabilities. CoRR Abdul-Lateef Haji-Ali, Jonathan Spence, Aretha L. Teckentrup
2020	A	`conf`	A Locally Adaptive Bayesian Cubature Method. AISTATS Matthew Fisher, Chris J. Oates, Catherine E. Powell, Aretha L. Teckentrup
2020	J	`jnl`	Convergence of Gaussian Process Regression with Estimated Hyper-Parameters and Applications in Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Aretha L. Teckentrup
2019	J	`jnl`	Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems. CoRR Aretha L. Teckentrup
2019	J	`jnl`	ERRATUM: A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow. SIAM/ASA J. Uncertain. Quantification Tim J. Dodwell, Christian Ketelsen, Robert Scheichl, Aretha L. Teckentrup
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`	Multilevel Markov Chain Monte Carlo. SIAM Rev. Tim J. Dodwell, Christian Ketelsen, Robert Scheichl, Aretha L. Teckentrup
2018	J	`jnl`	How Deep Are Deep Gaussian Processes? J. Mach. Learn. Res. Matthew M. Dunlop, Mark A. Girolami, Andrew M. Stuart, Aretha L. Teckentrup
2018	J	`jnl`	Posterior consistency for Gaussian process approximations of Bayesian posterior distributions. Math. Comput. Andrew M. Stuart, Aretha L. Teckentrup
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`	Quasi-Monte Carlo and Multilevel Monte Carlo Methods for Computing Posterior Expectations in Elliptic Inverse Problems. SIAM/ASA J. Uncertain. Quantification Robert Scheichl, Andrew M. Stuart, 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
2015	J	`jnl`	A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow. SIAM/ASA J. Uncertain. Quantification Tim J. Dodwell, Christian Ketelsen, Robert Scheichl, Aretha L. Teckentrup
2015	J	`jnl`	A Multilevel Stochastic Collocation Method for Partial Differential Equations with Random Input Data. SIAM/ASA J. Uncertain. Quantification Aretha L. Teckentrup, Peter Jantsch, Clayton G. Webster, Max D. Gunzburger
2013	J	`jnl`	Finite Element Error Analysis of Elliptic PDEs with Random Coefficients and Its Application to Multilevel Monte Carlo Methods. SIAM J. Numer. Anal. Julia Charrier, Robert Scheichl, Aretha L. Teckentrup
2013	J	`jnl`	Further analysis of multilevel Monte Carlo methods for elliptic PDEs with random coefficients. Numerische Mathematik Aretha L. Teckentrup, Robert Scheichl, Michael B. Giles, Elisabeth Ullmann
2012	Misc	`conf`	Multilevel Monte Carlo methods for highly heterogeneous media. WSC Aretha L. Teckentrup
2011	J	`jnl`	Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients. Comput. Vis. Sci. K. Andrew Cliffe, Mike B. Giles, Robert Scheichl, Aretha L. Teckentrup