Publications

Preprints

Neil K. Chada, Andrew M. Stuart, Xin T. Tong; Tikhonov Regularization Within Ensemble Kalman Inversion.
[Preprint

Yiling Qiao, Chang Shi, Chenjian Wang, Hao Li, Matt Haberland, Xiyang Luo, Andrew M. Stuart, Andrea L. Bertozzi; Uncertainty Quantification for Semi-supervised Multi-class Classification in Image Processing and Ego-Motion Analysis of Body-Worn Videos.
[Preprint

David J. Albers, Paul-Adrien Blancquart, Matthew E. Levine, Elnaz Esmaeilzadeh Seylabi, Andrew Stuart; Ensemble Kalman Methods With Constraints
[Preprint]

N.B.Kovachi and A.M.Stuart; Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks (Submitted)
[Preprint]

M.M.Dunlop, D.Slepcev, A.M.Stuart, M.Thorpe; Large Data and Zero Noise Limits of Graph-Based Semi-Supervised Learning Algorithms (Submitted).
[Preprint]

V.Chen, M.M.Dunlop, O.Papaspiliopoulos, A.M.Stuart; Robust MCMC Sampling with Non-Gaussian and Hierarchical Priors in High Dimensions (Submitted).
[Preprint]

M.E.Levine, G.Hripcsak, L.Mamykina, A.Stuart, D.J.Albers; Offline and Online Data Assimilation for Real-time Blood Glucose Forecasting in Type 2 Diabetes (Submitted).
[Preprint]

M.M.Dunlop, C.M.Elliott, V.H.Hoang, A.M.Stuart; Reconciling Bayesian and Total Variation Methods for Binary Inversion (Submitted)
[Preprint]

H.C.Lie, A.M.Stuart, T.J.Sullivan; Strong convergence rates of probabilistic integrators for ordinary differential equations (Submitted)
[Preprint]

D. Kelly and A.M. Stuart; Ergodicity and Accuracy of Optimal Particle Filters for Bayesian Data Assimilation (Submitted)
[Preprint]

M. Ottobre, A.M. Stuart and J. Kuntz; Diffusion limit for the random walk Metropolis algorithm out of stationarity (Annales de l'Institut Henri Poincare B, to appear)
[Preprint]