Showing 1–20 of 42 results
/ Date/ Name
Aug 28, 2019Analysis of a localised nonlinear Ensemble Kalman Bucy Filter with complete and accurate observationsOct 12, 2022Sampling in Constrained Domains with Orthogonal-Space Variational Gradient DescentJun 3, 2024Wasserstein gradient flow for optimal probability measure decompositionJun 19, 2024Temporal label recovery from noisy dynamical dataJun 22, 2023Uniform error bound for PCA matrix denoisingSep 15, 2024Local MALA-within-Gibbs for Bayesian image deblurring with total variation priorJun 23, 2019Accelerating Metropolis-within-Gibbs sampler with localized computations of differential equationsJan 17, 2019Spatial localization for nonlinear dynamical stochastic models for excitable mediaMay 15, 2018Simple Nonlinear Models with Rigorous Extreme Events and Heavy TailsOct 21, 2017Localization for MCMC: sampling high-dimensional posterior distributions with local structureSep 17, 2017Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large DimensionsMay 7, 2025Localized Diffusion ModelsApr 30, 2019On Stationary-Point Hitting Time and Ergodicity of Stochastic Gradient Langevin DynamicsJun 29, 2020Spectral Gap of Replica Exchange Langevin Diffusion on Mixture DistributionsOct 18, 2021Adaptive Tikhonov strategies for stochastic ensemble Kalman inversionJul 6, 2020Consistency analysis of bilevel data-driven learning in inverse problemsMar 25, 2020Dimension Independent Generalization Error by Stochastic Gradient DescentJan 23, 2020Replica Exchange for Non-Convex OptimizationJun 30, 2016Performance of Ensemble Kalman filters in large dimensionsJun 29, 2016Rigorous accuracy and robustness analysis for two-scale reduced random Kalman filters in high dimensions