Showing 1–20 of 29 results
/ Date/ Name
Dec 21, 2023On the ensemble Kalman inversion under inequality constraintsOct 19, 2018Well Posedness and Convergence Analysis of the Ensemble Kalman InversionMay 16, 2025Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying RegularizationNov 27, 2024Derivative-free stochastic bilevel optimization for inverse problemsMay 22, 2024Almost sure convergence rates of stochastic gradient methods under gradient dominationJun 25, 2025Affine invariant interacting Langevin dynamics in Markov chain importance sampling for rare event estimationOct 2, 2025Adaptive Kernel Selection for Stein Variational Gradient DescentFeb 3, 2026The Role of Target Update Frequencies in Q-LearningApr 28, 2022Multilevel Optimization for Inverse ProblemsOct 4, 2023Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient MethodsFeb 2, 2024On the mean-field limit for Stein variational gradient descent: stability and multilevel approximationDec 21, 2023Metropolis-adjusted interacting particle samplingMar 31, 2022Gradient flow structure and convergence analysis of the ensemble Kalman inversion for nonlinear forward modelsOct 18, 2021Adaptive Tikhonov strategies for stochastic ensemble Kalman inversionJul 6, 2020Consistency analysis of bilevel data-driven learning in inverse problemsNov 25, 2019Fokker-Planck particle systems for Bayesian inference: Computational approachesAug 10, 2022Adaptive multilevel subset simulation with selective refinementNov 7, 2024Structure Matters: Dynamic Policy GradientOct 22, 2024Polyak's Heavy Ball Method Achieves Accelerated Local Rate of Convergence under Polyak-Lojasiewicz InequalityFeb 21, 2026A Stochastic Gradient Descent Approach to Design Policy Gradient Methods for LQR