Simon Weissmann

33 papers A* 2Journal 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Stochastic Gradient Descent Approach to Design Policy Gradient Methods for LQR. CoRR Bowen Song, Simon Weissmann, Mathias Staudigl, Andrea Iannelli
2026	J	`jnl`	An Approximate Ascent Approach To Prove Convergence of PPO. CoRR Leif Döring, Daniel Schmidt, Moritz Melcher, Sebastian Kassing, Benedikt Wille, Tilman Aach, Simon Weissmann
2026	J	`jnl`	Derivative-free stochastic bilevel optimization for inverse problems. Comput. Optim. Appl. Mathias Staudigl, Simon Weissmann, Tristan van Leeuwen
2026	J	`jnl`	Ensemble Kalman inversion with non-smooth regularization. CoRR Simon Weissmann
2026	J	`jnl`	The Role of Target Update Frequencies in Q-Learning. CoRR Simon Weissmann, Tilman Aach, Benedikt Wille, Sebastian Kassing, Leif Döring
2025	J	`jnl`	Adaptive Kernel Selection for Stein Variational Gradient Descent. CoRR Moritz Melcher, Simon Weissmann, Ashia C. Wilson, Jakob Zech
2025	J	`jnl`	Almost Sure Convergence of Stochastic Gradient Methods under Gradient Domination. Trans. Mach. Learn. Res. Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring
2025	J	`jnl`	Clustered KL-barycenter design for policy evaluation. CoRR Simon Weissmann, Till Freihaut, Claire Vernade, Giorgia Ramponi, Leif Döring
2025	J	`jnl`	Metropolis-adjusted interacting particle sampling. Stat. Comput. Björn Sprungk, Simon Weissmann, Jakob Zech
2024	J	`jnl`	Adaptive Multilevel Subset Simulation with Selective Refinement. SIAM/ASA J. Uncertain. Quantification Daniel Elfverson, Robert Scheichl, Simon Weissmann, Francisco Alejandro Diaz De la O
2024	J	`jnl`	Almost sure convergence rates of stochastic gradient methods under gradient domination. CoRR Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring
2024	A*	`conf`	Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods. ICLR Sara Klein, Simon Weissmann, Leif Döring
2024	J	`jnl`	On the mean-field limit for Stein variational gradient descent: stability and multilevel approximation. CoRR Simon Weissmann, Jakob Zech
2024	J	`jnl`	One-Shot Learning of Surrogates in PDE-Constrained Optimization under Uncertainty. SIAM/ASA J. Uncertain. Quantification Philipp A. Guth, Claudia Schillings, Simon Weissmann
2024	J	`jnl`	Polyak's Heavy Ball Method Achieves Accelerated Local Rate of Convergence under Polyak-Lojasiewicz Inequality. CoRR Sebastian Kassing, Simon Weissmann
2024	J	`jnl`	Structure Matters: Dynamic Policy Gradient. CoRR Sara Klein, Xiangyuan Zhang, Tamer Basar, Simon Weissmann, Leif Döring
2024	J	`jnl`	The Ensemble Kalman Filter for Dynamic Inverse Problems. CoRR Simon Weissmann, Neil K. Chada, Xin T. Tong
2023	J	`jnl`	Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods. CoRR Sara Klein, Simon Weissmann, Leif Döring
2023	J	`jnl`	Metropolis-adjusted interacting particle sampling. CoRR Björn Sprungk, Simon Weissmann, Jakob Zech
2023	J	`jnl`	On the ensemble Kalman inversion under inequality constraints. CoRR Matei Hanu, Simon Weissmann
2022	J	`jnl`	Adaptive multilevel subset simulation with selective refinement. CoRR Daniel Elfverson, Robert Scheichl, Simon Weissmann, Francisco Alejandro DiazDelaO
2022	J	`jnl`	Continuous Time Limit of the Stochastic Ensemble Kalman Inversion: Strong Convergence Analysis. SIAM J. Numer. Anal. Dirk Blömker, Claudia Schillings, Philipp Wacker, Simon Weissmann
2022	J	`jnl`	Gradient flow structure and convergence analysis of the ensemble Kalman inversion for nonlinear forward models. CoRR Simon Weissmann
2022	A*	`conf`	Multilevel Optimization for Inverse Problems. COLT Simon Weissmann, Ashia Wilson, Jakob Zech
2022	J	`jnl`	Multilevel Optimization for Inverse Problems. CoRR Simon Weissmann, Ashia Wilson, Jakob Zech
2021	J	`jnl`	A General Framework for Machine Learning based Optimization Under Uncertainty. CoRR Philipp A. Guth, Claudia Schillings, Simon Weissmann
2021	J	`jnl`	Adaptive Tikhonov strategies for stochastic ensemble Kalman inversion. CoRR Simon Weissmann, Neil K. Chada, Claudia Schillings, Xin T. Tong
2021	J	`jnl`	Continuous time limit of the stochastic ensemble Kalman inversion: Strong convergence analysis. CoRR Dirk Blömker, Claudia Schillings, Philipp Wacker, Simon Weissmann
2021	J	`jnl`	Fokker-Planck Particle Systems for Bayesian Inference: Computational Approaches. SIAM/ASA J. Uncertain. Quantification Sebastian Reich, Simon Weissmann
2020	J	`jnl`	Consistency analysis of bilevel data-driven learning in inverse problems. CoRR Neil K. Chada, Claudia Schillings, Xin T. Tong, Simon Weissmann
2020	J	`jnl`	Ensemble Kalman filter for neural network based one-shot inversion. CoRR Philipp A. Guth, Claudia Schillings, Simon Weissmann
2019	J	`jnl`	Fokker-Planck particle systems for Bayesian inference: Computational approaches. CoRR Sebastian Reich, Simon Weissmann
2019	J	`jnl`	On the Incorporation of Box-Constraints for Ensemble Kalman Inversion. CoRR Neil K. Chada, Claudia Schillings, Simon Weissmann