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stat.CO2023★ 1 cited
Metropolis-adjusted interacting particle sampling
Björn Sprungk, Simon Weissmann, Jakob Zech
In recent years, various interacting particle samplers have been developed to sample from complex target distributions, such as those found in Bayesian inverse problems. These samp…
math.OC2023★ 1 cited
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods
Sara Klein, Simon Weissmann, Leif Döring
Markov Decision Processes (MDPs) are a formal framework for modeling and solving sequential decision-making problems. In finite-time horizons such problems are relevant for instanc…