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math.ST2019★ 16 cited
Bounding the error of discretized Langevin algorithms for non-strongly log-concave targets
Arnak S. Dalalyan, Avetik Karagulyan, Lionel Riou-Durand
In this paper, we provide non-asymptotic upper bounds on the error of sampling from a target density using three schemes of discretized Langevin diffusions. The first scheme is the…
math.ST2018★ 2 cited
Noise contrastive estimation: asymptotics, comparison with MC-MLE
Lionel Riou-Durand, Nicolas Chopin
A statistical model is said to be un-normalised when its likelihood function involves an intractable normalising constant. Two popular methods for parameter inference for these mod…