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stat.CO2019★ 8 cited
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting
Maxime Vono, Daniel Paulin, Arnaud Doucet
Performing exact Bayesian inference for complex models is computationally intractable. Markov chain Monte Carlo (MCMC) algorithms can provide reliable approximations of the posteri…
math.OC2019
Dual Space Preconditioning for Gradient Descent
Chris J. Maddison, Daniel Paulin, Yee Whye Teh +1
The conditions of relative smoothness and relative strong convexity were recently introduced for the analysis of Bregman gradient methods for convex optimization. We introduce a ge…