1.2k citations · 3.1k across the 36 of their papers we have counts for
3 papers · 1 filter
Bregman dynamics, contact transformations and convex optimization
Alessandro Bravetti, Maria L. Daza-Torres, Hugo Flores-Arguedas +1
Recent research on accelerated gradient methods of use in optimization has demonstrated that these methods can be derived as discretizations of dynamical systems. This, in turn, ha…
Incomplete Reparameterizations and Equivalent Metrics
Michael Betancourt
Reparameterizing a probabilisitic system is common advice for improving the performance of a statistical algorithm like Markov chain Monte Carlo, even though in theory such reparam…
Toward a principled Bayesian workflow in cognitive science
Daniel J. Schad, Michael Betancourt, Shravan Vasishth
Experiments in research on memory, language, and in other areas of cognitive science are increasingly being analyzed using Bayesian methods. This has been facilitated by the develo…