Department of Electrical and Computer Engineering, University of Minnesota, Twin Cities, Minneapolis, MN 55455
Yuping Zheng, Andrew Lamperski
Langevin algorithms;L-mixing processes;Gradient descent methods;Non-convex optimization;Non-asymptotic analysis;Markov Chain Monte Carlo sampling
Constrained Langevin Algorithms with L-mixing External Random Variables