14 citations · 14 across the 1 of their papers we have counts for
3 papers
Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization
Jelena Diakonikolas, Constantinos Daskalakis, Michael I. Jordan
The use of min-max optimization in adversarial training of deep neural network classifiers and training of generative adversarial networks has motivated the study of nonconvex-nonc…
Generalized Momentum-Based Methods: A Hamiltonian Perspective
Jelena Diakonikolas, Michael I. Jordan
We take a Hamiltonian-based perspective to generalize Nesterov's accelerated gradient descent and Polyak's heavy ball method to a broad class of momentum methods in the setting of…
Langevin Monte Carlo without smoothness
Niladri S. Chatterji, Jelena Diakonikolas, Michael I. Jordan +1
Langevin Monte Carlo (LMC) is an iterative algorithm used to generate samples from a distribution that is known only up to a normalizing constant. The nonasymptotic dependence of i…