Co-occurring keywords · papers mentioning both
Papers
Accelerating Imitation Learning with Predictive Models
AISTATS 2019
An adaptive Mirror-Prox method for variational inequalities with singular operators
NeurIPS 2019
A Universal Algorithm for Variational Inequalities Adaptive to Smoothness and Noise
COLT 2019
A Variational Inequality Perspective on Generative Adversarial Networks
ICLR 2019
Hamiltonian descent for composite objectives
NeurIPS 2019
On the convergence of single-call stochastic extra-gradient methods
NeurIPS 2019
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
ICLR 2019
Stochastic Variance Reduction Methods for Saddle-Point Problems
NeurIPS 2016
Safe Screening with Variational Inequalities and Its Application to Lasso
ICML 2014
Scaling SVM and Least Absolute Deviations via Exact Data Reduction
ICML 2014
Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints
JMLR 2012
Convex Repeated Games and Fenchel Duality
NeurIPS 2006