We consider monotone variational inequality (VI) problems in multi-GPU
s...
We propose an adaptive variance-reduction method, called AdaSpider, for
...
This work proposes a universal and adaptive second-order method for
mini...
We examine the problem of regret minimization when the learner is involv...
We consider the traffic assignment problem in nonatomic routing games wh...
We propose a new family of adaptive first-order methods for a class of c...
In game-theoretic learning, several agents are simultaneously following ...
We present a new family of min-max optimization algorithms that automati...