Despite recent theoretical progress on the non-convex optimization of
tw...
In this note, we give a new lower bound for the γ-regret in bandit
probl...
What role do augmentations play in contrastive learning? Recent work sug...
A major challenge in modern machine learning is theoretically understand...
In this work, we study asynchronous finite sum minimization in a
distrib...
In distributed optimization problems, a technique called gradient coding...