Search Results for author: Kent Quanrud

Found 2 papers, 0 papers with code

Adversarial Delays in Online Strongly-Convex Optimization

no code implementations20 May 2016 Daniel Khashabi, Kent Quanrud, Amirhossein Taghvaei

We consider the problem of strongly-convex online optimization in presence of adversarial delays; in a T-iteration online game, the feedback of the player's query at time t is arbitrarily delayed by an adversary for d_t rounds and delivered before the game ends, at iteration t+d_t-1.

Online Learning with Adversarial Delays

no code implementations NeurIPS 2015 Kent Quanrud, Daniel Khashabi

We study the performance of standard online learning algorithms when the feedback is delayed by an adversary.

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