University of Washington（华盛顿大学）

Low-Regret and Low-Complexity Learning for Hierarchical Inference

低后悔和低复杂度学习用于分层推断

Sameep Chattopadhyay, Vinay Sutar, Jaya Prakash Champati, Sharayu Moharir

机构 * 1 Paul G. Allen School of Computer Science \& Engineering, University of Washington, 2 Department of Electrical Engineering, IIT Bombay, 3 Department of Computer Science, University of Victoria Email 纠错

AI总结 本文提出HI-LCB和HI-LCB-lite策略，通过低复杂度学习实现分层推断中的低后悔和高效资源利用。