253 citations · 533 across the 17 of their papers we have counts for
3 papers · 1 filter
FLAML: A Fast and Lightweight AutoML Library
Chi Wang, Qingyun Wu, Markus Weimer +1
We study the problem of using low computational cost to automate the choices of learners and hyperparameters for an ad-hoc training dataset and error metric, by conducting trials o…
Factorization Bandits for Online Influence Maximization
Qingyun Wu, Zhige Li, Huazheng Wang +2
We study the problem of online influence maximization in social networks. In this problem, a learner aims to identify the set of "best influencers" in a network by interacting with…
Variance Reduction in Gradient Exploration for Online Learning to Rank
Huazheng Wang, Sonwoo Kim, Eric McCord-Snook +2
Online Learning to Rank (OL2R) algorithms learn from implicit user feedback on the fly. The key of such algorithms is an unbiased estimation of gradients, which is often (trivially…