27 citations · 113 across the 17 of their papers we have counts for
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cs.LG2019★ 4 cited
-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank
Kefan Dong, Jian Peng, Yining Wang +1
In this paper, we consider the problem of online learning of Markov decision processes (MDPs) with very large state spaces. Under the assumptions of realizable function approximati…
stat.ML2019★ 8 cited
Tight Regret Bounds for Infinite-armed Linear Contextual Bandits
Yingkai Li, Yining Wang, Xi Chen +1
Linear contextual bandit is an important class of sequential decision making problems with a wide range of applications to recommender systems, online advertising, healthcare, and…
math.ST2019★ 4 cited
On Asymptotically Tight Tail Bounds for Sums of Geometric and Exponential Random Variables
Yaonan Jin, Yingkai Li, Yining Wang +1
In this note we prove bounds on the upper and lower probability tails of sums of independent geometric or exponentially distributed random variables. We also prove negative results…