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cs.LG2021
Cascading Bandit under Differential Privacy
Kun Wang, Jing Dong, Baoxiang Wang +2
This paper studies \emph{differential privacy (DP)} and \emph{local differential privacy (LDP)} in cascading bandits. Under DP, we propose an algorithm which guarantees -indisti…
cs.LG2021
Combinatorial Bandits under Strategic Manipulations
Jing Dong, Ke Li, Shuai Li +1
Strategic behavior against sequential learning methods, such as "click framing" in real recommendation systems, have been widely observed. Motivated by such behavior we study the p…