6 citations · 12 across the 9 of their papers we have counts for
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cs.LG2020★ 6 cited
Policy Gradient Optimization of Thompson Sampling Policies
Seungki Min, Ciamac C. Moallemi, Daniel J. Russo
We study the use of policy gradient algorithms to optimize over a class of generalized Thompson sampling policies. Our central insight is to view the posterior parameter sampled by…
cs.GT2020
The Competition for Partners in Matching Markets
Yash Kanoria, Seungki Min, Pengyu Qian
We study the competition for partners in two-sided matching markets with heterogeneous agent preferences, with a focus on how the equilibrium outcomes depend on the connectivity in…