112 citations · 241 across the 8 of their papers we have counts for
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cs.LG2022
Bayesian regularization of empirical MDPs
Samarth Gupta, Daniel N. Hill, Lexing Ying +1
In most applications of model-based Markov decision processes, the parameters for the unknown underlying model are often estimated from the empirical data. Due to noise, the policy…
cs.IR2022★ 2 cited
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion
Adam Block, Rahul Kidambi, Daniel N. Hill +2
Conventional methods for query autocompletion aim to predict which completed query a user will select from a list. A shortcoming of this approach is that users often do not know wh…