136 citations · 246 across the 25 of their papers we have counts for
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cs.LG2021★ 1 cited
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions
Roy Dong, Heling Zhang, Lillian J. Ratliff
As data-driven methods are deployed in real-world settings, the processes that generate the observed data will often react to the decisions of the learner. For example, a data sour…
cs.LG2021★ 1 cited
On the Sample Complexity of Causal Discovery and the Value of Domain Expertise
Samir Wadhwa, Roy Dong
Causal discovery methods seek to identify causal relations between random variables from purely observational data, as opposed to actively collected experimental data where an expe…
cs.LG2020
Expert Selection in High-Dimensional Markov Decision Processes
Vicenc Rubies-Royo, Eric Mazumdar, Roy Dong +2
In this work we present a multi-armed bandit framework for online expert selection in Markov decision processes and demonstrate its use in high-dimensional settings. Our method tak…