12 citations · 26 across the 6 of their papers we have counts for
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cs.AI2016★ 5 cited
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
Yexiang Xue, Zhiyuan Li, Stefano Ermon +2
Arising from many applications at the intersection of decision making and machine learning, Marginal Maximum A Posteriori (Marginal MAP) Problems unify the two main classes of infe…
cs.AI2012★ 3 cited
Playing games against nature: optimal policies for renewable resource allocation
Stefano Ermon, Jon Conrad, Carla P. Gomes +1
In this paper we introduce a class of Markov decision processes that arise as a natural model for many renewable resource allocation problems. Upon extending results from the inven…