12 citations · 31 across the 8 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.LG2016★ 12 cited
Estimating Uncertainty Online Against an Adversary
Volodymyr Kuleshov, Stefano Ermon
Assessing uncertainty is an important step towards ensuring the safety and reliability of machine learning systems. Existing uncertainty estimation techniques may fail when their m…