542 citations · 1.1k across the 46 of their papers we have counts for
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cs.LG2013★ 10 cited
On Measure Concentration of Random Maximum A-Posteriori Perturbations
Francesco Orabona, Tamir Hazan, Anand D. Sarwate +1
The maximum a-posteriori (MAP) perturbation framework has emerged as a useful approach for inference and learning in high dimensional complex models. By maximizing a randomly pertu…
cs.LG2013★ 3 cited
Auditing: Active Learning with Outcome-Dependent Query Costs
Sivan Sabato, Anand D. Sarwate, Nathan Srebro
We propose a learning setting in which unlabeled data is free, and the cost of a label depends on its value, which is not known in advance. We study binary classification in an ext…