12 citations · 19 across the 6 of their papers we have counts for
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cs.LG2023
Towards A Scalable Solution for Improving Multi-Group Fairness in Compositional Classification
James Atwood, Tina Tian, Ben Packer +5
Despite the rich literature on machine learning fairness, relatively little attention has been paid to remediating complex systems, where the final prediction is the combination of…
cs.LG2012★ 12 cited
Modeling Latent Variable Uncertainty for Loss-based Learning
M. Pawan Kumar, Ben Packer, Daphne Koller
We consider the problem of parameter estimation using weakly supervised datasets, where a training sample consists of the input and a partially specified annotation, which we refer…
cs.LG2012★ 5 cited
Convex Point Estimation using Undirected Bayesian Transfer Hierarchies
Gal Elidan, Ben Packer, Geremy Heitz +1
When related learning tasks are naturally arranged in a hierarchy, an appealing approach for coping with scarcity of instances is that of transfer learning using a hierarchical Bay…