5 citations · 5 across the 4 of their papers we have counts for
5 papers
The Lagrangian Structure of Cost-Penalized Active Feature Acquisition
Joseph Bingham
Active Feature Acquisition (AFA) sequentially selects features to maximize predictive accuracy under an acquisition budget. A natural heuristic greedily maximizes Expected Informat…
When Concealed Links Cannot Be Recovered: A Structural Identifiability Bound and Evaluation Pitfalls in Offshore Leak Networks
Joseph Bingham
Leaks such as the Panama and Paradise Papers expose large networks of offshore entities, and they invite an obvious question for network learning. Can the relations these structure…
LegoLM: Structured Weight Sharing for Large Language Models
Joseph Bingham
We present \LegoLM{}, a structured weight-sharing compression framework for large language models grounded in a systematic study of why global weight sharing fails and how to fix i…
LegoNet: Memory Footprint Reduction Through Block Weight Clustering
Joseph Bingham, Noah Green, Saman Zonouz
As the need for neural network-based applications to become more accurate and powerful grows, so too does their size and memory footprint. With embedded devices, whose cache and RA…
SOMtime the World Aint Fair: Violating Fairness Using Self-Organizing Maps
Joseph Bingham, Netanel Arussy, Dvir Aran
Unsupervised representations are widely assumed to be neutral with respect to sensitive attributes when those attributes are withheld from training. We show that this assumption is…