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cs.LG2026
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…
cs.LG2026
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…
cs.LG2026★ 5 cited
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…