1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2024
AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learning
Daniel Coquelin, Katherina Flügel, Marie Weiel +5
Communication bottlenecks severely hinder the scalability of distributed neural network training, particularly in high-performance computing (HPC) environments. We introduce AB-tra…
cs.LG2023★ 1 cited
A dynamic risk score for early prediction of cardiogenic shock using machine learning
Yuxuan Hu, Albert Lui, Mark Goldstein +18
Myocardial infarction and heart failure are major cardiovascular diseases that affect millions of people in the US. The morbidity and mortality are highest among patients who devel…
math.ST2016★ 1 cited
Incentive-Compatible Elicitation of Quantiles
Nicholas M. Kiefer
Incorporation of expert information in inference or decision settings is often important, especially in cases where data are unavailable, costly or unreliable. One approach is to e…