3 papers
cs.LG2022
Guided Semi-Supervised Non-negative Matrix Factorization on Legal Documents
Pengyu Li, Christine Tseng, Yaxuan Zheng +4
Classification and topic modeling are popular techniques in machine learning that extract information from large-scale datasets. By incorporating a priori information such as label…
math.OC2021
Paving the Way for Consensus: Convergence of Block Gossip Algorithms
Jamie Haddock, Benjamin Jarman, Chen Yap
Gossip protocols are popular methods for average consensus problems in distributed computing. We prove new convergence guarantees for a variety of such protocols, including path, c…
math.NA2021
QuantileRK: Solving Large-Scale Linear Systems with Corrupted, Noisy Data
Benjamin Jarman, Deanna Needell
Measurement data in linear systems arising from real-world applications often suffers from both large, sparse corruptions, and widespread small-scale noise. This can render many po…