9 citations · 11 across the 7 of their papers we have counts for
7 papers
Stochastic Iterative Methods for Online Rank Aggregation from Pairwise Comparisons
Benjamin Jarman, Lara Kassab, Deanna Needell +1
In this paper, we consider large-scale ranking problems where one is given a set of (possibly non-redundant) pairwise comparisons and the underlying ranking explained by those comp…
Online Signal Recovery via Heavy Ball Kaczmarz
Benjamin Jarman, Yotam Yaniv, Deanna Needell
Recovering a signal from a sequence of linear measurements is an important problem in areas such as computerized tomography and compressed sensing. In thi…
On Block Accelerations of Quantile Randomized Kaczmarz for Corrupted Systems of Linear Equations
Lu Cheng, Benjamin Jarman, Deanna Needell +1
With the growth of large data as well as large-scale learning tasks, the need for efficient and robust linear system solvers is greater than ever. The randomized Kaczmarz method (R…
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…
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…
Randomized Extended Kaczmarz is a Limit Point of Sketch-and-Project
Benjamin Jarman, Nathan Mankovich, Jacob D. Moorman
The sketch-and-project (SAP) framework for solving systems of linear equations has unified the theory behind popular projective iterative methods such as randomized Kaczmarz, rando…
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…