Scheduling Distributed Clusters of Parallel Machines: Primal-Dual and LP-based Approximation Algorithms [Full Version]. - Riley Murray; Samir Khuller; Megan Chao (CoRR, 2016)

Structured Feedback Optimization for Metzler Dynamics. - James Anderson; Riley Murray (CDC, 2018)

Scheduling Distributed Clusters of Parallel Machines : Primal-Dual and LP-based Approximation Algorithms. - Riley Murray; Samir Khuller; Megan Chao (Algorithmica, 2018)

Robust Market Equilibria with Uncertain Preferences. - Riley Murray; Christian Kroer; Alex Peysakhovich; Parikshit Shah (AAAI, 2020)

Newton Polytopes and Relative Entropy Optimization. - Riley Murray; Venkat Chandrasekaran; Adam Wierman (Found. Comput. Math., 2021)

Signomial and polynomial optimization via relative entropy and partial dualization. - Riley Murray; Venkat Chandrasekaran; Adam Wierman (Math. Program. Comput., 2021)

Publisher Correction to: Signomial and polynomial optimization via relative entropy and partial dualization. - Riley Murray; Venkat Chandrasekaran; Adam Wierman (Math. Program. Comput., 2021)

Sampling-Based Decomposition Algorithms for Arbitrary Tensor Networks. - Osman Asif Malik; Vivek Bharadwaj; Riley Murray (CoRR, 2022)

Algebraic Perspectives on Signomial Optimization. - Mareike Dressler; Riley Murray (SIAM J. Appl. Algebra Geom., 2022)

Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition. - Vivek Bharadwaj; Osman Asif Malik; Riley Murray; Laura Grigori; Aydin Buluç; James Demmel (NeurIPS, 2023)

Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software. - Riley Murray; James Demmel; Michael W. Mahoney; N. Benjamin Erichson; Maksim Melnichenko; Osman Asif Malik; Laura Grigori; Piotr Luszczek; Michal Derezinski; Miles E. Lopes; Tianyu Liang; Hengrui Luo; et al. (CoRR, 2023)

Fast multiplication of random dense matrices with fixed sparse matrices. - Tianyu Liang; Riley Murray; Aydin Buluç; James Demmel (CoRR, 2023)

Sublinear circuits and the constrained signomial nonnegativity problem. - Riley Murray; Helen Naumann; Thorsten Theobald (Math. Program., 2023)

Fast multiplication of random dense matrices with sparse matrices. - Tianyu Liang; Riley Murray; Aydin Buluç; James Demmel (IPDPS, 2024)

Distributed-Memory Randomized Algorithms for Sparse Tensor CP Decomposition. - Vivek Bharadwaj; Osman Asif Malik; Riley Murray; Aydin Buluç; James Demmel (SPAA, 2024)

Interface for Sparse Linear Algebra Operations. - Ahmad Abdelfattah; Willow Ahrens; Hartwig Anzt; Chris Armstrong; Ben Brock; Aydin Buluç; Federico Busato; Terry Cojean; Timothy A. Davis 001; Jim Demmel; Grace Dinh; David Gardener; et al. (CoRR, 2024)

Surrogate-Based Autotuning for Randomized Sketching Algorithms in Regression Problems. - Younghyun Cho; James Demmel; Michal Derezinski; Haoyun Li; Hengrui Luo; Michael W. Mahoney; Riley Murray (SIAM J. Matrix Anal. Appl., 2025)

CholeskyQR with Randomization and Pivoting for Tall Matrices (CQRRPT). - Maksim Melnichenko; Oleg Balabanov; Riley Murray; James Demmel; Michael W. Mahoney; Piotr Luszczek (SIAM J. Matrix Anal. Appl., 2025)

Anatomy of High-Performance Column-Pivoted QR Decomposition. - Maksim Melnichenko; Riley Murray; William Killian; James Demmel; Michael W. Mahoney; Piotr Luszczek; Mark Gates (CoRR, 2025)