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MatFast: In Memory Distributed Matrix Computation Processing and Optimization - Yanbo Liang
Sparse and large-scale learning with heterogeneous data
Large Matrices beyond Singular Value Decomposition, by Andrea Montanari Phd. Stanford 03 22, 2010
lecture 26: Large-scale optimization (guest).
Valeria Simoncini: Computational methods for large-scale matrix equations and application to PDEs
Overparameterization and Global Optimality in Nonconvex Low-Rank Matrix Estimation and Optimization
Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments
Efficient Computation of Sparse Matrix Functions for Large-Scale Electronic ...
Stephen Wright: Nonconvex optimization in matrix optimization and distributionally robust optim...
Yimin Wei / Super-Large Sparse Matrix Computations in Web Information Retrieval
Lecture 26 Large-scale Algorithms and Systems
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Last Updated: August 20, 2026
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