Harvard AM205 video 2.8 - Gram–Schmidt orthogonalization
Harvard AM205 video 2.6 - Timing algorithms
Harvard AM205 video 2.7 - QR decomposition
Harvard AM205 video 2.11 - Singular value decomposition
Harvard AM205 video 2.12 - Low-rank approximation
Harvard AM205 video 2.4 - LU factorization
Implicit Regularization of Random Feature Models - ICML 2020
How to implement the Lanczos Iteration ?
Introduction to the Kaczmarz Method
Broyden bruncic
Harvard AM205 video 3.18 - CFL condition & upwinding
Robust Structured Low-Rank Matrix Approximation in GPR
Resonances as a Computational Tool - Katharina Schratz
Himmelblau/RMSprop
On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank
Surprises in High-Dimensional (Overparameterized) Linear Classification
Applied Linear Algebra: QR & Projectors
CUR Factorization via Discrete Empirical Interpolation by Mark Embree
Applied Linear Algebra: QR Decomposition
Nelly Pustelnik (ENS Lyon) - Fast unrolled proximal algorithms and neural network architectures
