Talks and presentations

Preconditioning without a Preconditioner

GPU parallelizable sketch-and-precondition

Preconditioning without a preconditioner using randomized block KSMs

Near-optimal hierarchical matrix approximation from matrix-vector products

Near-optimal hierarchical matrix approximation from matrix-vector products

Near-optimal hierarchical matrix approximation from matrix-vector products

Near-optimal hierarchical matrix approximation from matrix-vector products

Is the Lanczos-Method for Matrix Functions Nearly Optimal?

Krylov Subspace Methods and Matrix Functions: new directions in design, analysis, and applications

Randomized Numerical Linear Algebra and Iterative Methods

An introduction to (Randomized) Numerical Linear Algebra

Peering into the black box: Krylov-aware stochastic trace estimation

Lanczos-based typicality methods for Quantum Thermodynamics

Krylov subspace methods for matrix function trace approximation

Krylov-aware low-rank approximation

Randomized trace estimation

Randomized matrix-free quadrature

Stochastic trace estimation and quantum typicality: a case study in interdisciplinary research

Randomized matrix-free qudrature

GMRES, pseudospectra, and Crouzeix's conjecture for shifted and scaled Ginbre matrices

Simple Algorithms for Spectral Sum and Spectrum Approximation

Analysis of stochastic Lanczos quadrature for spectrum approximation

Concentration in the Lanczos Algorithm

Analysis of stochastic Lanczos quadrature for spectrum approximation

Analyzing the Effects of Local Roundoff Error on Predict-and-Recompute Conjugate Gradient Variants

Predict-and-recompute conjugate gradient variants

Predict-and-recompute conjugate gradient variants

Symmetric Preconditioner Refinement Using Low Rank Approximations