Talks and presentations

Upcoming Travel

Past talks

[24]
Near-optimal hierarchical matrix approximation from matrix-vector products

2024
.
Presentationat Mid-Atlantic Numerical Analysis Day 2024
[pdf]
[23]
Near-optimal hierarchical matrix approximation from matrix-vector products

2024
.
Presentation at NYU Theory Seminar 2024
[pdf]
[22]
Near-optimal hierarchical matrix approximation from matrix-vector products

2024
.
Presentation at Precond 2024
[pdf]
[21]
Is the Lanczos-Method for Matrix Functions Nearly Optimal?

2024
.
Presentation at SIAM Linear Algebra 2024
[pdf]
[20]
Krylov Subspace Methods and Matrix Functions: new directions in design, analysis, and applications

2024
.
Presentation at Georgia Tech
[pdf]
[19]
Randomized Numerical Linear Algebra and Iterative Methods

2023
.
Presentation at NYU Math Modeling workshop
[18]
An introduction to (Randomized) Numerical Linear Algebra

2023
.
Presentation at NYU Math Society meeting
[17]
Peering into the black box: Krylov-aware stochastic trace estimation

2023
.
Presentation at SIAM New York, New Jersey, and Pennsylvania Annual Meeting
[pdf]
[16]
Lanczos-based typicality methods for Quantum Thermodynamics

2023
.
Presentation at Universität Bielefeld
[pdf]
[15]
Krylov subspace methods for matrix function trace approximation

2023
.
Presentation at NYU Shanghai
[pdf]
[14]
Krylov-aware low-rank approximation

2023
.
Presentation at International Congress on Industrial and Applied Mathematics
[pdf]
[13]
Randomized trace estimation

2023
.
Presentation at Sampling Theory and Applications Conference
[pdf]
[12]
Randomized matrix-free quadrature

2023
.
Presentation at Foundations of Computational Mathematics
[pdf]
[11]
Stochastic trace estimation and quantum typicality: a case study in interdisciplinary research

2023
.
Presentation at Perspectives on Matrix Computations: Theoretical Computer Science Meets Numerical Analysis
[pdf]
[10]
Randomized matrix-free qudrature

2022
.
Presentation at Courant Numerical Analysis and Scientific Computing Seminar
[pdf]
[9]
GMRES, pseudospectra, and Crouzeix's conjecture for shifted and scaled Ginbre matrices

2022
.
Presentation at Conference on Random Matrix Theory and Numerical Linear Algebra
[pdf]
[8]
Simple Algorithms for Spectral Sum and Spectrum Approximation

2021
.
Poster at Workshop on Algorithms for Large Data (Online)
[pdf]
[7]
Analysis of stochastic Lanczos quadrature for spectrum approximation

2021
.
Oral at International Conference on Machine Learning
[video]
[6]
Concentration in the Lanczos Algorithm

2021
.
Presentation at SIAM Linear Algebra 21
[pdf]
[5]
Analysis of stochastic Lanczos quadrature for spectrum approximation

2021
.
Presentation at at Baidu Research
[pdf]
[4]
Analyzing the Effects of Local Roundoff Error on Predict-and-Recompute Conjugate Gradient Variants

2020
.
Poster at Householder Symposium (Cancelled)
[3]
Predict-and-recompute conjugate gradient variants

2020
.
Presentation at Copper Mountain Student Paper Award Session (Cancelled)
[2]
Predict-and-recompute conjugate gradient variants

2020
.
Presentation at SIAM Parallel Processing
[pdf]
[1]
Symmetric Preconditioner Refinement Using Low Rank Approximations

2019
.
Presentation at Baidu Research

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