Schedule

Shuttles provided by SpringHill Suites MTWThF 8:00, 8:30 am; MTTh 4:45, 5:15pm; W 6:30, 7pm. Pickup place: Annie and John Glenn Ave, in front of Dulles Hall (the building just south of the mathematics tower)

All talks are in Scott Laboratory E004 (basement); Coffee breaks are in 724, Mathematics Tower

Abstracts

Day 1

Monday, May 22

8:30 - 9:00

Checking in, E004 Scott Lab

9:00 - 10:15

Title: A new approach to nonasymptotic random matrix theory

Ramon van Handel (Princeton University)

Coffee break 10:15 - 10:45

10:45 - 12:00

Title: Random Laplacian Matrices

Kyle Luh (University of Colorado Boulder)

Lunch break 12:00 - 1:30

1:30 - 2:30

Title: A new approach to nonasymptotic random matrix theory

Ramon van Handel

Coffee break 2:30 - 3:00

3:00 - 4:00

Title: Gaussian Elimination with Partial Pivoting in randomized setting

Konstantin Tikhomirov (Carnegie Mellon University)

4:10 - 4:35

Short talk by

Tatiana Brailovskaya (Princeton University)

Title: Optimal bounds on the largest eigenvalue of inhomogeneous random matrices

Day 2

Tuesday, May 23

9:00 - 10:15

Title: A new approach to nonasymptotic random matrix theory

Ramon van Handel

Coffee break 10:15 - 10:45

10:45 - 12:00

Title: Gaussian Elimination with Partial Pivoting in randomized setting

Konstantin Tikhomirov

Lunch break 12:00 - 1:30

1:30 - 2:30

Title: A new approach to nonasymptotic random matrix theory

Ramon van Handel

Coffee break 2:30 - 3:00

3:00 - 4:00

Title: Random Laplacian Matrices

Kyle Luh

4:10 - 4:35

Short talk by

Ping Zhong (University of Wyoming)

Title: Upgrading free convolution to non-normal free random variables

Day 3

Wednesday, May 24

9:00 - 10:15

Title: Random Matrices, the Stochastic Block Model, and Community Detection in Networks

Ioana Dumitriu (University of California Sandiego)

Coffee break 10:15 - 10:45

10:45 - 12:00

Title: Random Matrix Theory for the Eigenvalue Problem (Part I)

Jorge Garza Vargas (California Institute of Technology)

Lunch break 12:00 - 1:30

1:30 - 2:30

Title: Random Matrix Theory for the Eigenvalue Problem (Part I)

Jorge Garza Vargas

Coffee break/Group Photo 2:30 - 3:00

3:00 - 3:25

short talk by

Elizabeth Collins-Woodfin (McGill University)

Title: Edge CLT for log determinant of Laguerre beta ensembles

3:30 - 3:55

short talk by

Xiaoyu Dong (University of Michigan)

Title: TBA

4:00 - 4:25

Short talk by

Xiaoyu Xie (Brown University)

Title: Quenched Large Deviation Principles for Random Projections

4:30 - 4:55

short talk by

Pax Kivimae (New York University)

Title: Gaussian Multiplicative Chaos for Gaussian Orthogonal and Symplectic Ensembles

5:15 - 6:30

Social dinner (Mathematics Tower 724)

Day 4

Thursday, May 25

9:00 - 10:15

Title: Random Matrix Theory for the Eigenvalue Problem (Part II)

Nikhil Srivastava

Coffee break 10:15 - 10:45

10:45 - 12:00

Title: Exact Recovery in the non-uniform Hypergraph Stochastic Block Model

Ioana Dumitriu

Lunch break 12:00 - 1:30

1:30 - 2:30

Title: On randomized iterative sketching

Liza Rebrova

Coffee break 2:30 - 3:00

3:00 - 4:00

Title: Random Matrix Theory for the Eigenvalue Problem (Part II)

Nikhil Srivastava

4:10 - 4:35

short talk by

Hongchang Ji

Title: Condition number and Wegner estimate for eigenvalues of non-centered, non-Hermitian random matrices

Day 5

Friday, May 26

9:00 - 10:15

Title: On randomized iterative sketching

Liza Rebrova

Coffee break 10:15 - 10:45

10:45 - 12:00

Title: Random Matrix Theory for the Eigenvalue Problem (Part II)

Nikhil Srivastava

Lunch break 12:00 - 1:30

1:30 - 1:55

Short talk by
Zhichao Wang (University of California San Diego)

Title: High-Dimensional Asymptotic Analysis of the Early Phase of Neural Network Training

2:00 - 2:25

Short talk by

Lamrani Lamia (Universite Paris-Saclay)

Title: Frobenius error of Validation and Cross-validation Filtering of Large Covariance Matrices

2:35 - 3:00

Short talk by

Youyi Huang (Texas Tech University)

Title: Entropy fluctuation formulas of fermionic Gaussian states

3:05 - 3:30

short talk by

Ratul Biswas (University of Minnesota)

Title: Limiting eigenvalue distribution of heavy-tailed Toeplitz matrices

3:30 - 4:00

Coffee available in MW 724

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Schedule

Monday, May 22

Title: A new approach to nonasymptotic random matrix theory

Title: Random Laplacian Matrices

Title: A new approach to nonasymptotic random matrix theory

Title: Gaussian Elimination with Partial Pivoting in randomized setting

Tuesday, May 23

Title: A new approach to nonasymptotic random matrix theory

Title: Gaussian Elimination with Partial Pivoting in randomized setting

Title: A new approach to nonasymptotic random matrix theory

Title: Random Laplacian Matrices

Ping Zhong (University of Wyoming)

Wednesday, May 24

Title: Random Matrices, the Stochastic Block Model, and Community Detection in Networks

Title: Random Matrix Theory for the Eigenvalue Problem (Part I)

Title: Random Matrix Theory for the Eigenvalue Problem (Part I)

short talk by

Elizabeth Collins-Woodfin (McGill University)

short talk by

Xiaoyu Dong (University of Michigan)

Short talk by

Xiaoyu Xie (Brown University)

short talk by

Pax Kivimae (New York University)

Social dinner (Mathematics Tower 724)

Thursday, May 25

Title: Random Matrix Theory for the Eigenvalue Problem (Part II)

Title: Exact Recovery in the non-uniform Hypergraph Stochastic Block Model

Title: On randomized iterative sketching

Title: Random Matrix Theory for the Eigenvalue Problem (Part II)

Hongchang Ji

Friday, May 26

Title: On randomized iterative sketching

Title: Random Matrix Theory for the Eigenvalue Problem (Part II)

Short talk by Zhichao Wang (University of California San Diego)

Title: High-Dimensional Asymptotic Analysis of the Early Phase of Neural Network Training

Short talk by

Lamrani Lamia (Universite Paris-Saclay)

Title: Frobenius error of Validation and Cross-validation Filtering of Large Covariance Matrices

Short talk by

Youyi Huang (Texas Tech University)

short talk by

Ratul Biswas (University of Minnesota)

Title: Limiting eigenvalue distribution of heavy-tailed Toeplitz matrices

Coffee available in MW 724

Short talk by
Zhichao Wang (University of California San Diego)