Talks back to homepage

If you happen to look at my presentation slides or papers and see some typos or have questions, feel free to email me. I am very interested to know about them.:)

Quick links:

Invited research talks:

September 2018
Constructive regularization of the random matrix norm
Structural Inference in High-Dimensional Models worksop, HSE, Moscow, Russia
Abstract and Slides
August 2018
Constructive regularization of the random matrix norm
SUMIFRAS workshop, TAMU University, College Station, TX
Abstract and Handwritten notes
June 2017
Non-asymptotic spectral properties of heavy-tailed random matrices
Two talks, Universite-Paris-Est Marne-la-Vallee and Universit Paris Diderot, Paris, France
May 2017
Norms of heavy-tailed random matrices: local and global problems
University of Alberta, Edmonton, Canada
March 2017
Regularization of the random matrix norm: local and global obstructions
Center for Data Science, NYU, New York
Abstract and Slides
June 2016
Regularization of the norm of matrices with i.i.d. heavy-tailed entries
CMS Summer Sectional Meeting University of Alberta, Edmonton, Canada
Abstract and Slides
March 2016
Coverings of random ellipsoids, and invertibility of matrices with i.i.d. heavy-tailed entries
AMS Spring Southeastern Sectional Meeting University of Georgia, Athens, GA
Abstract and Slides

Expository Machine Learning talks at Berkeley Lab:

In July and August 2017 I led an introductory learning seminar in Machine Learning at Berkeley Lab.
The majority of the material that we covered was based on the slides and literature for this Stanford class.
Some additional materials I prepared for the convenience of presentation:
Unsupervised learning techniques: beyond clustering and PCA
Slides
Regularizations in linear regression: ridge, lasso, bridge, elastic net etc
Handwritten notes

Favorite expository talks at University of Michigan:

January 2017
Structured Random Matrices tutorial (on Ramon van Handel's survey)
Analysis/Probability learning seminar
Abstracts: Part 1 and Part 2
September 2016
Matrix regularizing effects of Gaussian perturbations (on Aizenman, Peled, Schenker, Shamis and Sodin's paper)
Analysis/Probability learning seminar
Abstract
October 2015
Geometric random walks (short exposition of Santosh Vempala survey)
Student Analysis seminar
Abstract
October 2015
Refined epsilon-nets and invertibility of random square matrices with i.i.d. heavy-tailed entries (on our paper with K.Tikhomirov paper)
Analysis/Probability learning seminar
Abstract
March 2015
The smallest singular value of random rectangular matrices with no moment assumptions on entries (on Konstantin Tikhomirov's paper)
Analysis/Probability learning seminar
Abstract
March 2015
Small ball probabilities and an introduction to the Littlewood-Offord problem
Student Analysis seminar
Abstract
November 2014
Cube slicings in R^n
Student Analysis
Abstract

Geometric analysis reading seminar (U of Michigan):

During 2014 and 2015, I gave several of talks on Geometric analysis reading seminar (topics included: contact points and John's theorem; Milman's quotient of subspace theorem and Bourgain-Milman inequality; Paouris’ deviation inequality, Banach-Mazur distance to the cube estimates)