Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Welcome to KAUST

less than 1 minute read

Published:

My wife and I are finally at KAUST. We have to stay in quarantine until January 10.

portfolio

publications

talks

Averaged Heavy Ball Method

Published:

It is proposed a new approach to the classic Heavy ball method called the Averaged Heavy ball method for unconstrained optimization. This method reduces the peak effect, thereby providing a better convergence rate in the initial iterations. Best poster Award.

Averaged Heavy Ball Method

Published:

It is proposed a new approach to the classic Heavy ball method called the Averaged Heavy ball method for unconstrained optimization. This method reduces the peak effect, thereby providing a better convergence rate in the initial iterations. It is provided analysis for the quadratic case and conduct numerical experiments justifying the theory for a wider class of problems. Best talk Award.

Determination of data complexity using a universal approximating model

Published:

The properties of the training dataset in classification and regression problems are investigated. We propose a method for determining the complexity of the training data using a two-layer fully connected neural network. The number of neurons in the inner layer of the neural network is used to determine the complexity. Book of abstracts (page 68).

teaching

Physics Tutor

Tutoring, Physics Olympiads and Tests, 2019

Preparation of 7-11th grade students for the Olympiads and tests, 2017-2019

Machine Learning

Undergraduate course, Teaching Assistance, MIPT, Spring term, 2019

This course aims to introduce students to modern state of Machine Learning and Artificial Intelligence. It is designed to take one year (two terms at MIPT) - approximately 2 * 15 lectures and seminars.

Optimization Methods

Undergraduate course, Teaching Assistance, MIPT, Fall term, 2019

Theory: Convex Sets and Functions, Optimality Conditions, Foundations of duality theory
Practice: Optimization Problem Statement, Methods for solving problems without restrictions, Methods for solving problems with simple constraints Linear programming, Cone Optimization Problems and SDP