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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
About Me
About me
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Publications
Publications
Posts
Variational Inference 101
Published:
Say you want to estimate a distribution of a latent vector $Z$ based on observations $X$. You can do that with variational inference!
Multi-armed Bandits
Published:
Conspectus of Sutton & Barto “Reinforcement Learning: An Introduction”
Introduction to Reinforcment Learning
Published:
Conspectus of Sutton & Barto “Reinforcement Learning: An Introduction”
Introduction to Reinforcment Learning: Markov Process
Published:
One of the core concepts of basic reinforcement learning are a Markov Process and a Markov Reward Process.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching Assistant in Calculus & Linear Algebra
Undergraduate course, Higher School of Economics, 2016
Gave weekly tutorials to three international students who successfully passed their Calculus and Linear Algebra exams.
Teaching Assistant in Macroeconomics
Undergraduate course, Higher School of Economics, 2018
Gave weekly tutorials on macroeconomic models to groups of 60-70 students.
Data Structures & Algorithms
Graduate course, Imperial College London, 2024
Provided tutorials and lab support to the MSc Business Analytics students.
Reinforcement Learning
Graduate course, Imperial College London, 2024
Provided lab support to and marked coursework of the students at the Department of Computing.