Artyom Gadetsky
- Junior Research Fellow:Faculty of Computer Science / Big Data and Information Retrieval School / Research Laboratory for Data Analysis in Financial Technologies
- Lecturer, Doctoral Student:Faculty of Computer Science / Big Data and Information Retrieval School
- Artyom Gadetsky has been at HSE University since 2017.
Continuing education / Professional retraining / Internships / Study abroad experience
Microsoft Research AI Summer School, Cambridge, 2018
University of Sussex, Summer 2019
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2020-2021)
Postgraduate Studies
2nd year of study
Approved topic of thesis: Monte Carlo gradient estimation for discrete latent variable models
Academic Supervisor: Vetrov, Dmitry
Courses (2021/2022)
- Optimization in Machine Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
- Past Courses
Courses (2020/2021)
- Introduction to Deep Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 1-3 module)Eng
- Optimization in Machine Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
Courses (2019/2020)
- Continuous Optimization (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus
- Introduction to Deep Learning (Bachelor’s programme; Faculty of Computer Science; 3 year, 3 module)Eng
Courses (2018/2019)
- Continuous Optimization (Bachelor’s programme; Faculty of Computer Science; 3 year, 3 module)Rus
- Modern Machine Learning Methods (Minor; Faculty of Computer Science; 1, 2 module)Rus
Publications3
- Chapter Gadetsky A., Struminsky K., Robinson C., Quadrianto N., Vetrov D. Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution, in: Thirty-Fourth AAAI Conference on Artificial Intelligence Vol. 34. Palo Alto, California USA: AAAI Press, 2020. P. 10126-10135. doi
- Preprint Gadetsky A., Struminsky K., Robinson C., Quadrianto N., Vetrov D. Low-variance Gradient Estimates for the Plackett-Luce Distribution / Bayesian Deep Learning NeurIPS 2019 Workshop. Series 2019 "Bayesian Deep Learning NeurIPS 2019 Workshop". 2019.
- Chapter Gadetsky A., Yakubovskiy I., Vetrov D. Conditional Generators of Words Definitions, in: Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics Vol. 2: Short Papers. Association for Computational Linguistics, 2018. P. 266-271.
Faculty Submits Ten Papers to NeurIPS 2021
35th Conference on Neural Information Processing Systems (NeurIPS 2021) is one of the world's largest conferences on machine learning and neural networks. It takes place on December 6-14, 2021.
Ilya Segalovich Scholarships Awarded on the Fifth Anniversary of HSE’s Faculty of Computer Science
As part of the HSE Faculty of Computer Science fifth anniversary celebration at Mercury Moscow City Tower, Ilya Segalovich Scholarships were awarded.