Alexander Grishin

Postgraduate Student:Faculty of Computer Science / Big Data and Information Retrieval School

Responsibilities

To conduct research for Samsung-HSE Laboratory

Professional Interests

recurrent neural network bayesian network

Postgraduate Studies

4th year of study
Approved topic of thesis: Optimal control under partial observability through approximate inference
Academic Supervisor: Vetrov, Dmitry

Publications¹

Chapter Кузнецов А. С., Shvechikov P., Grishin A., Vetrov D. Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics, in: International Conference on Machine Learning (ICML 2020) Vol. 119. PMLR, 2020. P. 5556-5566.

Conferences

2018
Conference on Neural Information Processing Systems (Монреаль). Presentation: Joint Belief Tracking and Reward Optimization through Approximate Inference
2016
НАУЧНАЯ КОНФЕРЕНЦИЯ МОЛОДЫХ УЧЕНЫХ ПО МЕДИЦИНСКОЙ БИОЛОГИИ ФГБУ ФНКЦ ФХМ ФМБА (Москва). Presentation: Разработка алгоритма повышения специфичности поиска инделов по данным экзомного секвенирования с платформы ION Proton

Oct

2020

The paper by researhers of the Center earned a bronze award at the largest research competition of Samsung

Dec

2018

The faculty presented the results of their research at the largest international machine learning conference NeurIPS

Researchers of the Faculty of Computer Science presented their papers at the annual conference of Neural Information Processing Systems (NeurIPS), which was held from 2 to 8 December 2018 in Montreal, Canada.