Artyom Gadetsky
I am 2nd year PhD student at CS HSE and Research Scientist at Bayesgroup, supervised by Dmitry Vetrov. Currently I'm working on stochastic optimization w.r.t. discrete distributions over structured objects such as graphs, permutations, etc. Generally speaking I am interested in different applications of probabilistic modelling to solve general machine learning problems as well as reallife problems. Also, I'm a teaching fellow at Continuous Optimization course at CS HSE.
Email /
CV /
Google Scholar /
Github /
Twitter /
LinkedIn



Leveraging Recursive GumbelMax Trick for Approximate Inference in Combinatorial Spaces
Kirill Struminsky*,
Artyom Gadetsky*,
Denis Rakitin*,
Danil Karpushkin,
Dmitry Vetrov
poster on NeurIPS 2021
arxiv /
NeurIPS slides
Tractable discrete distributions and stochastic optimization w.r.t. discrete distributions over structured objects (i.e. graphs, permutations, topk).


Lowvariance Blackbox Gradient Estimates for the PlackettLuce Distribution
Artyom Gadetsky*,
Kirill Struminsky*,
Christopher Robinson,
Novi Quadrianto
Dmitry Vetrov
oral on AAAI 2020
spotlight on BDL NeurIPS 2019 Workshop
arxiv /
code /
bibtex /
AAAI slides /
BDL slides /
poster
Variance reduction techniques for stochastic optimization w.r.t. a distribution over permutations.


Conditional Generators of Words Definitions
Artyom Gadetsky,
Ilya Yakubovskiy,
Dmitry Vetrov
poster on ACL 2018
arxiv /
code /
bibtex /
poster
The generative model for definitions of polysemous words given vector representation of the word and example of its use.

