Artyom Gadetsky

I am 2nd year PhD student at MLBio lab, EPFL in Lausanne, supervised by Maria Brbic. Currently, I am working on unsupervised transfer and representation learning. Previously, I was a researcher at CS HSE and BayesGroup supervised by Dmitry Vetrov, 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 real-life problems.

Email / CV / Google Scholar / Github / Twitter / LinkedIn

Research

	The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning Artyom Gadetsky, Maria Brbic spotlight on NeurIPS 2023 project page / arxiv / code / bibtex / NeurIPS slides / poster Simple model-agnostic framework for inferring human labeling of a given dataset without any external supervision.
	Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces Kirill Struminsky, Artyom Gadetsky, Denis Rakitin, Danil Karpushkin, Dmitry Vetrov poster* on NeurIPS 2021 arxiv / code / bibtex / NeurIPS slides / poster Tractable discrete distributions and stochastic optimization w.r.t. discrete distributions over structured objects (i.e. graphs, permutations, top-k).
	Low-variance Black-box Gradient Estimates for the Plackett-Luce 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.

This guy makes a nice webpage.