3 papers
cs.LG2021
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
Kirill Struminsky, Artyom Gadetsky, Denis Rakitin +2
Structured latent variables allow incorporating meaningful prior knowledge into deep learning models. However, learning with such variables remains challenging because of their dis…
cs.LG2019
Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
Artyom Gadetsky, Kirill Struminsky, Christopher Robinson +2
Learning models with discrete latent variables using stochastic gradient descent remains a challenge due to the high variance of gradient estimates. Modern variance reduction techn…
cs.CL2018
Conditional Generators of Words Definitions
Artyom Gadetsky, Ilya Yakubovskiy, Dmitry Vetrov
We explore recently introduced definition modeling technique that provided the tool for evaluation of different distributed vector representations of words through modeling diction…