53 citations · 65 across the 4 of their papers we have counts for
4 papers
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics
Arsenii Kuznetsov, Pavel Shvechikov, Alexander Grishin +1
The overestimation bias is one of the major impediments to accurate off-policy learning. This paper investigates a novel way to alleviate the overestimation bias in a continuous co…
YASENN: Explaining Neural Networks via Partitioning Activation Sequences
Yaroslav Zharov, Denis Korzhenkov, Pavel Shvechikov +1
We introduce a novel approach to feed-forward neural network interpretation based on partitioning the space of sequences of neuron activations. In line with this approach, we propo…
Metropolis-Hastings view on variational inference and adversarial training
Kirill Neklyudov, Evgenii Egorov, Pavel Shvechikov +1
A significant part of MCMC methods can be considered as the Metropolis-Hastings (MH) algorithm with different proposal distributions. From this point of view, the problem of constr…
Gaussian Processes for Individualized Continuous Treatment Rule Estimation
Pavel Shvechikov, Evgeniy Riabenko
Individualized treatment rule (ITR) recommends treatment on the basis of individual patient characteristics and the previous history of applied treatments and their outcomes. Despi…