| Controlling overestimation bias with truncated mixture of continuous distributional quantile critics A Kuznetsov, P Shvechikov, A Grishin, D Vetrov International Conference on Machine Learning, 5556-5566, 2020 | 153 | 2020 |
| Improving stability in deep reinforcement learning with weight averaging E Nikishin, P Izmailov, B Athiwaratkun, D Podoprikhin, T Garipov, ... Uncertainty in artificial intelligence workshop on uncertainty in Deep learning, 2018 | 45 | 2018 |
| Metropolis-hastings view on variational inference and adversarial training K Neklyudov, E Egorov, P Shvechikov, D Vetrov arXiv preprint arXiv:1810.07151, 2018 | 18 | 2018 |
| YASENN: Explaining neural networks via partitioning activation sequences Y Zharov, D Korzhenkov, P Shvechikov, A Tuzhilin arXiv preprint arXiv:1811.02783, 2018 | 5 | 2018 |
| Gaussian Processes for Individualized Continuous Treatment Rule Estimation P Shvechikov, E Riabenko arXiv preprint arXiv:1707.08405, 2017 | | 2017 |
| Joint Belief Tracking and Reward Optimization through Approximate Inference P Shvechikov, A Grishin, A Kuznetsov, A Fritzler, D Vetrov | | |
