| Structured bayesian pruning via log-normal multiplicative noise K Neklyudov, D Molchanov, A Ashukha, D Vetrov arXiv preprint arXiv:1705.07283, 2017 | 120 | 2017 |
| Uncertainty estimation via stochastic batch normalization A Atanov, A Ashukha, D Molchanov, K Neklyudov, D Vetrov arXiv preprint arXiv:1802.04893, 2018 | 36 | 2018 |
| Performance of machine learning algorithms in predicting game outcome from drafts in dota 2 A Semenov, P Romov, S Korolev, D Yashkov, K Neklyudov International Conference on Analysis of Images, Social Networks and Texts, 26-37, 2016 | 35 | 2016 |
| Variance networks: When expectation does not meet your expectations K Neklyudov, D Molchanov, A Ashukha, D Vetrov arXiv preprint arXiv:1803.03764, 2018 | 13 | 2018 |
| Involutive mcmc: a unifying framework K Neklyudov, M Welling, E Egorov, D Vetrov International Conference on Machine Learning, 7273-7282, 2020 | 9 | 2020 |
| Metropolis-Hastings view on variational inference and adversarial training K Neklyudov, E Egorov, P Shvechikov, D Vetrov arXiv preprint arXiv:1810.07151, 2018 | 9 | 2018 |
| Applications of Machine Learning in Dota 2: Literature Review and Practical Knowledge Sharing. A Semenov, P Romov, K Neklyudov, D Yashkov, D Kireev MLSA@ PKDD/ECML, 2016 | 7 | 2016 |
| The Implicit Metropolis-Hastings Algorithm K Neklyudov, E Egorov, D Vetrov Advances in Neural Information Processing Systems, 2019, 2019 | 2 | 2019 |
| Orbital MCMC K Neklyudov, M Welling arXiv preprint arXiv:2010.08047, 2020 | 1 | 2020 |
| Maxentropy pursuit variational inference E Egorov, K Neklydov, R Kostoev, E Burnaev International Symposium on Neural Networks, 409-417, 2019 | 1 | 2019 |
Dmitry VetrovHigher School of Economics, Samsung AI Center, MoscowVerified email at hse.ru
