| CatBoost: unbiased boosting with categorical features L Prokhorenkova, G Gusev, A Vorobev, AV Dorogush, A Gulin Advances in neural information processing systems 31, 2018 | 1845 | 2018 |
| Prediction of retweet cascade size over time A Kupavskii, L Ostroumova, A Umnov, S Usachev, P Serdyukov, G Gusev, ... Proceedings of the 21st ACM international conference on Information and …, 2012 | 216 | 2012 |
| Generalized preferential attachment: tunable power-law degree distribution and clustering coefficient L Ostroumova, A Ryabchenko, E Samosvat Algorithms and Models for the Web Graph: 10th International Workshop, WAW …, 2013 | 57 | 2013 |
| Shifts: A dataset of real distributional shift across multiple large-scale tasks A Malinin, N Band, G Chesnokov, Y Gal, MJF Gales, A Noskov, ... arXiv preprint arXiv:2107.07455, 2021 | 56 | 2021 |
| Uncertainty in gradient boosting via ensembles A Malinin, L Prokhorenkova, A Ustimenko arXiv preprint arXiv:2006.10562, 2020 | 44 | 2020 |
| CatBoost: Unbiased boosting with categorical features. arXiv 2017 L Prokhorenkova, G Gusev, A Vorobev, AV Dorogush, A Gulin arXiv preprint arXiv:1706.09516, 2017 | 39 | 2017 |
| Modularity of Complex Networks Models. LO Prokhorenkova, P Pralat, AM Raigorodskii WAW, 115-126, 2016 | 36 | 2016 |
| Graph-based nearest neighbor search: From practice to theory L Prokhorenkova, A Shekhovtsov International Conference on Machine Learning, 7803-7813, 2020 | 32 | 2020 |
| Community detection through likelihood optimization: in search of a sound model L Prokhorenkova, A Tikhonov The World Wide Web Conference, 1498-1508, 2019 | 32 | 2019 |
| Global clustering coefficient in scale-free networks L Ostroumova Prokhorenkova, E Samosvat Algorithms and Models for the Web Graph: 11th International Workshop, WAW …, 2014 | 31 | 2014 |
| Quick detection of high-degree entities in large directed networks K Avrachenkov, N Litvak, LO Prokhorenkova, E Suyargulova 2014 IEEE International Conference on Data Mining, 20-29, 2014 | 29 | 2014 |
| Local clustering coefficient in generalized preferential attachment models A Krot, L Ostroumova Prokhorenkova Algorithms and Models for the Web Graph: 12th International Workshop, WAW …, 2015 | 27 | 2015 |
| Boost then convolve: Gradient boosting meets graph neural networks S Ivanov, L Prokhorenkova arXiv preprint arXiv:2101.08543, 2021 | 25 | 2021 |
| Modularity in several random graph models LO Prokhorenkova, P Prałat, A Raigorodskii Electronic Notes in Discrete Mathematics 61, 947-953, 2017 | 24 | 2017 |
| CatBoost: unbiased boosting with categorical features L Ostroumova, G Gusev, A Vorobev, AV Dorogush, A Gulin arXiv preprint arXiv:1706.09516, 2018 | 20 | 2018 |
| PageRank in undirected random graphs K Avrachenkov, A Kadavankandy, L Ostroumova Prokhorenkova, ... Algorithms and Models for the Web Graph: 12th International Workshop, WAW …, 2015 | 17 | 2015 |
| Empirical validation of the Buckley-Osthus model for the web host graph: degree and edge distributions M Zhukovskiy, D Vinogradov, Y Pritykin, L Ostroumova, E Grechnikov, ... Proceedings of the 21st ACM international conference on Information and …, 2012 | 16 | 2012 |
| Learning clusters through information diffusion L Prokhorenkova, A Tikhonov, N Litvak The World Wide Web Conference, 3151-3157, 2019 | 15 | 2019 |
| Sglb: Stochastic gradient langevin boosting A Ustimenko, L Prokhorenkova International Conference on Machine Learning, 10487-10496, 2021 | 14 | 2021 |
| General results on preferential attachment and clustering coefficient L Ostroumova Prokhorenkova Optimization Letters 11, 279-298, 2017 | 14 | 2017 |
