Additive regularization of topic models K Vorontsov, A Potapenko Machine Learning 101, 303-323, 2015 | 209 | 2015 |
Bigartm: Open source library for regularized multimodal topic modeling of large collections K Vorontsov, O Frei, M Apishev, P Romov, M Dudarenko Analysis of Images, Social Networks and Texts: 4th International Conference …, 2015 | 150 | 2015 |
Tutorial on probabilistic topic modeling: Additive regularization for stochastic matrix factorization K Vorontsov, A Potapenko Analysis of Images, Social Networks and Texts: Third International …, 2014 | 119 | 2014 |
Additive regularization for topic models of text collections KV Vorontsov Doklady Mathematics 89, 301-304, 2014 | 101 | 2014 |
Аддитивная регуляризация тематических моделей КВ Воронцов, АА Потапенко Доклады Академии наук 456 (3), 268-271, 2014 | 89 | 2014 |
Combinatorial probability and the tightness of generalization bounds KV Vorontsov Pattern Recognition and Image Analysis 18, 243-259, 2008 | 61 | 2008 |
Additive regularization of topic models for topic selection and sparse factorization K Vorontsov, A Potapenko, A Plavin Statistical Learning and Data Sciences: Third International Symposium, SLDS …, 2015 | 58 | 2015 |
Non-bayesian additive regularization for multimodal topic modeling of large collections K Vorontsov, O Frei, M Apishev, P Romov, M Suvorova, A Yanina Proceedings of the 2015 Workshop on Topic Models: Post-Processing and …, 2015 | 53 | 2015 |
Fast and modular regularized topic modelling D Kochedykov, M Apishev, L Golitsyn, K Vorontsov 2017 21st Conference of Open Innovations Association (FRUCT), 182-193, 2017 | 49 | 2017 |
Multi-objective topic modeling for exploratory search in tech news A Ianina, L Golitsyn, K Vorontsov Artificial Intelligence and Natural Language: 6th Conference, AINL 2017, St …, 2018 | 45 | 2018 |
Robust PLSA performs better than LDA A Potapenko, K Vorontsov Advances in Information Retrieval: 35th European Conference on IR Research …, 2013 | 42 | 2013 |
Exact combinatorial bounds on the probability of overfitting for empirical risk minimization KV Vorontsov Pattern Recognition and Image Analysis 20, 269-285, 2010 | 42 | 2010 |
Splitting and similarity phenomena in the sets of classifiers and their effect on the probability of overfitting KV Vorontsov Pattern Recognition and Image Analysis 19, 412-420, 2009 | 42 | 2009 |
Additive regularization for hierarchical multimodal topic modeling NA Chirkova, KV Vorontsov Journal Machine Learning and Data Analysis 2 (2), 187-200, 2016 | 37 | 2016 |
Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks A Potapenko, A Popov, K Vorontsov Artificial Intelligence and Natural Language: 6th Conference, AINL 2017, St …, 2018 | 33 | 2018 |
A combinatorial approach to assessing the quality of training algorithms K Vorontsov Mathematical problems of cybernetics 13, 5-36, 2004 | 33 | 2004 |
Mining ethnic content online with additively regularized topic models M Apishev, S Koltcov, O Koltsova, S Nikolenko, K Vorontsov Computacion y Sistemas 20 (3), 387-403, 2016 | 31 | 2016 |
Tight combinatorial generalization bounds for threshold conjunction rules K Vorontsov, A Ivahnenko International Conference on Pattern Recognition and Machine Intelligence, 66-73, 2011 | 27 | 2011 |
EM-like algorithms for probabilistic topic modeling KV Vorontsov, AA Potapenko Mashin. Obuchenie Analiz Dannykh 1 (6), 657-686, 2013 | 25 | 2013 |
Regularized multimodal hierarchical topic model for document-by-document exploratory search A Ianina, K Vorontsov 2019 25th Conference of Open Innovations Association (FRUCT), 131-138, 2019 | 23 | 2019 |