Konstantin V. Vorontsov

Orcid: 0000-0002-4244-4270

According to our database1, Konstantin V. Vorontsov authored at least 26 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Improving the Quality of Machine Translation Using the Reverse Model.
Autom. Remote. Control., December, 2022

Optimizing Modality Weights in Topic Models of Transactional Data.
Autom. Remote. Control., December, 2022

Foreword of the Program Committee of the Conference "Mathematical Pattern Recognition Methods".
Autom. Remote. Control., 2022

Multiobjective Evaluation of Reinforcement Learning Based Recommender Systems.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021
TopicBank: Collection of coherent topics using multiple model training with their further use for topic model validation.
Data Knowl. Eng., 2021

Opening Remarks by the Program Committee of the Conference "Intelligent Data Processing. Theory and Applications" (IDP-2020).
Autom. Remote. Control., 2021

Sharpness Estimation of Combinatorial Generalization Ability Bounds for Threshold Decision Rules.
Autom. Remote. Control., 2021

2020
Hierarchical Interpretable Topical Embeddings for Exploratory Search and Real-Time Document Tracking.
Int. J. Embed. Real Time Commun. Syst., 2020

TopicNet: Making Additive Regularisation for Topic Modelling Accessible.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Learning Topic Models with Arbitrary Loss.
Proceedings of the 26th Conference of Open Innovations Association, 2020

Topic Balancing with Additive Regularization of Topic Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019
Lexical Quantile-Based Text Complexity Measure.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Regularized Multimodal Hierarchical Topic Model for Document-by-Document Exploratory Search.
Proceedings of the 25th Conference of Open Innovations Association, 2019

2017
Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks.
CoRR, 2017

Fast and modular regularized topic modelling.
Proceedings of the 21st Conference of Open Innovations Association, 2017

2016
Mining Ethnic Content Online with Additively Regularized Topic Models.
Computación y Sistemas, 2016

Additive Regularization for Topic Modeling in Sociological Studies of User-Generated Texts.
Proceedings of the Advances in Computational Intelligence, 2016

2015
Additive regularization of topic models.
Mach. Learn., 2015

Additive Regularization of Topic Models for Topic Selection and Sparse Factorization.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Non-Bayesian Additive Regularization for Multimodal Topic Modeling of Large Collections.
Proceedings of the 2015 Workshop on Topic Models: Post-Processing and Applications, 2015

BigARTM: Open Source Library for Regularized Multimodal Topic Modeling of Large Collections.
Proceedings of the Analysis of Images, Social Networks and Texts, 2015

2014
Tutorial on Probabilistic Topic Modeling: Additive Regularization for Stochastic Matrix Factorization.
Proceedings of the Analysis of Images, Social Networks and Texts, 2014

2013
Robust PLSA Performs Better Than LDA.
Proceedings of the Advances in Information Retrieval, 2013

2011
Tight Combinatorial Generalization Bounds for Threshold Conjunction Rules.
Proceedings of the Pattern Recognition and Machine Intelligence, 2011

Learning to Rank with Nonlinear Monotonic Ensemble.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

2007
Cooperative Coevolutionary Ensemble Learning.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007


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