Maria Khodorchenko

According to our database, Maria Khodorchenko authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Efficient Deadline-Constrained Scheduling and Hybrid Parallelism Optimization of Distributed AutoML Pipelines.

Nikolay Butakov, Anton Vakhrushev, Maria Khodorchenko, Anastasiia Zakharova, Alexander Ryzhkov, Olga Plosskaya, Azamat Gainetdinov, Rinchin Damdinov, Dmitriy Alexandrov, Denis A. Nasonov, Maxim Savchenko

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

AutoTM 2.0: Automatic Topic Modeling Framework for Documents Analysis.

Maria Khodorchenko, Nikolay Butakov, Maxim Zuev, Denis A. Nasonov

CoRR, 2024

Stalactite: toolbox for fast prototyping of vertical federated learning systems.

Anastasiia Zakharova, Dmitriy Alexandrov, Maria Khodorchenko, Nikolay Butakov, Alexey Vasilev, Maxim Savchenko, Alexander Grigorievskiy

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Surrogate-based optimization of learning strategies for additively regularized topic models.

Maria Khodorchenko, Nikolay Butakov, Timur Sokhin, Sergey Teryoshkin

Log. J. IGPL, March, 2023

Improved Evolutionary Approach for Tuning Topic Models with Additive Regularization.

Maria Khodorchenko, Nikolay Butakov, Denis A. Nasonov

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

2022

Towards Better Evaluation of Topic Model Quality.

Maria Khodorchenko, Nikolay Butakov, Denis A. Nasonov

Proceedings of the 32nd Conference of Open Innovations Association, 2022

2020

Unsupervised Neural Aspect Search with Related Terms Extraction.

Timur Sokhin, Maria Khodorchenko, Nikolay Butakov

CoRR, 2020

Optimization of Learning Strategies for ARTM-Based Topic Models.

Maria Khodorchenko, Sergey Teryoshkin, Timur Sokhin, Nikolay Butakov

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Topic-driven Ensemble for Online Advertising Generation.

Egor Nevezhin, Nikolay Butakov, Maria Khodorchenko, Maxim Petrov, Denis A. Nasonov

Proceedings of the 28th International Conference on Computational Linguistics, 2020