| Uncertainty in Gradient Boosting via Ensembles A Malinin, L Prokhorenkova, A Ustimenko International Conference on Learning Representations, 2021, 2020 | 118 | 2020 |
| SGLB: Stochastic Gradient Langevin Boosting A Ustimenko, L Prokhorenkova International Conference on Machine Learning, 2021, 2020 | 29* | 2020 |
| StochasticRank: Global Optimization of Scale-Free Discrete Functions A Ustimenko, L Prokhorenkova International Conference on Machine Learning, 2020, 2020 | 22 | 2020 |
| On (Normalised) Discounted Cumulative Gain as an Offline Evaluation Metric for Top-𝑛 Recommendation O Jeunen, I Potapov, A Ustimenko KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge …, 2024 | 14* | 2024 |
| Which Tricks are Important for Learning to Rank? I Lyzhin, A Ustimenko, A Gulin, L Prokhorenkova International Conference on Machine Learning, 2023, 2022 | 11 | 2022 |
| Learning to select for a predefined ranking A Ustimenko, A Vorobev, G Gusev, P Serdyukov International Conference on Machine Learning, 6477-6486, 2019 | 7 | 2019 |
| Variance Reduction in Ratio Metrics for Efficient Online Experiments S Baweja, N Pokharna, A Ustimenko, O Jeunen European Conference on Information Retrieval, 292-297, 2024 | 6 | 2024 |
| Learning Metrics that Maximise Power for Accelerated A/B-Tests O Jeunen, A Ustimenko Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 4 | 2024 |
| Method and server for training machine learning algorithm for ranking objects AI Ustimenko US Patent App. 17/223,680, 2021 | 4 | 2021 |
| Gradient Boosting Performs Gaussian Process Inference A Ustimenko, A Beliakov, L Prokhorenkova International Conference on Learning Representations, 2023, 2022 | 3 | 2022 |
| Learning-to-Rank with Nested Feedback H Sagtani, O Jeunen, A Ustimenko European Conference on Information Retrieval, 306-315, 2024 | 2 | 2024 |
| On gradient boosted decision trees and neural rankers: a case-study on short-video recommendations at ShareChat O Jeunen, H Sagtani, H Doi, R Karimov, N Pokharna, D Kalim, ... Proceedings of the 15th Annual Meeting of the Forum for Information …, 2023 | 2 | 2023 |
| Powerful A/B-Testing Metrics and Where to Find Them O Jeunen, S Baweja, N Pokharna, A Ustimenko Proceedings of the 18th ACM Conference on Recommender Systems, 816-818, 2024 | 1 | 2024 |
| Δ-OPE: Off-Policy Estimation with Pairs of Policies O Jeunen, A Ustimenko Proceedings of the 18th ACM Conference on Recommender Systems, 878-883, 2024 | 1 | 2024 |
| Multi-Objective Recommendation via Multivariate Policy Learning O Jeunen, J Mandav, I Potapov, N Agarwal, S Vaid, W Shi, A Ustimenko Proceedings of the 18th ACM Conference on Recommender Systems, 712-721, 2024 | 1 | 2024 |
| Deep Stochastic Mechanics E Orlova, A Ustimenko, R Jiang, PY Lu, R Willett International Conference on Machine Learning, 2024, 2024 | 1 | 2024 |
| Methods and systems for generating an uncertainty score for an output of a Gadient Boosting Decision Tree model LA Prokhorenkova, AI Ustimenko, AA Malinin US Patent App. 17/351,719, 2022 | 1 | 2022 |
| Methods and systems for training a decision-tree based machine learning algorithm (mla) AI Ustimenko US Patent App. 17/207,403, 2022 | 1 | 2022 |
| The triviality condition for kernels of quadratic mappings and its application in optimization methods A Tret’yakov, E Tyrtyshnikov, A Ustimenko Russian Journal of Numerical Analysis and Mathematical Modelling 32 (4), 267-274, 2017 | 1 | 2017 |
| Methods and systems for training a decision-tree based machine learning algorithm (mla) L Prokhorenkova, A Ustimenko US Patent App. 18/395,024, 2024 | | 2024 |
Liudmila Ostroumova ProkhorenkovaYandexAdresse e-mail validée de yandex-team.ru