| 2026 | SIGIR | Variance Reduction for Heavy-Tailed Monetization Metrics in Ranking Experiments via Post-Stratification. | Neeti Pokharna, Olivier Jeunen, Yatharth Saraf, Aleksei Ustimenko |
| 2024 | ECIR | Variance Reduction in Ratio Metrics for Efficient Online Experiments. | Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko, Olivier Jeunen |
| 2024 | ECIR | Learning-to-Rank with Nested Feedback. | Hitesh Sagtani, Olivier Jeunen, Aleksei Ustimenko |
| 2024 | ICLR | Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting. | Aleksei Ustimenko, Aleksandr Beznosikov |
| 2024 | ICML | Deep Stochastic Mechanics. | Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett |
| 2024 | KDD | On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top- | Olivier Jeunen, Ivan Potapov, Aleksei Ustimenko |
| 2024 | KDD | Learning Metrics that Maximise Power for Accelerated A/B-Tests. | Olivier Jeunen, Aleksei Ustimenko |
| 2024 | RecSys | Powerful A/B-Testing Metrics and Where to Find Them. | Olivier Jeunen, Shubham Baweja, Neeti Pokharna, Aleksei Ustimenko |
| 2024 | RecSys | Multi-Objective Recommendation via Multivariate Policy Learning. | Olivier Jeunen, Jatin Mandav, Ivan Potapov, Nakul Agarwal, Sourabh Vaid, Wenzhe Shi, Aleksei Ustimenko |
| 2024 | RecSys | Δ-OPE: Off-Policy Estimation with Pairs of Policies. | Olivier Jeunen, Aleksei Ustimenko |
| 2023 | ICLR | Gradient Boosting Performs Gaussian Process Inference. | Aleksei Ustimenko, Artem Beliakov, Liudmila Prokhorenkova |
| 2023 | ICML | Which Tricks are Important for Learning to Rank? | Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova |
| 2021 | ICLR | Uncertainty in Gradient Boosting via Ensembles. | Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko |
| 2021 | ICML | SGLB: Stochastic Gradient Langevin Boosting. | Aleksei Ustimenko, Liudmila Prokhorenkova |
| 2020 | ICML | StochasticRank: Global Optimization of Scale-Free Discrete Functions. | Aleksei Ustimenko, Liudmila Prokhorenkova |
| 2019 | ICML | Learning to select for a predefined ranking. | Aleksandr Vorobev, Aleksei Ustimenko, Gleb Gusev, Pavel Serdyukov |