Ustimenko, Aleksei

8 publications

ICML 2024 Deep Stochastic Mechanics Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett

ICLR 2024 Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting Aleksei Ustimenko, Aleksandr Beznosikov

ICLR 2023 Gradient Boosting Performs Gaussian Process Inference Aleksei Ustimenko, Artem Beliakov, Liudmila Prokhorenkova

ICML 2023 Which Tricks Are Important for Learning to Rank? Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova

ICML 2021 SGLB: Stochastic Gradient Langevin Boosting Aleksei Ustimenko, Liudmila Prokhorenkova

ICLR 2021 Uncertainty in Gradient Boosting via Ensembles Andrey Malinin, Liudmila Prokhorenkova, Aleksei Ustimenko

ICML 2020 StochasticRank: Global Optimization of Scale-Free Discrete Functions Aleksei Ustimenko, Liudmila Prokhorenkova

ICML 2019 Learning to Select for a Predefined Ranking Aleksei Ustimenko, Aleksandr Vorobev, Gleb Gusev, Pavel Serdyukov