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Aleksei Ustimenko
Aleksei Ustimenko
Lead ML Scientist at ShareChat. Ex-Yandex.Research
Verified email at sharechat.co
Title
Cited by
Cited by
Year
Uncertainty in Gradient Boosting via Ensembles
A Ustimenko, L Prokhorenkova, A Malinin
ICLR 2021; arXiv preprint arXiv:2006.10562, 2020
40*2020
SGLB: Stochastic Gradient Langevin Boosting
A Ustimenko, L Prokhorenkova
ICML 2021; arXiv preprint arXiv:2001.07248, 2020
17*2020
StochasticRank: Global Optimization of Scale-Free Discrete Functions
A Ustimenko, L Prokhorenkova
International Conference on Machine Learning, 2020
102020
Learning to select for a predefined ranking
A Ustimenko, A Vorobev, G Gusev, P Serdyukov
International Conference on Machine Learning, 6477-6486, 2019
72019
Methods and systems for training a decision-tree based machine learning algorithm (mla)
AI Ustimenko
US Patent App. 17/207,403, 2022
12022
Method and server for training machine learning algorithm for ranking objects
AI Ustimenko
US Patent App. 17/223,680, 2021
12021
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
12017
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
2022
Gradient Boosting Performs Gaussian Process Inference
A Ustimenko, A Beliakov, L Prokhorenkova
ICLR 2023, 2022
2022
Method of and system for ranking digital objects based on objective characteristic associated therewith
AI Ustimenko, AL Vorobyev, GG Gusev, PV Serdyukov
US Patent 11,308,099, 2022
2022
Which Tricks are Important for Learning to Rank?
I Lyzhin, A Ustimenko, A Gulin, L Prokhorenkova
arXiv preprint arXiv:2204.01500, 2022
2022
On Matrix Subspaces with Trivial Quadratic Kernels
A Tret’yakov, E Tyrtyshnikov, A Ustimenko
Structured Matrices in Numerical Linear Algebra 30 (Springer INdAM Series …, 2019
2019
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