Aleksei Ustimenko
8 papers · 2019–2024 · 2 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (9)
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The Questioner
Conferences
ICML (5)
ICLR (3)
Top co-authors
Keywords
learning to rank
(3)
gradient boosting
(2)
bayesian inference
(1)
information retrieval
(1)
global optimization
(1)
discrete optimization
(1)
ranking optimization
(1)
ranking loss
(1)
langevin diffusion
(1)
stochastic smoothing
(1)
ranking metric
(1)
discrete loss function
(1)
gradient-boosted decision tree
(1)
stochastic gradient langevin boosting
(1)
multimodal loss
(1)
stochastic optimization
(1)
list optimization
(1)
stochastic gradient
(1)
Papers
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting
ICLR 2024
Deep Stochastic Mechanics
ICML 2024
Which Tricks are Important for Learning to Rank?
ICML 2023
Gradient Boosting Performs Gaussian Process Inference
ICLR 2023
Uncertainty in Gradient Boosting via Ensembles
ICLR 2021
SGLB: Stochastic Gradient Langevin Boosting
ICML 2021
StochasticRank: Global Optimization of Scale-Free Discrete Functions
ICML 2020
Learning to select for a predefined ranking
ICML 2019