Gleb Gusev
11 papers · 2016–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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๐บ๏ธ Taxonomy Completionist (29) ๐ Academic Marathon ยท Sprint ๐ Conference Polyglot ยท Silver ๐ Interdisciplinary Bridge ยท Silver ๐ฃ Hot Topic Early Bird
๐งฌ
Topic Evolution
๐งญ
Keyword Pioneer
๐
Keyword Trendsetter Combo
(3)
๐
Trend Setter
๐
Renaissance Researcher
(6)
๐
Century Club ยท Bronze
๐๏ธ
Keyword Collector
(58)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Core Methods
(7)
Optimization & Theory
(7)
Mathematics & Optimization
(5)
Natural Language Processing
(3)
Learning Types
(3)
Mathematics
(3)
Optimization
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Applications
(2)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Keywords
learning to rank
(3)
non-convex optimization
(1)
label noise
(1)
feature selection
(1)
hyperparameter optimization
(1)
gradient-based optimization
(1)
embedding learning
(1)
model distillation
(1)
named entity recognition
(1)
information retrieval
(1)
graph structure
(1)
computational efficiency
(1)
low-rank approximation
(1)
time series
(1)
matrix factorization
(1)
gradient boosting
(1)
stochastic optimization
(1)
variance reduction
(1)
low-rank matrix
(1)
riemannian optimization
(1)
Papers
PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences
IJCAI 2025
SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision
NeurIPS 2024
Towards Computationally Feasible Deep Active Learning
NAACL 2022
Uncertainty Estimation of Transformer Predictions for Misclassification Detection
ACL 2022
Learning to select for a predefined ranking
ICML 2019
Minimal Variance Sampling in Stochastic Gradient Boosting
NeurIPS 2019
CatBoost: unbiased boosting with categorical features
NeurIPS 2018
Riemannian Optimization for Skip-Gram Negative Sampling
ACL 2017
Efficient High-Order Interaction-Aware Feature Selection Based on Conditional Mutual Information
NeurIPS 2016
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods
NeurIPS 2016
MetaโGradient Boosted Decision Tree Model for Weight and Target Learning
ICML 2016