Andrey Gulin

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #15,617 of 35,345 by trust here, #22,463 by citations
• Optimization & Training — 9 citations into it
• Information Systems — 8 citations into it
• Statistics and Probability — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it; #9,993 of 21,575 by trust here, #14,822 by citations

Whom Andrey Gulin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jerome H. Friedman
2. R. Caruana
3. Tianqi Chen
4. Yanru Zhang
5. B. Roe

Who trusts Andrey Gulin overall

1. Ravid Shwartz-Ziv
2. Anastasios Nikolas Angelopoulos
3. Rajiv Punmiya

Papers from Andrey Gulin's perspective

Ordered by how strongly the researchers Andrey Gulin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Greedy function approximation: A gradient boosting machine.
2. Stochastic gradient boosting
3. Special Invited Paper-Additive logistic regression: A statistical view of boosting
4. XGBoost: A Scalable Tree Boosting System
5. Practical Lessons from Predicting Clicks on Ads at Facebook
6. Large Scale Online Learning
7. Sparse Online Learning via Truncated Gradient (Neural Information Processing Systems)
8. LightGBM: A Highly Efficient Gradient Boosting Decision Tree
9. An empirical comparison of supervised learning algorithms
10. Classification and regression trees

Their papers

• CatBoost: gradient boosting with categorical features support (2018) — 1,928 citations
• CatBoost: unbiased boosting with categorical features (2017) — 6,070 citations