Vyacheslav Kungurtsev

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computational Mechanics — 17 citations into it
• Optimization & Training — 17 citations into it

Whom Vyacheslav Kungurtsev trusts overall

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

1. Chih-Jen Lin
2. Raghu Bollapragada
3. Wes McKinney

Papers from Vyacheslav Kungurtsev's perspective

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

1. LIBSVM: A library for support vector machines
2. Optimization Methods for Large-Scale Machine Learning
3. Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming
4. Stochastic Approximation and Recursive Algorithms and Applications
5. Exact and Inexact Subsampled Newton Methods for Optimization
6. Newton Sketch: A Near Linear-Time Optimization Algorithm with Linear-Quadratic Convergence
7. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
8. Accelerated Methods for Non-Convex Optimization
9. SciPy: Open Source Scientific Tools for Python
10. Natasha 2: Faster Non-Convex Optimization Than SGD

Their papers

• A Subsampling Line-Search Method with Second-Order Results (2018) — 22 citations