Deyi Liu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Computational Mechanics — 9 citations into it
• Optimization & Training — 9 citations into it
• Statistics and Probability — 6 citations into it
• Mathematical Optimization — 5 citations into it

Whom Deyi Liu trusts overall

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

1. Yurii E. Nesterov
2. Chih-Jen Lin
3. Rie Johnson
4. Tong Zhang
5. Luo Luo
6. Junchi Yang
7. Lam M. Nguyen

Who trusts Deyi Liu overall

1. Nicolas Loizou

Papers from Deyi Liu's perspective

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

1. Accelerating Stochastic Gradient Descent using Predictive Variance Reduction
2. LIBSVM: A library for support vector machines
3. Finite-Dimensional Variational Inequalities and Complementarity Problems
4. SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
5. Smooth minimization of non-smooth functions
6. Gradient-based learning applied to document recognition
7. Lower bounds for non-convex stochastic optimization
8. On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
9. Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
10. On Robust Optimization

Their papers

• Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function (2020) — 28 citations