| Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry. | 0 | 0.34 | 2021 |
| Reanalysis of Variance Reduced Temporal Difference Learning. | 0 | 0.34 | 2020 |
| SGD Converges to Global Minimum in Deep Learning via Star-convex Path. | 0 | 0.34 | 2019 |
| SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization. | 6 | 0.41 | 2018 |
| Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties. | 0 | 0.34 | 2018 |
