Cheuk Yin Lin

According to our database, Cheuk Yin Lin authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective.

Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Empirical Risk Minimization with Shuffled SGD: A Primal-Dual Perspective and Improved Bounds.

Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas

CoRR, 2023

Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization.

Cheuk Yin Lin, Chaobing Song, Jelena Diakonikolas

Proceedings of the International Conference on Machine Learning, 2023

2022

Coordinate Linear Variance Reduction for Generalized Linear Programming.

Chaobing Song, Cheuk Yin Lin, Stephen J. Wright, Jelena Diakonikolas

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Parameter-free Locally Accelerated Conditional Gradients.

Alejandro Carderera, Jelena Diakonikolas, Cheuk Yin Lin, Sebastian Pokutta

Proceedings of the 38th International Conference on Machine Learning, 2021