Yuqing Wang

Orcid: 0009-0004-9922-3067

Affiliations:
  • University of California Berkeley (UCB), Simons Institute, CA, USA
  • Georgia Institute of Technology, School of Mathematics, Atlanta, GA, USA (PhD 2024)


According to our database1, Yuqing Wang authored at least 9 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Quantitative convergence analysis of dynamical processes in machine learning.
PhD thesis, 2024

Provable Acceleration of Nesterov's Accelerated Gradient for Rectangular Matrix Factorization and Linear Neural Networks.
CoRR, 2024

Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Evaluating the design space of diffusion-based generative models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Markov Chain Monte Carlo for Gaussian: A Linear Control Perspective.
IEEE Control. Syst. Lett., 2023

Good regularity creates large learning rate implicit biases: edge of stability, balancing, and catapult.
CoRR, 2023

Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2020
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? - A Neural Tangent Kernel Perspective.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


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