Puqian Wang

According to our database, Puqian Wang authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Robustly Learning Single-Index Models via Alignment Sharpness.

Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise.

Ilias Diakonikolas, Jelena Diakonikolas, Daniel Kane, Puqian Wang, Nikos Zarifis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Robustly Learning a Single Neuron via Sharpness.

Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas

Proceedings of the International Conference on Machine Learning, 2023

Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise.

Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Potential Function-Based Framework for Minimizing Gradients in Convex and Min-Max Optimization.

Jelena Diakonikolas, Puqian Wang

SIAM J. Optim., 2022

2021

Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization.

Jelena Diakonikolas, Puqian Wang

CoRR, 2021