Puqian Wang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Concept Learning

Classification Noise

Top Venues

Publications

Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas
Robustly Learning Single-Index Models via Alignment Sharpness. CoRR (2024)
Ilias Diakonikolas, Jelena Diakonikolas, Daniel Kane, Puqian Wang, Nikos Zarifis
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise. NeurIPS (2023)
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
Robustly Learning a Single Neuron via Sharpness. CoRR (2023)
Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis
Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. COLT (2023)
Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise. CoRR (2023)
Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
Robustly Learning a Single Neuron via Sharpness. ICML (2023)
Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis
Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. CoRR (2023)
Jelena Diakonikolas, Puqian Wang
Potential Function-Based Framework for Minimizing Gradients in Convex and Min-Max Optimization. SIAM J. Optim. 32 (3) (2022)
Jelena Diakonikolas, Puqian Wang
Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization. CoRR (2021)