Puqian Wang - RankMe

16 papers A* 6Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ARO: A New Lens On Matrix Optimization For Large Models. CoRR Wenbo Gong, Javier Zazo, Qijun Luo, Puqian Wang, James Hensman, Chao Ma
2025	A*	`conf`	Robustly Learning Monotone Generalized Linear Models via Data Augmentation. COLT Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas
2025	J	`jnl`	Robustly Learning Monotone Generalized Linear Models via Data Augmentation. CoRR Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas
2025	J	`jnl`	Robustly Learning Monotone Single-Index Models. CoRR Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
2024	A*	`conf`	Robustly Learning Single-Index Models via Alignment Sharpness. ICML Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas
2024	J	`jnl`	Robustly Learning Single-Index Models via Alignment Sharpness. CoRR Nikos Zarifis, Puqian Wang, Ilias Diakonikolas, Jelena Diakonikolas
2024	A*	`conf`	Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models. NeurIPS Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
2024	J	`jnl`	Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models. CoRR Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
2023	A*	`conf`	Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. COLT Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis
2023	J	`jnl`	Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise. CoRR Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis
2023	A*	`conf`	Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise. NeurIPS Ilias Diakonikolas, Jelena Diakonikolas, Daniel Kane, Puqian Wang, Nikos Zarifis
2023	J	`jnl`	Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise. CoRR Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Puqian Wang, Nikos Zarifis
2023	A*	`conf`	Robustly Learning a Single Neuron via Sharpness. ICML Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
2023	J	`jnl`	Robustly Learning a Single Neuron via Sharpness. CoRR Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas
2022	J	`jnl`	Potential Function-Based Framework for Minimizing Gradients in Convex and Min-Max Optimization. SIAM J. Optim. Jelena Diakonikolas, Puqian Wang
2021	J	`jnl`	Potential Function-based Framework for Making the Gradients Small in Convex and Min-Max Optimization. CoRR Jelena Diakonikolas, Puqian Wang