Puqian Wang

1. Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise
   2023/06/28 by Ilias Diakonikolas, Jelena Diakonikolas, Diakonikolas, Ilias +7 · 1 citation
   Computer Science · #Algorithms and Data Compression #Complexity and Algorithms in Graphs #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistics Theory (math.ST)
2. Robustly Learning Single-Index Models via Alignment Sharpness
   2024/02/27 by Nikos Zarifis, Zarifis, Nikos, Puqian Wang +5 · 2 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Face and Expression Recognition
3. Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise
   2023/07/13 by Ilias Diakonikolas, Jelena Diakonikolas, Diakonikolas, Ilias +7 · 1 citation
   Computer Science · #Data Structures and Algorithms (cs.DS) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistics Theory (math.ST)
4. Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
   2024/11/08 by Puqian Wang, Nikos Zarifis, Wang, Puqian +5 · 2 citations
   Computer Science · Engineering · #Bayesian Modeling and Causal Inference #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)