Publications

Conference

• Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling [arxiv]
  Zhenyu Zhu, Francesco Locatello, Volkan Cevher
  In Proc. of Advances in Neural Information Processing Systems (NeurIPS) 36, New Orleans, LA, USA, 2023.
  
  

• Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks [arxiv]
  Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, Volkan Cevher
  In Proc. of Advances in Neural Information Processing Systems (NeurIPS) 36, New Orleans, LA, USA, 2023.
  
  

• Benign Overfitting in Deep Neural Networks under Lazy Training [arxiv]
  Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Francesco Locatello, Volkan Cevher
  In Proc. of the 40th International Conference on Machine Learning (ICML), Honolulu, July 23-29, 2023.
  
  

• Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization) [arxiv]
  Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher
  In Proc. of Advances in Neural Information Processing Systems (NeurIPS) 35, New Orleans, LA, USA, 2022.
  
  

• Generalization Properties of NAS under Activation and Skip Connection Search [arxiv]
  Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher
  In Proc. of Advances in Neural Information Processing Systems (NeurIPS) 35, New Orleans, LA, USA, 2022.
  
  

• Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study [arxiv]
  Yongtao Wu, Zhenyu Zhu, Fanghui Liu, Grigorios G Chrysos, Volkan Cevher
  In Proc. of Advances in Neural Information Processing Systems (NeurIPS) 35, New Orleans, LA, USA, 2022.
  
  

• Controlling the Complexity and Lipschitz Constant improves polynomial nets [arxiv]
  Zhenyu Zhu, Fabian Latorre, Grigorios G Chrysos, Volkan Cevher
  In Proc. of the 10th International Conference on Learning Representations (ICLR), 2022.