WHEN IS TASK VECTOR Provably EFFECTIVE FOR MODEL EDITING? A GENERALIZATION ANALYSIS OF NONLINEAR TRANSFORMERS
- Hongkang Li
- Yihua Zhang
- et al.
- 2025
- ICLR 2025
Conference paper
Publications
12 results for Shuai Zhang
When is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
- Hongkang Li
- Yihua Zhang
- et al.
- 2025
- ICLR 2025
Conference paperSF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
- Shuai Zhang
- Heshan Fernando
- et al.
- 2024
- ICML 2024
Conference paperLearning on Transformers is Provable Low-Rank and Sparse: A One-layer Analysis
- Hongkang Li
- Meng Wang
- et al.
- 2024
- SAM 2024
Conference paperHow Does Promoting the Minority Fraction Affect Generalization? A Theoretical Study of One-Hidden-Layer Neural Network on Group Imbalance
- Hongkang Li
- Shuai Zhang
- et al.
- 2024
- Ieee Journal Of Selected Topics In Signal Processing
PaperOn the Convergence and Sample Complexity Analysis of Deep Q-Networks with epsilon-Greedy Exploration
- Shuai Zhang
- Hongkang Li
- et al.
- 2023
- NeurIPS 2023
Conference paperJoint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2023
- ICLR 2023
Conference paperHow unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
- Shuai Zhang
- Meng Weng
- et al.
- 2022
- ICLR 2022
Conference paperWhy Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2021
- NeurIPS 2021
Conference paperImproved Linear Convergence of Training CNNs with Generalizability Guarantees: A One-Hidden-Layer Case
- Shuai Zhang
- Meng Wang
- et al.
- 2021
- IEEE TNNLS
Paper