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Linjun Zhang

Rutgers University

11

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45

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2021 arXiv: Learning
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Improving Generalization in Meta-learning via Task Augmentation

2021 ICML | International Conference on Machine Learning
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Adversarial Training Helps Transfer Learning via Better Representations

2021 NeurIPS | Neural Information Processing Systems
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A Central Limit Theorem for Differentially Private Query Answering

2021 NeurIPS | Neural Information Processing Systems
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The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy

2021 Annals of Statistics
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A convex optimization approach to high-dimensional sparse quadratic discriminant analysis

2021 Annals of Statistics
- Tommaso Cai
- Linjun Zhang
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How Does Mixup Help With Robustness and Generalization

2020 ICLR | International Conference on Learning Representations
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Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression

2020 arXiv: Methodology
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Interpreting Robust Optimization via Adversarial Influence Functions

2020 ICML | International Conference on Machine Learning
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