Linjun Zhang
Linjun Zhang
Assistant Professor of Statistics, Rutgers University
Verified email at - Homepage
Cited by
Cited by
How does mixup help with robustness and generalization?
L Zhang, Z Deng, K Kawaguchi, A Ghorbani, J Zou
arXiv preprint arXiv:2010.04819, 2020
The cost of privacy: Optimal rates of convergence for parameter estimation with differential privacy
TT Cai, Y Wang, L Zhang
The Annals of Statistics 49 (5), 2825-2850, 2021
CHIME: Clustering of high-dimensional Gaussian mixtures with EM algorithm and its optimality
TT Cai, J Ma, L Zhang
Improving generalization in meta-learning via task augmentation
H Yao, LK Huang, L Zhang, Y Wei, L Tian, J Zou, J Huang
International conference on machine learning, 11887-11897, 2021
High dimensional linear discriminant analysis: optimality, adaptive algorithm and missing data
T Tony Cai, L Zhang
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2019
Improving out-of-distribution robustness via selective augmentation
H Yao, Y Wang, S Li, L Zhang, W Liang, J Zou, C Finn
International Conference on Machine Learning, 25407-25437, 2022
Exactly scale-free scale-free networks
L Zhang, M Small, K Judd
Physica A: Statistical Mechanics and its Applications 433, 182-197, 2015
Adversarial training helps transfer learning via better representations
Z Deng, L Zhang, K Vodrahalli, K Kawaguchi, JY Zou
Advances in Neural Information Processing Systems 34, 25179-25191, 2021
High-dimensional Gaussian copula regression: Adaptive estimation and statistical inference
TT Cai, L Zhang
Statistica Sinica, 963-993, 2018
Meta-learning with fewer tasks through task interpolation
H Yao, L Zhang, C Finn
arXiv preprint arXiv:2106.02695, 2021
When and how mixup improves calibration
L Zhang, Z Deng, K Kawaguchi, J Zou
International Conference on Machine Learning, 26135-26160, 2022
The power of contrast for feature learning: A theoretical analysis
W Ji, Z Deng, R Nakada, J Zou, L Zhang
arXiv preprint arXiv:2110.02473, 2021
A convex optimization approach to high-dimensional sparse quadratic discriminant analysis
TT Cai, L Zhang
The Annals of Statistics 49 (3), 1537-1568, 2021
Improving adversarial robustness via unlabeled out-of-domain data
Z Deng, L Zhang, A Ghorbani, J Zou
International Conference on Artificial Intelligence and Statistics, 2845-2853, 2021
Random complex networks
M Small, L Hou, L Zhang
National Science Review 1 (3), 357-367, 2014
The cost of privacy in generalized linear models: Algorithms and minimax lower bounds
TT Cai, Y Wang, L Zhang
arXiv preprint arXiv:2011.03900, 2020
Scaffolding sets
M Burhanpurkar, Z Deng, C Dwork, L Zhang
arXiv preprint arXiv:2111.03135, 2021
Interpreting robust optimization via adversarial influence functions
Z Deng, C Dwork, J Wang, L Zhang
International Conference on Machine Learning, 2464-2473, 2020
Understanding dynamics of nonlinear representation learning and its application
K Kawaguchi, L Zhang, Z Deng
Neural computation 34 (4), 991-1018, 2022
Estimation, confidence intervals, and large-scale hypotheses testing for high-dimensional mixed linear regression
L Zhang, R Ma, TT Cai, H Li
arXiv preprint arXiv:2011.03598, 2020
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