Linjun Zhang

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James ZouStanford UniversityEmail yang diverifikasi di stanford.edu
Zhun DengAssistant Professor, CS@UNC Chapel HillEmail yang diverifikasi di unc.edu
T. Tony CaiProfessor of Statistics & Data Science, University of PennsylvaniaEmail yang diverifikasi di wharton.upenn.edu
Huaxiu YaoAssistant Professor of Computer Science and Data Science, UNC Chapel HillEmail yang diverifikasi di cs.unc.edu
Kenji KawaguchiPresidential Young Professor, National University of SingaporeEmail yang diverifikasi di nus.edu.sg
Chelsea FinnStanford University, Physical IntelligenceEmail yang diverifikasi di cs.stanford.edu
Yichen WangUniversity of PennsylvaniaEmail yang diverifikasi di wharton.upenn.edu
Ryumei NakadaRutgers UniversityEmail yang diverifikasi di stat.rutgers.edu
Weijie SuAssociate Professor, University of PennsylvaniaEmail yang diverifikasi di wharton.upenn.edu
Cynthia DworkMicrosoft ResearchEmail yang diverifikasi di microsoft.com
Amirata GhorbaniStanford PhDEmail yang diverifikasi di alumni.stanford.edu
Shirley WuStanford UniversityEmail yang diverifikasi di stanford.edu
Michael SmallThe University of Western AustraliaEmail yang diverifikasi di uwa.edu.au
Ying WeiZhejiang UniversityEmail yang diverifikasi di zju.edu.cn
Mert YuksekgonulStanford UniversityEmail yang diverifikasi di stanford.edu
Mohit BansalParker Distinguished Professor, Computer Science, UNC Chapel HillEmail yang diverifikasi di cs.unc.edu
Wenlong JiStanford UniversityEmail yang diverifikasi di stanford.edu
Hongzhe Li, PhDUniversity of PennsylvaniaEmail yang diverifikasi di upenn.edu
Jing Ma, PhDFred Hutchinson Cancer CenterEmail yang diverifikasi di fredhutch.org
Yiping WangCS PhD, University of WashingtonEmail yang diverifikasi di cs.washington.edu

Ikuti

Linjun Zhang

Associate Professor of Statistics, Rutgers University

Email yang diverifikasi di rutgers.edu - Beranda

High-Dimensional Statistics Deep Learning Differential Privacy Algorithmic Fairness


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
How does mixup help with robustness and generalization? L Zhang, Z Deng, K Kawaguchi, A Ghorbani, J Zou arXiv preprint arXiv:2010.04819, 2020	286	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	209	2021
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	203	2022
Analyzing and mitigating object hallucination in large vision-language models Y Zhou, C Cui, J Yoon, L Zhang, Z Deng, C Finn, M Bansal, H Yao arXiv preprint arXiv:2310.00754, 2023	181	2023
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	98	2021
CHIME: Clustering of high-dimensional Gaussian mixtures with EM algorithm and its optimality TT Cai, J Ma, L Zhang	90	2019
Holistic analysis of hallucination in gpt-4v (ision): Bias and interference challenges C Cui, Y Zhou, X Yang, S Wu, L Zhang, J Zou, H Yao arXiv preprint arXiv:2311.03287, 2023	89	2023
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	68	2019
When and how mixup improves calibration L Zhang, Z Deng, K Kawaguchi, J Zou International Conference on Machine Learning, 26135-26160, 2022	67	2022
Meta-learning with fewer tasks through task interpolation H Yao, L Zhang, C Finn arXiv preprint arXiv:2106.02695, 2021	65	2021
C-mixup: Improving generalization in regression H Yao, Y Wang, L Zhang, JY Zou, C Finn Advances in neural information processing systems 35, 3361-3376, 2022	63	2022
Discover and cure: Concept-aware mitigation of spurious correlation S Wu, M Yuksekgonul, L Zhang, J Zou International Conference on Machine Learning, 37765-37786, 2023	60	2023
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	58	2021
Estimation and inference for high-dimensional generalized linear models with knowledge transfer S Li, L Zhang, TT Cai, H Li Journal of the American Statistical Association 119 (546), 1274-1285, 2024	51	2024
Exactly scale-free scale-free networks L Zhang, M Small, K Judd Physica A: Statistical Mechanics and its Applications 433, 182-197, 2015	45	2015
What should data science education do with large language models X Tu, J Zou, WJ Su, L Zhang arXiv preprint arXiv:2307.02792 3, 2023	41	2023
The power of contrast for feature learning: A theoretical analysis W Ji, Z Deng, R Nakada, J Zou, L Zhang Journal of Machine Learning Research 24 (330), 1-78, 2023	38	2023
Understanding multimodal contrastive learning and incorporating unpaired data R Nakada, HI Gulluk, Z Deng, W Ji, J Zou, L Zhang International Conference on Artificial Intelligence and Statistics, 4348-4380, 2023	32	2023
High-dimensional Gaussian copula regression: Adaptive estimation and statistical inference TT Cai, L Zhang Statistica Sinica, 963-993, 2018	30	2018
A convex optimization approach to high-dimensional sparse quadratic discriminant analysis TT Cai, L Zhang The Annals of Statistics 49 (3), 1537-1568, 2021	28	2021

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