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Lunjia Hu
Lunjia Hu
Verified email at stanford.edu - Homepage
Title
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Cited by
Year
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
L Wang, L Hu, J Gu, Z Hu, Y Wu, K He, J Hopcroft
Advances in Neural Information Processing Systems (NeurIPS) 2018, 9606-9615, 2018
602018
Quadratic upper bound for recursive teaching dimension of finite VC classes
L Hu, R Wu, T Li, L Wang
Conference on Learning Theory (COLT) 2017. arXiv preprint arXiv:1702.05677, 2017
152017
Active tolerant testing
A Blum, L Hu
Conference On Learning Theory, 474-497, 2018
132018
Robust and on-the-fly dataset denoising for image classification
J Song, L Hu, Y Dauphin, M Auli, T Ma
arXiv preprint arXiv:2003.10647, 2020
82020
Capacitated center problems with two-sided bounds and outliers
H Ding, L Hu, L Huang, J Li
Workshop on Algorithms and Data Structures, 325-336, 2017
82017
Near-Optimal Explainable k-Means for All Dimensions
M Charikar, L Hu
Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2022
52022
The Power of Many Samples in Query Complexity
A Bassilakis, A Drucker, M Göös, L Hu, W Ma, LY Tan
International Colloquium on Automata, Languages and Programming (ICALP), 2020
52020
An Improved Local Search Algorithm for k-Median
V Cohen-Addad, A Gupta, L Hu, H Oh, D Saulpic
Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2022
42022
Approximation algorithms for orthogonal non-negative matrix factorization
M Charikar, L Hu
International Conference on Artificial Intelligence and Statistics, 2728-2736, 2021
22021
Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability
L Hu, C Peale, O Reingold
International Conference on Algorithmic Learning Theory, 515-552, 2022
2022
Robust Mean Estimation on Highly Incomplete Data with Arbitrary Outliers
L Hu, O Reingold
International Conference on Artificial Intelligence and Statistics, 1558-1566, 2021
2021
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Articles 1–11