Suivre
Lunjia Hu
Titre
Citée par
Citée par
Année
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
1272018
Loss minimization through the lens of outcome indistinguishability
P Gopalan, L Hu, MP Kim, O Reingold, U Wieder
arXiv preprint arXiv:2210.08649, 2022
352022
A unifying theory of distance from calibration
J Błasiok, P Gopalan, L Hu, P Nakkiran
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 1727-1740, 2023
282023
When does optimizing a proper loss yield calibration?
J Blasiok, P Gopalan, L Hu, P Nakkiran
Advances in Neural Information Processing Systems 36, 2024
252024
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
252022
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
242017
Near-Optimal Explainable k-Means for All Dimensions
M Charikar, L Hu
Proceedings of the 2022 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2022
212022
Omnipredictors for constrained optimization
L Hu, IRL Navon, O Reingold, C Yang
International Conference on Machine Learning, 13497-13527, 2023
192023
Active tolerant testing
A Blum, L Hu
Conference On Learning Theory, 474-497, 2018
192018
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
172020
Capacitated center problems with two-sided bounds and outliers
H Ding, L Hu, L Huang, J Li
Algorithms and Data Structures: 15th International Symposium, WADS 2017, St …, 2017
142017
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
112020
Loss minimization yields multicalibration for large neural networks
J Błasiok, P Gopalan, L Hu, AT Kalai, P Nakkiran
arXiv preprint arXiv:2304.09424, 2023
72023
Subspace recovery from heterogeneous data with non-isotropic noise
JC Duchi, V Feldman, L Hu, K Talwar
Advances in Neural Information Processing Systems 35, 5854-5866, 2022
72022
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
72022
Approximation algorithms for orthogonal non-negative matrix factorization
M Charikar, L Hu
International Conference on Artificial Intelligence and Statistics, 2728-2736, 2021
72021
On Computationally Efficient Multi-Class Calibration
P Gopalan, L Hu, GN Rothblum
arXiv preprint arXiv:2402.07821, 2024
52024
Robust mean estimation on highly incomplete data with arbitrary outliers
L Hu, O Reingold
International Conference on Artificial Intelligence and Statistics, 1558-1566, 2021
52021
Comparative learning: A sample complexity theory for two hypothesis classes
L Hu, C Peale
arXiv preprint arXiv:2211.09101, 2022
42022
Predict to Minimize Swap Regret for All Payoff-Bounded Tasks
L Hu, Y Wu
arXiv preprint arXiv:2404.13503, 2024
32024
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