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Lunjia Hu
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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
1292018
Loss minimization through the lens of outcome indistinguishability
P Gopalan, L Hu, MP Kim, O Reingold, U Wieder
arXiv preprint arXiv:2210.08649, 2022
382022
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
322023
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
262022
When does optimizing a proper loss yield calibration?
J Blasiok, P Gopalan, L Hu, P Nakkiran
Advances in Neural Information Processing Systems 36, 72071-72095, 2023
252023
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
252017
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
202023
Active tolerant testing
A Blum, L Hu
Conference On Learning Theory, 474-497, 2018
202018
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
182020
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
132017
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
Approximation algorithms for orthogonal non-negative matrix factorization
M Charikar, L Hu
International Conference on Artificial Intelligence and Statistics, 2728-2736, 2021
82021
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
Predict to minimize swap regret for all payoff-bounded tasks
L Hu, Y Wu
2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS …, 2024
62024
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
62022
On computationally efficient multi-class calibration
P Gopalan, L Hu, GN Rothblum
The Thirty Seventh Annual Conference on Learning Theory, 1983-2026, 2024
52024
Loss minimization yields multicalibration for large neural networks
J Błasiok, P Gopalan, L Hu, AT Kalai, P Nakkiran
15th Innovations in Theoretical Computer Science Conference (ITCS 2024) 287 …, 2024
52024
Comparative learning: A sample complexity theory for two hypothesis classes
L Hu, C Peale
arXiv preprint arXiv:2211.09101, 2022
52022
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
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Artikler 1–20