Classification with fairness constraints: A meta-algorithm with provable guarantees LE Celis, L Huang, V Keswani, NK Vishnoi
Proceedings of the conference on fairness, accountability, and transparency …, 2019
324 2019 Multiwinner voting with fairness constraints LE Celis, L Huang, NK Vishnoi
arXiv preprint arXiv:1710.10057, 2017
114 2017 Coresets for clustering with fairness constraints L Huang, S Jiang, N Vishnoi
Advances in neural information processing systems 32, 2019
113 2019 Stable and fair classification L Huang, N Vishnoi
International Conference on Machine Learning, 2879-2890, 2019
77 2019 Epsilon-coresets for clustering (with outliers) in doubling metrics L Huang, SHC Jiang, J Li, X Wu
2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018
77 2018 Coresets for clustering in euclidean spaces: importance sampling is nearly optimal L Huang, NK Vishnoi
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing …, 2020
74 2020 Fair classification with noisy protected attributes: A framework with provable guarantees LE Celis, L Huang, V Keswani, NK Vishnoi
International Conference on Machine Learning, 1349-1361, 2021
62 * 2021 Egalitarian pairwise kidney exchange: fast algorithms vialinear programming and parametric flow J Li, Y Liu, L Huang, P Tang
Proceedings of the 2014 international conference on Autonomous agents and …, 2014
36 2014 Coresets for clustering in graphs of bounded treewidth D Baker, V Braverman, L Huang, SHC Jiang, R Krauthgamer, X Wu
International Conference on Machine Learning, 569-579, 2020
32 2020 M-mix: Generating hard negatives via multi-sample mixing for contrastive learning S Zhang, M Liu, J Yan, H Zhang, L Huang, X Yang, P Lu
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
26 2022 Stochastic k -Center and j -Flat-Center Problems L Huang, J Li
Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017
26 2017 The multi-shop ski rental problem L Ai, X Wu, L Huang, L Huang, P Tang, J Li
The 2014 ACM international conference on Measurement and modeling of …, 2014
25 2014 Approximation algorithms for the connected sensor cover problem L Huang, J Li, Q Shi
International computing and combinatorics conference, 183-196, 2015
24 * 2015 Coresets for time series clustering L Huang, K Sudhir, N Vishnoi
Advances in Neural Information Processing Systems 34, 22849-22862, 2021
22 2021 K-means clustering with distributed dimensions H Ding, Y Liu, L Huang, J Li
International Conference on Machine Learning, 1339-1348, 2016
21 2016 Canonical paths for MCMC: from art to science L Huang, P Lu, C Zhang
Proceedings of the twenty-seventh annual ACM-SIAM symposium on Discrete …, 2016
21 2016 -Kernel Coresets for Stochastic PointsL Huang, J Li, JM Phillips, H Wang
arXiv preprint arXiv:1411.0194, 2014
20 2014 A roadmap for big model S Yuan, H Zhao, S Zhao, J Leng, Y Liang, X Wang, J Yu, X Lv, Z Shao, ...
arXiv preprint arXiv:2203.14101, 2022
17 2022 Coresets for regressions with panel data L Huang, K Sudhir, N Vishnoi
Advances in Neural Information Processing Systems 33, 325-337, 2020
15 2020 Approximating the expected values for combinatorial optimization problems over stochastic points L Huang, J Li
International Colloquium on Automata, Languages, and Programming, 910-921, 2015
15 2015