| High-Dimensional Robust Mean Estimation in Nearly-Linear Time Y Cheng, I Diakonikolas, R Ge 30th Annual ACM-SIAM Symposium on Discrete Algorithms, 2755-2771, 2019 | 157 | 2019 |
| Hardness Results for Signaling in Bayesian Zero-Sum and Network Routing Games U Bhaskar, Y Cheng, YK Ko, C Swamy 17th ACM Conference on Economics and Computation, 479-496, 2016 | 100 | 2016 |
| Group Fairness in Committee Selection Y Cheng, Z Jiang, K Munagala, K Wang ACM Transactions on Economics and Computation (TEAC) 8 (4), 1-18, 2020 | 86 | 2020 |
| Mixture Selection, Mechanism Design, and Signaling Y Cheng, HY Cheung, S Dughmi, E Emamjomeh-Zadeh, L Han, SH Teng 56th Annual IEEE Symposium on Foundations of Computer Science (FOCS), 1426-1445, 2015 | 79 | 2015 |
| Faster Algorithms for High-Dimensional Robust Covariance Estimation Y Cheng, I Diakonikolas, R Ge, D Woodruff 32nd Conference on Learning Theory, 727-757, 2019 | 75 | 2019 |
| Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification D Cheng, Y Cheng, Y Liu, R Peng, SH Teng 28th Conference On Learning Theory, 364-390, 2015 | 65* | 2015 |
| Robust Learning of Fixed-Structure Bayesian Networks Y Cheng, I Diakonikolas, D Kane, A Stewart 32nd Conference on Neural Information Processing Systems, 10304-10316, 2018 | 61* | 2018 |
| High-Dimensional Robust Mean Estimation via Gradient Descent Y Cheng, I Diakonikolas, R Ge, M Soltanolkotabi 37th International Conference on Machine Learning, 1768-1778, 2020 | 48 | 2020 |
| Non-Convex Matrix Completion Against a Semi-Random Adversary Y Cheng, R Ge 31st Conference on Learning Theory, 1362-1394, 2018 | 36 | 2018 |
| Of the People: Voting Is More Effective with Representative Candidates Y Cheng, S Dughmi, D Kempe 18th ACM Conference on Economics and Computation, 305-322, 2017 | 32 | 2017 |
| Well-Supported versus Approximate Nash Equilibria: Query Complexity of Large Games X Chen, Y Cheng, B Tang 8th Innovations in Theoretical Computer Science Conference, 57:1-57:9, 2017 | 32* | 2017 |
| On the Distortion of Voting with Multiple Representative Candidates Y Cheng, S Dughmi, D Kempe 32nd AAAI Conference on Artificial Intelligence, 973–980, 2018 | 27 | 2018 |
| On the Recursive Teaching Dimension of VC Classes X Chen, Y Cheng, B Tang 30th Conference on Neural Information Processing Systems, 2164-2171, 2016 | 24* | 2016 |
| Outlier-Robust Sparse Estimation via Non-Convex Optimization Y Cheng, I Diakonikolas, R Ge, S Gupta, D Kane, M Soltanolkotabi 36th Conference on Neural Information Processing Systems, 7318-7327, 2022 | 23 | 2022 |
| Sparsification of Directed Graphs via Cut Balance R Cen, Y Cheng, D Panigrahi, K Sun 48th International Colloquium on Automata, Languages, and Programming, 45:1 …, 2021 | 21* | 2021 |
| When Samples Are Strategically Selected H Zhang, Y Cheng, V Conitzer 36th International Conference on Machine Learning, 7345-7353, 2019 | 17 | 2019 |
| Automated Mechanism Design for Classification with Partial Verification H Zhang, Y Cheng, V Conitzer 35th AAAI Conference on Artificial Intelligence, 5789-5796, 2021 | 16 | 2021 |
| Playing Anonymous Games using Simple Strategies Y Cheng, I Diakonikolas, A Stewart 28th Annual ACM-SIAM Symposium on Discrete Algorithms, 616-631, 2017 | 16 | 2017 |
| Fair for All: Best-effort Fairness Guarantees for Classification A Krishnaswamy, Z Jiang, K Wang, Y Cheng, K Munagala 24th International Conference on Artificial Intelligence and Statistics …, 2021 | 14 | 2021 |
| A Simple Mechanism for a Budget-Constrained Buyer Y Cheng, N Gravin, K Munagala, K Wang ACM Transactions on Economics and Computation (TEAC) 9 (2), 1-25, 2021 | 13 | 2021 |
Ilias DiakonikolasUniversity of Wisconsin-MadisonVerified email at wisc.edu
