| Adversarial risk bounds via function transformation J Khim, PL Loh arXiv preprint arXiv:1810.09519, 2018 | 115 | 2018 |
| Confidence sets for the source of a diffusion in regular trees J Khim, PL Loh IEEE Transactions on Network Science and Engineering 4 (1), 27-40, 2016 | 58 | 2016 |
| Class-Weighted Classification: Trade-offs and Robust Approaches Z Xu, C Dan, J Khim, P Ravikumar International Conference on Machine Learning, 10544-10554, 2020 | 43 | 2020 |
| Uniform convergence of rank-weighted learning J Khim, L Leqi, A Prasad, P Ravikumar International Conference on Machine Learning, 5254-5263, 2020 | 25 | 2020 |
| Computing and maximizing influence in linear threshold and triggering models JT Khim, V Jog, PL Loh Advances in Neural Information Processing Systems 29, 2016 | 14 | 2016 |
| A theory of maximum likelihood for weighted infection graphs J Khim, PL Loh arXiv preprint arXiv:1806.05273, 2018 | 9 | 2018 |
| Permutation tests for infection graphs J Khim, PL Loh Journal of the American Statistical Association 116 (534), 770-782, 2021 | 8 | 2021 |
| Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches J Kim, L Gong, J Khim, JC Weiss, P Ravikumar Machine Learning for Health, 161-178, 2020 | 8 | 2020 |
| Adversarial Influence Maximization J Khim, V Jog, PL Loh 2019 IEEE International Symposium on Information Theory (ISIT), 1-5, 2019 | 7 | 2019 |
| Statistical Theory for Imbalanced Binary Classification S Singh, J Khim arXiv preprint arXiv:2107.01777, 2021 | 6 | 2021 |
| Optimal Binary Classification Beyond Accuracy S Singh, J Khim Advances in Neural Information Processing Systems, 0 | 6* | |
| Multiclass Classification via Class-Weighted Nearest Neighbors J Khim, Z Xu, S Singh arXiv preprint arXiv:2004.04715, 2020 | 2 | 2020 |
| Testing Infection Graphs JT Khim University of Pennsylvania, 2019 | | 2019 |
| Adversarial risk bounds for binary classification via function transformation J Khim, PL Loh arXiv preprint arXiv:1810.09519 2, 2018 | | 2018 |
