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Justin Khim
Justin Khim
Applied scientist at Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
Adversarial risk bounds via function transformation
J Khim, PL Loh
arXiv preprint arXiv:1810.09519, 2018
1062018
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
532016
Class-Weighted Classification: Trade-offs and Robust Approaches
Z Xu, C Dan, J Khim, P Ravikumar
International Conference on Machine Learning, 10544-10554, 2020
382020
Uniform convergence of rank-weighted learning
J Khim, L Leqi, A Prasad, P Ravikumar
International Conference on Machine Learning, 5254-5263, 2020
222020
Computing and maximizing influence in linear threshold and triggering models
JT Khim, V Jog, PL Loh
Advances in Neural Information Processing Systems 29, 2016
142016
A theory of maximum likelihood for weighted infection graphs
J Khim, PL Loh
arXiv preprint arXiv:1806.05273, 2018
92018
Permutation tests for infection graphs
J Khim, PL Loh
Journal of the American Statistical Association 116 (534), 770-782, 2021
82021
Statistical Theory for Imbalanced Binary Classification
S Singh, J Khim
arXiv preprint arXiv:2107.01777, 2021
62021
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
62020
Adversarial Influence Maximization
J Khim, V Jog, PL Loh
2019 IEEE International Symposium on Information Theory (ISIT), 1-5, 2019
62019
Optimal Binary Classification Beyond Accuracy
S Singh, J Khim
Advances in Neural Information Processing Systems, 0
5*
Multiclass Classification via Class-Weighted Nearest Neighbors
J Khim, Z Xu, S Singh
arXiv preprint arXiv:2004.04715, 2020
22020
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
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