sewoong oh
sewoong oh
Associate Professor, University of Washington
Verified email at cs.washington.edu - Homepage
Title
Cited by
Cited by
Year
Matrix completion from a few entries
RH Keshavan, A Montanari, S Oh
Information Theory, IEEE Transactions on 56 (6), 2980-2998, 2010
11172010
Matrix completion from noisy entries
RH Keshavan, A Montanari, S Oh
The Journal of Machine Learning Research 99, 2057-2078, 2010
6502010
Iterative learning for reliable crowdsourcing systems
DR Karger, S Oh, D Shah
Advances in neural information processing systems, 1953-1961, 2011
5062011
Budget-optimal task allocation for reliable crowdsourcing systems
DR Karger, S Oh, D Shah
Operations Research 62 (1), 1-24, 2014
3192014
Extremal mechanisms for local differential privacy
P Kairouz, S Oh, P Viswanath
Advances in neural information processing systems, 2879-2887, 2014
2162014
The composition theorem for differential privacy
P Kairouz, S Oh, P Viswanath
IEEE Transactions on Information Theory 63 (6), 4037-4049, 2017
208*2017
Iterative ranking from pair-wise comparisons
S Negahban, S Oh, D Shah
Advances in neural information processing systems, 2474-2482, 2012
2052012
Efficient crowdsourcing for multi-class labeling
DR Karger, S Oh, D Shah
Proceedings of the ACM SIGMETRICS/international conference on Measurement …, 2013
1642013
Budget-optimal crowdsourcing using low-rank matrix approximations
DR Karger, S Oh, D Shah
2011 49th Annual Allerton Conference on Communication, Control, and …, 2011
1372011
Provable tensor factorization with missing data
P Jain, S Oh
Advances in Neural Information Processing Systems, 1431-1439, 2014
1352014
Rank centrality: Ranking from pairwise comparisons
S Negahban, S Oh, D Shah
Operations Research 65 (1), 266-287, 2016
1142016
Counting with the crowd
A Marcus, D Karger, S Madden, R Miller, S Oh
Proceedings of the VLDB Endowment 6 (2), 109-120, 2012
1112012
A gradient descent algorithm on the grassman manifold for matrix completion
RH Keshavan, S Oh
arXiv preprint arXiv:0910.5260, 2009
1082009
Communication algorithms via deep learning
H Kim, Y Jiang, R Rana, S Kannan, S Oh, P Viswanath
arXiv preprint arXiv:1805.09317, 2018
962018
Pacgan: The power of two samples in generative adversarial networks
Z Lin, A Khetan, G Fanti, S Oh
Advances in neural information processing systems, 1498-1507, 2018
852018
Demystifying Fixed-Nearest Neighbor Information Estimators
W Gao, S Oh, P Viswanath
IEEE Transactions on Information Theory 64 (8), 5629-5661, 2018
712018
The staircase mechanism in differential privacy
Q Geng, P Kairouz, S Oh, P Viswanath
IEEE Journal of Selected Topics in Signal Processing 9 (7), 1176-1184, 2015
692015
Minimax-optimal inference from partial rankings
B Hajek, S Oh, J Xu
Advances in Neural Information Processing Systems, 1475-1483, 2014
682014
Estimating mutual information for discrete-continuous mixtures
W Gao, S Kannan, S Oh, P Viswanath
Advances in neural information processing systems, 5986-5997, 2017
622017
Achieving budget-optimality with adaptive schemes in crowdsourcing
A Khetan, S Oh
Advances in Neural Information Processing Systems, 4844-4852, 2016
52*2016
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