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All publications by Sewoong Oh
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The Composition Theorem for Differential Privacy
Peter Kairouz, Sewoong Oh and Pramod Viswanath
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Secure Multi-party Differential Privacy
Peter Kairouz, Sewoong Oh and Pramod Viswanath
Advances in Neural Information Processing Systems 28, 2015


Collaboratively Learning Preferences from Ordinal Data
Sewoong Oh, Kiran K. Thekumparampil and Jiaming Xu
Advances in Neural Information Processing Systems 28, 2015


Provable Tensor Factorization with Missing Data
Prateek Jain and Sewoong Oh
Advances in Neural Information Processing Systems 27, 2014


Extremal Mechanisms for Local Differential Privacy
Peter Kairouz, Sewoong Oh and Pramod Viswanath
Advances in Neural Information Processing Systems 27, 2014


Minimax-optimal Inference from Partial Rankings
Bruce Hajek, Sewoong Oh and Jiaming Xu
Advances in Neural Information Processing Systems 27, 2014


Learning Mixed Multinomial Logit Model from Ordinal Data
Sewoong Oh and Devavrat Shah
Advances in Neural Information Processing Systems 27, 2014


Iterative ranking from pair-wise comparisons
Sahand Negahban, Sewoong Oh and Devavrat Shah
Advances in Neural Information Processing Systems 25, 2012


Iterative Learning for Reliable Crowdsourcing Systems
David R. Karger, Sewoong Oh and Devavrat Shah
Advances in Neural Information Processing Systems 24, 2011


Matrix Completion from Noisy Entries
Raghunandan Keshavan, Andrea Montanari and Sewoong Oh
Advances in Neural Information Processing Systems 22, 2009