Sewoong Oh

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Pramod ViswanathGilmore Family Endowed Professor of Electrical and Computer Engineering, University of Illinois atVerified email at illinois.edu
Kiran Koshy ThekumparampilAmazon AI, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Andrea MontanariProfessor of Electrical Engineering and Statistics, Stanford UniversityVerified email at stanford.edu
Peter KairouzResearch Scientist, GoogleVerified email at google.com
Sreeram KannanAssociate Professor, University of WashingtonVerified email at uw.edu
Giulia FantiCarnegie Mellon University, ECE DepartmentVerified email at andrew.cmu.edu
Raghunandan KeshavanElectrical Engineering, Stanford UniveristyVerified email at stanford.edu
Ashish KhetanAmazon AIVerified email at illinois.edu
Devavrat ShahMassachusetts Institute of TechnologyVerified email at mit.edu
Prateek JainGoogle Research IndiaVerified email at google.com
Hyeji KimUniversity of Texas at AustinVerified email at austin.utexas.edu
David KargerProfessor of Computer Science, MITVerified email at mit.edu
Yihan JiangAira TechnologyVerified email at uw.edu
Weihao Gao 高伟豪ByteDance IncVerified email at illinois.edu
Praneeth NetrapalliGoogle ResearchVerified email at google.com
Zinan LinCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Ashok Vardhan MakkuvaUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Sahand NegahbanAssociate Professor, Yale UniversityVerified email at yale.edu
Amin KarbasiYale UniversityVerified email at yale.edu
Weihao KongGoogleVerified email at google.com

Sewoong Oh

Paul G. Allen School of Computer Science and Engineering, University of Washington

Verified email at cs.washington.edu - Homepage

Machine Learning Privacy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Matrix completion from a few entries RH Keshavan, A Montanari, S Oh IEEE transactions on information theory 56 (6), 2980-2998, 2010	1350	2010
Iterative learning for reliable crowdsourcing systems D Karger, S Oh, D Shah Advances in neural information processing systems 24, 2011	929*	2011
Matrix completion from noisy entries R Keshavan, A Montanari, S Oh Advances in neural information processing systems 22, 2009	773	2009
The composition theorem for differential privacy P Kairouz, S Oh, P Viswanath International conference on machine learning, 1376-1385, 2015	427	2015
Iterative ranking from pair-wise comparisons S Negahban, S Oh, D Shah Advances in neural information processing systems 25, 2012	419	2012
Extremal mechanisms for local differential privacy P Kairouz, S Oh, P Viswanath Advances in neural information processing systems 27, 2014	414	2014
Pacgan: The power of two samples in generative adversarial networks Z Lin, A Khetan, G Fanti, S Oh Advances in neural information processing systems 31, 2018	235	2018
Attention-based graph neural network for semi-supervised learning KK Thekumparampil, C Wang, S Oh, LJ Li arXiv preprint arXiv:1803.03735, 2018	231	2018
Efficient crowdsourcing for multi-class labeling DR Karger, S Oh, D Shah Proceedings of the ACM SIGMETRICS/international conference on Measurement …, 2013	202	2013
Provable tensor factorization with missing data P Jain, S Oh Advances in Neural Information Processing Systems 27, 2014	196	2014
Communication algorithms via deep learning H Kim, Y Jiang, R Rana, S Kannan, S Oh, P Viswanath arXiv preprint arXiv:1805.09317, 2018	178	2018
Budget-optimal crowdsourcing using low-rank matrix approximations DR Karger, S Oh, D Shah 2011 49th Annual Allerton Conference on Communication, Control, and …, 2011	164	2011
Estimating mutual information for discrete-continuous mixtures W Gao, S Kannan, S Oh, P Viswanath Advances in neural information processing systems 30, 2017	137	2017
Demystifying Fixed -Nearest Neighbor Information Estimators W Gao, S Oh, P Viswanath IEEE Transactions on Information Theory 64 (8), 5629-5661, 2018	131	2018
A gradient descent algorithm on the grassman manifold for matrix completion RH Keshavan, S Oh arXiv preprint arXiv:0910.5260, 2009	131	2009
Counting with the crowd A Marcus, D Karger, S Madden, R Miller, S Oh Proceedings of the VLDB Endowment 6 (2), 109-120, 2012	130	2012
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	124	2015
Efficient algorithms for smooth minimax optimization KK Thekumparampil, P Jain, P Netrapalli, S Oh Advances in Neural Information Processing Systems 32, 2019	122	2019
Minimax-optimal inference from partial rankings B Hajek, S Oh, J Xu Advances in Neural Information Processing Systems 27, 2014	97	2014
Deepcode: Feedback codes via deep learning H Kim, Y Jiang, S Kannan, S Oh, P Viswanath IEEE Journal on Selected Areas in Information Theory 1 (1), 194-206, 2020	94	2020

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