Sewoong Oh – Talks & Slides
A few past talks
PacGAN: the power of two samples for generative adversarial networks
Breaking the bandwidth barrier: local adaptive entropy estimator
Achieving budgetoptimality with adaptive schemes in crowdsourcing
Workshop on Statistical Physics, learning, inference, and networks, Les Houches, France, March 2017
ITA, UCSD, February 2017
Statistics Department, University of Wisconsin, February 2017 – Adaptive Crowdsourcing
CESG teleseminar, Texas A&M, January 2017
NIPS workshop on crowdsourcing, Barcelona, Spain, December 2016 – Adaptive Crowdsourcing
INFORMS, Nashville, TN, November 2016 – Adaptive Crowdsourcing
Machine Learning seminar, USC, October 2016
Spy vs. spy: Rumor source obfuscation

Rumor source obfuscation
A novel approach to designing messaging protocols over social networks that hides the source of a message presented at WNCG seminar, UT Austin, September 2015

Differential privacy
Rank Aggregation from Pairwise Comparisons
Designing Reliable and Efficient Crowdsourcing Systems

Iterative learning for reliable crowdsourcing systems
A novel approach to designing reliable and costefficient crowdsourcing systems presented at
Twentyfifth Conference on Neural Information Processing Systems(NIPS), 2011


Iterative learning from a crowd
Brief presentation of the crowdsourcing model and our learning algorithm at
Interdisciplinary Workshop on Information and Decision in Social Networks(WIDS), 2011

Fast Singular Vector Computation for Extremely Large Matrices

Gossip PCA
Presentation at the ACM SIGMETRICS, 2011

Inferring Lowrank Matrices from Partial Information
