Community Detection, Clustering
"Optimal Sampling and Clustering in the Stochastic Block Model" with Alexandre Proutiere, NeurIPS2019
"Optimal Cluster Recovery in the Labeled Stochastic Block Model" with Alexandre Proutiere, NIPS2016 arXiv
"Streaming, Memory Limited Algorithms for Community Detection" with Marc Lelarge and Alexandre Proutiere, NIPS 2014
"Community Detection via Random and Adaptive Sampling" with Alexandre Proutiere, COLT 2014
"Low Rank Approximation for Streaming and Distributed Data" with Jaeseong Jeong and Alexandre Proutiere (submitted)
"Fast and Memory Optimal Low-Rank Matrix Approximation" with Marc Lelarge and Alexandre Proutiere, NIPS 2015
"Parameter Estimation for Generalized Thurstone Choice Models" with Milan Vojnovic, ICML2016
"Reinforcement with fading memories" with Kuang Xu, forthcoming in Mathematics of Operations Research (2019).
Preliminary version: Proceedings of ACM SIGMETRICS 2018.
"Sketching with Test Scores and Submodular Maximization" with Shreyas Sekar and Milan Vojnovic, (submitted) arXiv
MCMC, BP, Graphical Model
"Spectral Approximate Inference" with Sejun Park, Eunho Yang, and Jinwoo Shin, ICML 2019
"Distributed Coordination Maximization over Networks: A Stochastic Approximation Approach", with Hyeryung Jang, Jinwoo Shin, and Yung Yi, MobiHoc 2016
"Distributed Medium Access over Time-varying Channels", with Jinwoo Shin and Yung Yi, IEEE/ACM ToN
"CSMA using the Bethe Approximation: Scheduling and Utility Maximization" with Jinwoo Shin and Yung Yi, IEEE ToI