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Devavrat Shah

Massachusetts Institute of Technology · US
Area of research
Computer Networks and Communications · Electrical and Electronic Engineering
Research interest
Research interests include Computer science, Computer network, Crowdsourcing, Rumor, Centrality, and Estimator.
h-index
citations
1,862
works
23
NIH funding
primary concept
email

Recent publications

Implicit feedback policies for COVID-19: why “zero-COVID” policies remain elusive
Scientific Reports 2023cited by 4position: lastdoi
On Multivariate Singular Spectrum Analysis and Its Variants
ACM SIGMETRICS Performance Evaluation Review 2022cited by 11position: lastdoi
On Multivariate Singular Spectrum Analysis and Its Variants
2022cited by 5position: lastdoi
Partition-Merge: Distributed Inference and Modularity Optimization
IEEE Access 2021cited by 1position: middledoi
Model Agnostic Time Series Analysis via Matrix Estimation
ACM SIGMETRICS Performance Evaluation Review 2019cited by 2position: middledoi
mRSC
ACM SIGMETRICS Performance Evaluation Review 2019cited by 1position: middledoi
Explaining the Success of Nearest Neighbor Methods in Prediction
Foundations and Trends® in Machine Learning 2018cited by 98position: lastdoi
Feedback-Based Online Network Coding
IEEE Transactions on Information Theory 2017cited by 56position: middledoi
Finding Rumor Sources on Random Trees
Operations Research 2016cited by 80position: firstdoi
Collaborative Filtering with Low Regret
2016cited by 11position: middledoi
Collaborative Filtering with Low Regret
ACM SIGMETRICS Performance Evaluation Review 2016cited by 8position: middledoi
Fastpass
2014cited by 401position: middledoi
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems
Operations Research 2014cited by 316position: lastdoi
Bayesian regression and Bitcoin
2014cited by 162position: firstdoi
Fastpass
ACM SIGCOMM Computer Communication Review 2014cited by 115position: middledoi
What's your choice?
2014cited by 9position: middledoi
What's your choice?
ACM SIGMETRICS Performance Evaluation Review 2014cited by 7position: middledoi
Efficient crowdsourcing for multi-class labeling
2013cited by 103position: lastdoi
Efficient crowdsourcing for multi-class labeling
ACM SIGMETRICS Performance Evaluation Review 2013cited by 56position: lastdoi
Rumor centrality
2012cited by 127position: firstdoi
Randomized scheduling algorithm for queueing networks
The Annals of Applied Probability 2012cited by 127position: firstdoi
Caching in Wireless Networks
IEEE Transactions on Information Theory 2012cited by 102position: middledoi
Rumor centrality
ACM SIGMETRICS Performance Evaluation Review 2012cited by 60position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Sewoong Oh · University of Illinois Urbana-Champaign5 papers (2013–2014)Luis Voloch · IIT@MIT4 papers (2014–2016)Tauhid Zaman · Massachusetts Institute of Technology3 papers (2012–2016)David R. Karger · IIT@MIT3 papers (2013–2014)Muhammad Jehangir Amjad · IIT@MIT2 papers (2019–2019)Anish Agarwal · Massachusetts Institute of Technology2 papers (2019–2022)Guy Bresler · Massachusetts Institute of Technology2 papers (2016–2016)Ammar Ammar · IIT@MIT2 papers (2014–2014) · 2 papers (2014–2014)Jonathan Perry · IIT@MIT2 papers (2014–2014)Dennis Shen · IIT@MIT2 papers (2019–2019)Abdullah Alomar · IIT@MIT2 papers (2022–2022)Hari Balakrishnan · Massachusetts Institute of Technology2 papers (2014–2014)Amy Ousterhout · University of California, Berkeley2 papers (2014–2014)Arnab Sarker · IIT@MIT1 papers (2023–2023)Gregory W. Wornell · Massachusetts Institute of Technology1 papers (2012–2012)Parastoo Sadeghi · Australian National University1 papers (2017–2017)Urs Niesen · Massachusetts Institute of Technology1 papers (2012–2012)Vincent D. Blondel · Massachusetts Institute of Technology1 papers (2021–2021)Muriel Médard · Massachusetts Institute of Technology1 papers (2017–2017)