2020
Is It Luck or Skill: Establishing Role of Skill in Mutual Fund Management and Fantasy Sports
by
Vishal Misra, Devavrat Shah, and Sudarsan V. S. Ranganathan
2018
Leaders, Followers and Community Detection
by
D. Parthasarthy, D. Shah, T. Zaman
2018
Q-learning with Nearest Neighbors
by
Shah, Devavrat and Xie, Qiaomin
arXiv preprint arXiv:1802.03900, 2018
2018
Reducing Crowdsourcing to Graphon Estimation, Statistically
by
Shah, Devavrat and Yu, Christina Lee
Proceedings of AISTAT, 2018.
2018
Time Series Analysis via Matrix Estimation
by
A. Agarwal, M. Amjad, D. Shah and D. Shen
2018
Explaining the Success of Nearest Neighbor Methods in Prediction
by
George Chen, Devavrat Shah
Foundation and Trends in Machine Learning. Now Publishers. Forthcoming.
2018
Partition-Merge: Distributed Inference and Modularity Optimization
Submitted to JMLR (under review).
2018
Monotone Matrix Estimation via Robust Deconvolution
ArXiv preprint arXiv:1803.03469
2017
Feedback-Based Online Network Coding
by
J. K. Sundararajan, D. Shah, M. Médard, P. Sadeghi
IEEE Transactions on Information Theory, Volume 63, no. 10, pp. 6628-6649, October 2017
2017
Centralized Congestion Control and Scheduling in a Datacenter
arXiv preprint arXiv:1710.02548, 2017
2017
Learning graphical models from the Glauber dynamics
by
G Bresler, D Gamarnik, D Shah
IEEE Transactions on Information Theory.
2017
Blind Regression via Nearest Neighbors under Latent Variable Models
by
C Lee, Y Li, D Shah, D Song
arXiv preprint arXiv:1705.04867
2017
Unifying Framework for Crowd-sourcing via Graphon Estimation
arXiv preprint arXiv:1703.08085
2017
Flowtune: Flowlet Control for Datacenter Networks
by
J. Perry, H. Balakrishnan, D. Shah
14th {USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 17), pp. 421-435
2017
Building Optimized and Hyperlocal Product Assortments: A Nonparametric Choice Approach
by
V.F. Farias, S. Jagabathula, D. Shah
(January 24, 2017). Available at SSRN: https://ssrn.com/abstract=2905381 or http://dx.doi.org/10.2139/ssrn.2905381
2017
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
by
Borgs, Christian and Chayes, Jennifer and Lee, Christina E. and Shah, Devavrat
In I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett (ed.): Advances in Neural Information Processing Systems 30, Curran Associates, Inc.: 4715—4726, 2017
2017
Censored Demand Estimation in Retail
by
Amjad, Muhammad J and Shah, Devavrat
Proceedings of the ACM on Measurement and Analysis of Computing Systems, 1(2): 31, 2017
2017
Iterative Collaborative Filtering for Sparse Matrix Estimation
by
Christian Borgs, Jennifer Chayes, Christina E. Lee, Devavrat Shah
arXiv preprint arXiv:1712.00710
2016
Finding rumor sources on random trees
Operations Research, Volume 64, No. 3, pp. 736 – 755, 2016
2016
Rank Centrality: Ranking from Pairwise comparisons
by
S. Negahban., S. Oh, D. Shah
Operations Research, Volume 65, No. 1, pp. 266-287, 2016
2016
On queue-size scaling for input-queued switches
by
D. Shah, J. N. Tsitsiklis and Y. Zhong
Stochastic Systems, Volume 6, No.1, pp. 1-25, 2016
2016
Trading Bitcoins and Online Time Series Prediction
NIPS 2016 Time Series Workshop, pp. 1 -15
2016
Blind regression: Nonparametric regression for latent variable models via collaborative filtering
by
D. Song, C.E. Lee, Y. Li, D. Shah
Advances in Neural Information Processing Systems, pp. 2155-2163
2016
Collaborative filtering with low regret
by
G. Bresler, D. Shah, L.F. Voloch
Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, pp. 207-220
2015
A Latent Source Model for Patch-Based Image Segmentation
by
G.H. Chen, D. Shah, P. Golland
International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 140-148
2015
Regret Guarantees for Item-Item Collaborative Filtering
by
G. Bresler, D. Shah, L.F. Voloch
2015
Fastpass: A centralized zero-queue datacenter network
by
J. Perry, A. Ousterhout, H. Balakrishnan, D. Shah
ACM SIGCOMM Computer Communication Review – SIGCOMM’14, Volume 44 Issue 4, pp. 307-318
2014
Optimal queue-size scaling in switched networks
by
Shah D., N. S. Walton and Y. Zhong
The Annals of Applied Probability, Volume 24, No. 6, pp. 2207-2245, 2014
2014
Qualitative properties of alpha-fair policies in bandwidth-sharing networks
by
D. Shah, J. N. Tsitsikli, Y. Zhong
The Annals of Applied Probability, Volume 24, No. 1, pp. 76-113, 2014
