Publication Type: Conference proceedings

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Blind regression: Nonparametric regression for latent variable models via collaborative filtering

Advances in Neural Information Processing Systems, pp. 2155-2163
D. Song, C.E. Lee, Y. Li, D. Shah
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Local Algorithms for Approximate Inference in Minor-Excluded Graphs

Advances in Neural Information Processing Systems, pp. 729-736, 2008
K. Jung, D. Shah
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Approximate message-passing inference algorithm

2007 IEEE Information Theory Workshop, Tahoe City, CA, 2007, pp. 224-229
K. Jung, D. Shah
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Computing the Stationary Distribution Locally

Advances in Neural Information Processing Systems, pp. 1376-1384, 2013
C.E. Lee, A. Ozdaglar, D. Shah
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Hardness of parameter estimation in graphical models

Advances in Neural Information Processing Systems 27, pp. 1062-1070
G. Bresler, D. Gamarnik, D. Shah
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Efficient rank aggregation using partial data

ACM SIGMETRICS Performance Evaluation Review, Volume 40, Issue 1, pp.355-366
A. Ammar, D. Shah
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The use of memory in randomized load balancing

Proceedings IEEE International Symposium on Information Theory, 2002, pp. 125
D. Shah, B. Prabhakar
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Optimal queue-size scaling in switched networks

ACM SIGMETRICS Performance Evaluation Review, Volume 40, Issue 1, pp.17-28
D. Shah, N. Walton, Y. Zhong
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Structure learning of antiferromagnetic Ising models

Advances in Neural Information Processing Systems, pp. 2852-2860
G. Bresler, D. Gamarnik, D. Shah
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Source Coding with Distortion through Graph Coloring

2007 IEEE International Symposium on Information Theory, Nice, 2007, pp. 1501-1505
V. Doshi, D. Shah, M. Médard
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Stable algorithms for input queued switches

Proceedings of the Annual Allerton Conference on Communication, Control, and Computing, Volume 39: No.2, 2001, p.1108
D. Shah
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A Data-Driven Approach to Modeling Choice

Advances in Neural Information Processing Systems, 2009, pp.504-512
V. Farias, S. Jagabathula, D. Shah
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Fully distributed algorithms for convex optimization problems

Proceedings of International Symposium on distributed computing (Lecture Notes in Computer Science), Volume 4731, pp. 492-499, September 2007.
D. Mosk-Aoyama, T. Roughgarden, D. Shah
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Learning Mixed Multinomial Logit Model from Ordinal Data

Advances in Neural Information Processing Systems, pp. 593-603
S. Oh, D. Shah
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Counting good truth assignments of random k-SAT formulae

Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, New Orleans, Louisiana, pp. 1255-1264
A. Montanari, D. Shah
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Revisiting stochastic loss networks: structures and algorithms

ACM SIGMETRICS Performance Evaluation Review, Volume 36, Issue 1, pp. 407-418
K. Jung, Y. Lu, D. Shah, M. Sharma, M.S. Squillante
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Fair scheduling in input-queued switches under inadmissible traffic

Global Telecommunications Conference, 2004. GLOBECOM '04. IEEE, 2004, Volume 3, pp. 1713-1717
N. Kumar, R. Pan, D. Shah
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Rank centrality: Ranking from pair-wise comparisons

arXiv preprint arXiv:1209.1688
S. Negahban, S. Oh, D. Shah
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A Simpler Max-Product Maximum Weight Matching Algorithm and the Auction Algorithm

2006 IEEE International Symposium on Information Theory, Seattle, WA, 2006, pp. 557-561
M. Bayati, D. Shah, M. Sharma
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Switch Scheduling via Randomized Edge Coloring

44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings., 2003, pp. 502-512.
G. Aggarwal, R. Motwani, D. Shah, An Zhu
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