Devavrat Shah

Devavrat Shah is a professor in the Electrical Engineering and Computer Science department at MIT. He is director of the Statistics and Data Science Center at MIT. He received a B.Tech. degree in computer science from IIT Bombay in 1999 and a Ph.D. in computer science from Stanford University in 2004, where his thesis was completed under the supervision of Balaji Prabhakar. Provided by Wikipedia
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  1. 1
    I Know What You Bought At Chipotle for 9.81 by Solving A Linear Inverse Problem

    I Know What You Bought At Chipotle for 9.81 by Solving A Linear Inverse Problem by Fleder, Michael, Devavrat Shah

    Published 2022
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    Article
  2. 2
    Implicit feedback policies for COVID-19: why “zero-COVID” policies remain elusive

    Implicit feedback policies for COVID-19: why “zero-COVID” policies remain elusive by Ali Jadbabaie, Arnab Sarker, Devavrat Shah

    Published 2023-02-01
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    Article
  3. 3
    On queue-size scaling for input-queued switches

    On queue-size scaling for input-queued switches by Devavrat Shah, John N. Tsitsiklis, Yuan Zhong

    Published 2016-11-01
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    Article
  4. 4
    Resource sharing networks: Overview and an open problem

    Resource sharing networks: Overview and an open problem by J. Michael Harrison, Chinmoy Mandayam, Devavrat Shah, Yang Yang

    Published 2015-03-01
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    Article
  5. 5
    Low-Rank Gradient Descent

    Low-Rank Gradient Descent by Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah

    Published 2023-01-01
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    Article
  6. 6
    Partition-Merge: Distributed Inference and Modularity Optimization

    Partition-Merge: Distributed Inference and Modularity Optimization by Vincent Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah, Seungpil Won

    Published 2021-01-01
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    Article
  7. 7
    Inventory estimation from transactions via hidden Markov models

    Inventory estimation from transactions via hidden Markov models by Bhan, Nirav

    Published 2016
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  8. 8
    Blind regression : nonparametric regression for latent variable models via collaborative filtering

    Blind regression : nonparametric regression for latent variable models via collaborative filtering by Song, Dogyoon

    Published 2016
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  9. 9
    Blind regression : understanding collaborative filtering from matrix completion to tensor completion

    Blind regression : understanding collaborative filtering from matrix completion to tensor completion by Li, Yihua, M. Eng. Massachusetts Institute of Technology

    Published 2016
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  10. 10
    Time series formalism : a systems approach

    Time series formalism : a systems approach by Ayyaz, Usman

    Published 2017
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  11. 11
    Exploration vs. exploitation in coupon personalization

    Exploration vs. exploitation in coupon personalization by Atwi, Aliaa

    Published 2018
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  12. 12
    Robust synthetic control

    Robust synthetic control by Shen, Dennis, Ph. D. Massachusetts Institute of Technology

    Published 2018
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    Thesis
  13. 13
    Investigation of connection between deep learning and probabilistic graphical models

    Investigation of connection between deep learning and probabilistic graphical models by Hager, Paul Andrew

    Published 2018
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  14. 14
    Messaging for large-scale distributed computation with factor graphs

    Messaging for large-scale distributed computation with factor graphs by Ramesh, Vinayak

    Published 2018
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  15. 15
    Sequential data inference via matrix estimation : causal inference, cricket and retail

    Sequential data inference via matrix estimation : causal inference, cricket and retail by Amjad, Muhammad Jehangir

    Published 2019
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  16. 16
    Forecasting financials and discovering menu prices with alternative data

    Forecasting financials and discovering menu prices with alternative data by Fleder, Michael(Michael S.)

    Published 2020
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  17. 17
    Estimating lower bounds for time series prediction error

    Estimating lower bounds for time series prediction error by Rho, Saeyoung.

    Published 2021
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  18. 18
    Scheduling algorithms for arbitrary communication networks

    Scheduling algorithms for arbitrary communication networks by Jagabathula, Srikanth

    Published 2009
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  19. 19
    Approximate inference : decomposition methods with applications to networks

    Approximate inference : decomposition methods with applications to networks by Jung, Kyomin

    Published 2010
    Other Authors: “…Devavrat Shah.…”
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    Thesis
  20. 20
    Distributed averaging in dynamic networks

    Distributed averaging in dynamic networks by Rajagopalan, Shreevatsa

    Published 2011
    Other Authors: “…Devavrat Shah.…”
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    Thesis

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