D. Shah

Stephen P. Boyd, Devavrat Shah, Balaji Prabhakar, 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

Network adiabatic theorem: an efficient randomized protocol for contention resolution

Devavrat Shah, Jinwoo Shin, Shreevatsa Rajagopalan, 2009, SIGMETRICS '09.

Randomized gossip algorithms

Stephen P. Boyd, Devavrat Shah, Balaji Prabhakar, 2006, IEEE Transactions on Information Theory.

Maximizing throughput in wireless networks via gossiping

Eytan Modiano, Devavrat Shah, Gil Zussman, 2006, SIGMETRICS '06/Performance '06.

Understanding & Generalizing AlphaGo Zero

M. Alizadeh, D. Shah, Zhi Xu, 2018 .

Oblivious Routing with Mobile Fusion Centers over a Sensor Network

Devavrat Shah, Sanjay Shakkottai, S. Shakkottai, 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

Capacity-Delay Scaling in Arbitrary Wireless Networks

D. Shah, Ritesh Madan, 2006 .

Maximum weight matching via max-product belief propagation

Devavrat Shah, Mayank Sharma, Mohsen Bayati, 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems

Devavrat Shah, David R. Karger, Sewoong Oh, 2011, Oper. Res..

Iterative Learning for Reliable Crowdsourcing Systems

Devavrat Shah, David R. Karger, Sewoong Oh, 2011, NIPS.

Qualitative properties of alpha-weighted scheduling policies

J. Tsitsiklis, Y. Zhong, D. Shah, 2010, SIGMETRICS.

Randomized scheduling algorithms for high-aggregate bandwidth switches

Paolo Giaccone, Devavrat Shah, Balaji Prabhakar, 2003, IEEE J. Sel. Areas Commun..

Delay bounds for approximate maximum weight matching algorithms for input queued switches

Devavrat Shah, Milind Kopikare, D. Shah, 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

Qualitative properties of α-fair policies in bandwidth-sharing networks

John N. Tsitsiklis, Devavrat Shah, Yuan Zhong, 2014 .

Iterative ranking from pair-wise comparisons

Devavrat Shah, Sewoong Oh, Sahand Negahban, 2012, NIPS.

Ranking: Compare, don't score

Devavrat Shah, Ammar Ammar, D. Shah, 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Randomized Scheduling Algorithm for Queueing Networks pdf

Devavrat Shah, Jinwoo Shin, Jinwoo Shin, 2009, ArXiv.

On Principal Component Regression in a High-Dimensional Error-in-Variables Setting

D. Shah, A. Agarwal, Dennis Shen, 2020, ArXiv.

A Latent Source Model for Online Collaborative Filtering

George H. Chen, Guy Bresler, D. Shah, 2014 .

Fast Distributed Algorithms for Computing

D. Shah, D. Mosk-Aoyama, 2008 .

COUNTING INDEPENDENT SETS USING THE BETHE

Jinwoo Shin, D. Gamarnik, D. Shah, 2011 .

On Computationally Bounded Adverserial Capacity

Kyomin Jung, Devavrat Shah, D. Shah, 2006 .

Low Delay Scheduling in Wireless Network

Kyomin Jung, Devavrat Shah, D. Shah, 2007, 2007 IEEE International Symposium on Information Theory.

Algorithmically Efficient Networks

Kyomin Jung, Devavrat Shah, D. Shah, 2008 .

Is It Luck or Skill: Establishing Role of Skill in Mutual Fund Management and Fantasy Sports

D. Shah, V. Misra, S. V. S. Ranganathan, 2020 .

Lifted Markov Chains for Fast Linear Computation

Jinwoo Shin, D. Shah, Kyomin Jung, 2008 .

2 9 N ov 2 01 4 Learning graphical models from the Glauber dynamics

D. Gamarnik, Guy Bresler, D. Shah, 2014 .

Breaking the simulation barrier: SRAM evaluation through norm minimization

Lara Dolecek, Anantha P. Chandrakasan, Devavrat Shah, 2008, 2008 IEEE/ACM International Conference on Computer-Aided Design.

A Computationally Efficient Method for Learning Exponential Family Distributions pdf

Devavrat Shah, Gregory W. Wornell, Abhin Shah, 2021, NeurIPS.

A New Approach to Modeling Choice

V. Farias, D. Shah, Srikanth Jagabathula, 2010 .

Session details: Sensor and multihop networks

Devavrat Shah, D. Shah, 2010, SIGMETRICS '10.

Scheduling Algorithms for Switched Networks

Devavrat Shah, Damon Wischik, Jean Walrand, 2013 .

Regulating algorithmic filtering on social media pdf

Devavrat Shah, Sarah H. Cen, D. Shah, 2020, NeurIPS.

Gradient Descent for Low-Rank Functions

A. Jadbabaie, D. Shah, A. Makur, 2022, 2206.08257.

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Michael W. Dusenberry, Benjamin D. Trump, Long T. Le, 2022, Proceedings of the National Academy of Sciences of the United States of America.

Network Coding in a Multicast Switch

R. Koetter, A. Eryilmaz, D. Shah, 2007, IEEE Transactions on Information Theory.

Non-Asymptotic Analysis of Monte Carlo Tree Search

D. Shah, Zhi Xu, Qiaomin Xie, 2019, Proceedings of the ACM on Measurement and Analysis of Computing Systems.

On Multivariate Singular Spectrum Analysis and Its Variants

D. Shah, A. Agarwal, Abdullah Alomar, 2020, SIGMETRICS.

On Model Identification and Out-of-Sample Prediction of Principal Component Regression: Applications to Synthetic Controls

D. Shah, A. Agarwal, Dennis Shen, 2020, 2010.14449.

Gradient Descent for Low-Rank Functions

A. Jadbabaie, D. Shah, A. Makur, 2022, ArXiv.

CausalSim: A Causal Inference Framework for Unbiased Trace-Driven Simulation

Pouya Hamadanian, MohammadIman Alizadeh, D. Shah, 2022 .

The High Demand for Internet

B. Prabhakar, D. Shah, P. Giaccone, 2001 .

COUNTERFACTUAL INFERENCE IN SEQUENTIAL EXPERIMENTS BY RAAZ DWIVEDI1,2,

S. Murphy, P. Klasnja, D. Shah, 2022 .

On counterfactual inference with unobserved confounding

D. Shah, G. Wornell, Raaz Dwivedi, 2022, ArXiv.

Source Coding with Mismatched Distortion Measures pdf

Urs Niesen, Devavrat Shah, Gregory W. Wornell, 2008, ArXiv.

On Reinforcement Learning for Turn-based Zero-sum Markov Games

Devavrat Shah, Qiaomin Xie, Zhi Xu, 2020, FODS.

Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality

M. Bayati, D. Shah, M. Sharma, 2008, IEEE Transactions on Information Theory.

Time Varying Regression with Hidden Linear Dynamics

Devavrat Shah, Suvrit Sra, Horia Mania, 2021, L4DC.

Rumors in a Network: Who's the Culprit?

Devavrat Shah, Tauhid Zaman, D. Shah, 2009, IEEE Transactions on Information Theory.

Federated Optimization of Smooth Loss Functions

Devavrat Shah, Anuran Makur, Ali Jadbabaie, 2022, IEEE Transactions on Information Theory.

Gradient-Based Empirical Risk Minimization using Local Polynomial Regression pdf

Devavrat Shah, Anuran Makur, Ali Jadbabaie, 2020, Stochastic Systems.

Adaptive Control of Covid-19 Outbreaks in India: Local, Gradual, and Trigger-Based Exit Paths from Lockdown

Devavrat Shah, Arnab Sarker, Sam Asher, 2020 .

Rank Centrality: Ranking from Pairwise Comparisons

Devavrat Shah, Sewoong Oh, Sahand Negahban, 2012, Oper. Res..

Computing Choice: Learning Distributions over Permutations

Devavrat Shah, D. Shah, Devavrat Shah, 2021 .

Estimation of Skill Distributions pdf

Devavrat Shah, Ali Jadbabaie, Anuran Makur, 2020, ArXiv.

Inferring Sparse Preference Lists from Partial Information

Devavrat Shah, Vivek F. Farias, Srikanth Jagabathula, 2010, Stochastic Systems.

Estimation of Skill Distribution from a Tournament

Devavrat Shah, Anuran Makur, Ali Jadbabaie, 2020, NeurIPS.

Learning Mixed Multinomial Logit Model from Ordinal Data

Devavrat Shah, Sewoong Oh, Sewoong Oh, 2014, NIPS.

What's your choice?: learning the mixed multi-nomial

Devavrat Shah, Sewoong Oh, Ammar Ammar, 2014, SIGMETRICS '14.

Sparse choice models

Devavrat Shah, Vivek F. Farias, Srikanth Jagabathula, 2010, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

Gossip Algorithms

Devavrat Shah, D. Shah, 2009, Found. Trends Netw..

A simple message-passing algorithm for compressed sensing

Devavrat Shah, Gregory W. Wornell, Venkat Chandar, 2010, 2010 IEEE International Symposium on Information Theory.

A locally encodable and decodable compressed data structure

Devavrat Shah, Gregory W. Wornell, Venkat Chandar, 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Community Detection in Networks: The Leader-Follower Algorithm pdf

Devavrat Shah, Tauhid Zaman, D. Shah, 2010, ArXiv.

Distributed Averaging in Dynamic Networks

Devavrat Shah, Shreevatsa Rajagopalan, D. Shah, 2010, IEEE Journal of Selected Topics in Signal Processing.

Causal Imputation via Synthetic Interventions

D. Shah, Caroline Uhler, A. Agarwal, 2020, CLeaR.

Gossip and mixing times of random walks on random graphs

Stephen P. Boyd, Devavrat Shah, Stephen Boyd, 2004, STOC 2004.

Asynchronous Approximation of a Single Component of the Solution to a Linear System

Devavrat Shah, Christina Lee Yu, Asuman Ozdaglar, 2014, IEEE Transactions on Network Science and Engineering.

Solving Systems of Linear Equations: Locally and Asynchronously pdf

Devavrat Shah, Asuman E. Ozdaglar, Christina E. Lee, 2014, ArXiv.

Time Series Predict DB pdf

Muhammad J. Amjad, Devavrat Shah, Abdullah Alomar, 2019, ArXiv.

Model Agnostic Time Series Analysis via Matrix Estimation

Devavrat Shah, Anish Agarwal, Dennis Shen, 2018, Proc. ACM Meas. Anal. Comput. Syst..

Time Series Analysis via Matrix Estimation pdf

Devavrat Shah, Anish Agarwal, Dennis Shen, 2018, ArXiv.

Explaining the Success of Nearest Neighbor Methods in Prediction

Devavrat Shah, George H. Chen, D. Shah, 2018, Found. Trends Mach. Learn..

Mixture Learning from Partial Observations and Its Application to Ranking

D. Shah, Dogyoon Song, Devavrat Shah, 2018 .

Learning RUMs: Reducing Mixture to Single Component via PCA

D. Shah, Dogyoon Song, 2018, 1812.11917.

Monotone Matrix Estimation via Robust Deconvolution

D. Shah, Dogyoon Song, Devavrat Shah, 2018 .

A Nonparametric Approach to Modeling Choice with Limited Data

Devavrat Shah, Vivek F. Farias, Srikanth Jagabathula, 2009, Manag. Sci..

Local Rules for Global MAP: When Do They Work ?

Kyomin Jung, Devavrat Shah, Pushmeet Kohli, 2009, NIPS.

Q-learning with Nearest Neighbors

Devavrat Shah, Qiaomin Xie, D. Shah, 2018, NeurIPS.

Deconvolution with Unknown Error Distribution Interpreted as Blind Isotonic Regression

D. Shah, Dogyoon Song, 2018, 1803.03469.

The Multicast Capacity Region of Large Wireless Networks

Urs Niesen, Devavrat Shah, Piyush Gupta, 2009, IEEE INFOCOM 2009.

Fast Distributed Algorithms for Computing Separable Functions

Devavrat Shah, Damon Mosk-Aoyama, D. Shah, 2005, IEEE Transactions on Information Theory.

Computing separable functions via gossip

Devavrat Shah, Damon Mosk-Aoyama, D. Shah, 2005, PODC '06.

Information Dissemination via Gossip: Applications to Averaging and Coding

Devavrat Shah, Damon Mosk-Aoyama, D. Shah, 2005 .

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators

D. Shah, Zhi Xu, A. Agarwal, 2021, NeurIPS.

Resource Sharing Networks: Overview and an Open Problem

Devavrat Shah, Yang Yang, Chinmoy Mandayam, 2014 .

Log-weight scheduling in switched networks

Devavrat Shah, Damon Wischik, D. Shah, 2012, Queueing Systems.

Fluid models of congestion collapse in overloaded switched networks

Devavrat Shah, Damon Wischik, D. Shah, 2011, Queueing Syst. Theory Appl..

Message-passing in stochastic processing networks

Devavrat Shah, D. Shah, 2011 .

Switched networks with maximum weight policies: Fluid approximation and multiplicative state space collapse pdf

Devavrat Shah, Damon Wischik, D. Shah, 2010, ArXiv.

Qualitative properties of α-weighted scheduling policies pdf

John N. Tsitsiklis, Devavrat Shah, Yuan Zhong, 2010, SIGMETRICS '10.

On the flow-level dynamics of a packet-switched network

Devavrat Shah, Ciamac C. Moallemi, C. Moallemi, 2010, SIGMETRICS '10.

Stochastic Stability Under Fair Bandwidth Allocation : General File Size Distribution

Devavrat Shah, Ao Tang, Mung Chiang, 2006 .

Stable Reinforcement Learning with Unbounded State Space

Devavrat Shah, Qiaomin Xie, Zhi Xu, 2020, L4DC.

Fastpass

Devavrat Shah, Hari Balakrishnan, Jonathan Perry, 2014, SIGCOMM.

On Principal Component Regression in a High-Dimensional Error-in-Variables Setting pdf

Devavrat Shah, Anish Agarwal, Dennis Shen, 2020, ArXiv.

On Robustness of Principal Component Regression

Devavrat Shah, Anish Agarwal, Dogyoon Song, 2019, NeurIPS.

Load balancing with memory

Devavrat Shah, Balaji Prabhakar, Michael Mitzenmacher, 2002, The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings..

Change Point Detection via Multivariate Singular Spectrum Analysis

D. Shah, Arwa Alanqary, Abdullah Alomar, 2021, NeurIPS.

Efficient crowdsourcing for multi-class labeling

Devavrat Shah, David R. Karger, Sewoong Oh, 2013, SIGMETRICS '13.

Budget-optimal crowdsourcing using low-rank matrix approximations

Devavrat Shah, David R. Karger, Sewoong Oh, 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Turbo-charging vertical mining of large databases

Devavrat Shah, S. Sudarshan, Mayank Bawa, 2000, SIGMOD '00.

Interactions Between Learning and Broadcasting in Wireless Recommendation Systems

Christina Fragouli, Devavrat Shah, Linqi Song, 2019, 2019 IEEE International Symposium on Information Theory (ISIT).

Recommender Systems over Wireless: Challenges and Opportunities

Christina Fragouli, Devavrat Shah, Linqi Song, 2018, 2018 IEEE Information Theory Workshop (ITW).

Trading Bitcoin and Online Time Series Prediction

Muhammad J. Amjad, Devavrat Shah, D. Shah, 2016, NIPS Time Series Workshop.

Distributed Averaging Via Lifted Markov Chains

Kyomin Jung, Devavrat Shah, Jinwoo Shin, 2009, IEEE Transactions on Information Theory.

Fast Matching Algorithms for Repetitive Optimization: An Application to Switch Scheduling

Supratim Deb, S. Shakkottai, D. Shah, 2006, 2006 40th Annual Conference on Information Sciences and Systems.

Maximal matching scheduling is good enough

Devavrat Shah, D. Shah, 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

Functional Compression Through Graph Coloring

Devavrat Shah, Muriel Médard, Michelle Effros, 2010, IEEE Transactions on Information Theory.

Reducing Crowdsourcing to Graphon Estimation, Statistically

Devavrat Shah, Christina E. Lee, D. Shah, 2017, AISTATS.

Unifying Framework for Crowd-sourcing via Graphon Estimation

D. Shah, Christina E. Lee, 2017 .

Rumor centrality: a universal source detector

Devavrat Shah, Tauhid Zaman, D. Shah, 2012, SIGMETRICS '12.

Network Coding Meets TCP: Theory and Implementation

Devavrat Shah, Muriel Médard, João Barros, 2011, Proceedings of the IEEE.

Non-Asymptotic Analysis of Monte Carlo Tree Search

Devavrat Shah, Qiaomin Xie, Zhi Xu, 2019, Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems.

Interestingness and Pruning of Mined Patterns

Laks V. S. Lakshmanan, Devavrat Shah, S. Sudarshan, 1999, 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.

Optimal queue-size scaling in switched networks pdf

Devavrat Shah, Yuan Zhong, Neil S. Walton, 2011, SIGMETRICS '12.

Optimal scaling of average queue sizes in an input-queued switch: an open problem

John N. Tsitsiklis, Devavrat Shah, Yuan Zhong, 2011, Queueing Syst. Theory Appl..

Causal Imputation via Synthetic Interventions

Devavrat Shah, Chandler Squires, Anish Agarwal, 2020, CLeaR.

Regret, stability & fairness in matching markets with bandit learners

Sarah H. Cen, D. Shah, 2021, AISTATS.

Iterative Collaborative Filtering for Sparse Matrix Estimation

C. Borgs, J. Chayes, D. Shah, 2017, Operations Research.

Feedback-Based Online Network Coding

Devavrat Shah, Muriel Médard, Parastoo Sadeghi, 2009, IEEE Transactions on Information Theory.

Throughput-delay trade-off in wireless networks

Devavrat Shah, Balaji Prabhakar, Abbas El Gamal, 2004, IEEE INFOCOM 2004.

Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation pdf

Devavrat Shah, Yuzhe Yang, Zhi Xu, 2020, NeurIPS.

CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation

Pouya Hamadanian, MohammadIman Alizadeh, D. Shah, 2022, NSDI.

Counterfactual Identifiability of Bijective Causal Models

MohammadIman Alizadeh, D. Shah, Arash Nasr-Esfahany, 2023, ICML.

mRSC

Vishal Misra, Devavrat Shah, Dennis Shen, 2019, Proc. ACM Meas. Anal. Comput. Syst..

Robust Synthetic Control

Muhammad J. Amjad, Devavrat Shah, Dennis Shen, 2017, J. Mach. Learn. Res..

Centralized Congestion Control and Scheduling in a Datacenter pdf

Devavrat Shah, Qiaomin Xie, D. Shah, 2017, ArXiv.

Flowtune: Flowlet Control for Datacenter Networks

Devavrat Shah, Hari Balakrishnan, Jonathan Perry, 2017, NSDI.

MIT Open Access Articles Fastpass: A Centralized “Zero-Queue” Datacenter Network

D. Shah, H. Balakrishnan, Hans Fugal, 2022 .

Dynamics in congestion games

Devavrat Shah, Jinwoo Shin, Jinwoo Shin, 2010, SIGMETRICS '10.

On counterfactual inference with unobserved confounding

D. Shah, G. Wornell, Raaz Dwivedi, 2022, ArXiv.

Prediction Query Language

Devavrat Shah, Balaji Rengarajan, Vishal Doshi, 2018, 2018 56th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Approaching HGI performance in resource sharing networks

Devavrat Shah, Chinmoy Mandayam, J. Michael Harrison, 2013 .

Spinal codes

Devavrat Shah, Hari Balakrishnan, Peter Iannucci, 2012, CCRV.

De-randomizing Shannon: The Design and Analysis of a Capacity-Achieving Rateless Code pdf

Devavrat Shah, Hari Balakrishnan, Peter Iannucci, 2012, ArXiv.

Uniform Multi-commodity Flow in Wireless Networks with Gaussian Fading Channels

Devavrat Shah, Ritesh Madan, Olivier Lévêque, 2006, 2006 IEEE International Symposium on Information Theory.

Product Multicommodity Flow in Wireless Networks

Devavrat Shah, Ritesh Madan, Olivier Lévêque, 2006, IEEE Transactions on Information Theory.

Synthetic Interventions

D. Shah, A. Agarwal, Dennis Shen, 2020, ArXiv.

Synthetic A/B Testing using Synthetic Interventions

D. Shah, A. Agarwal, Dennis Shen, 2020, 2006.07691.

Model Agnostic High-Dimensional Error-in-Variable Regression pdf

Devavrat Shah, Anish Agarwal, Dogyoon Song, 2019, ArXiv.

Public health implications of opening National Football League stadiums during the COVID-19 pandemic

D. Shah, A. Hosoi, Dennis Shen, 2022, Proceedings of the National Academy of Sciences of the United States of America.

Causal Matrix Completion pdf

Devavrat Shah, Anish Agarwal, Dennis Shen, 2021, COLT.

Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation

Devavrat Shah, Christina Lee Yu, D. Shah, 2019, 2019 IEEE International Symposium on Information Theory (ISIT).

Network Synthetic Interventions: A Framework for Panel Data with Network Interference

Sarah H. Cen, D. Shah, A. Agarwal, 2022, ArXiv.

Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave? pdf

Devavrat Shah, Arnab Sarker, Abdullah Alomar, 2020, ArXiv.

Learning Mixture Model with Missing Values and its Application to Rankings pdf

Devavrat Shah, Dogyoon Song, D. Shah, 2018, ArXiv.

Efficient rank aggregation using partial data

Devavrat Shah, Ammar Ammar, D. Shah, 2012, SIGMETRICS '12.

Counterfactual inference for sequential experimental design

S. Murphy, D. Shah, Raaz Dwivedi, 2022, ArXiv.

A Simpler Max-Product Maximum Weight Matching Algorithm and the Auction Algorithm

Devavrat Shah, Mayank Sharma, Mohsen Bayati, 2006, 2006 IEEE International Symposium on Information Theory.

Loop flattening & spherical sampling: Highly efficient model reduction techniques for SRAM yield analysis

Lara Dolecek, Devavrat Shah, Anantha Chandrakasan, 2010, 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010).

Finding Rumor Sources on Random Trees

Devavrat Shah, Tauhid Zaman, D. Shah, 2011, Oper. Res..

Auditing for Human Expertise

D. Shah, D. Shung, Darrick K. Li, 2023, ArXiv.

Forecasting with Alternative Data

Devavrat Shah, Michael Fleder, Michael Fleder, 2019, Proc. ACM Meas. Anal. Comput. Syst..

Learning sparse Boolean polynomials

Devavrat Shah, Sahand Negahban, S. Negahban, 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Caching in wireless networks

Urs Niesen, Devavrat Shah, Gregory W. Wornell, 2009, 2009 IEEE International Symposium on Information Theory.

Implicit feedback policies for COVID-19: why “zero-COVID” policies remain elusive

A. Jadbabaie, D. Shah, Arnab Sarker, 2023, Scientific Reports.

Current Implicit Policies May Not Eradicate COVID-19

A. Jadbabaie, D. Shah, Arnab Sarker, 2022, arXiv.org.

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Michael W. Dusenberry, Benjamin D. Trump, Michael L. Mayo, 2022, Proceedings of the National Academy of Sciences of the United States of America.

Adaptive Alternating Minimization Algorithms

Urs Niesen, Devavrat Shah, Gregory W. Wornell, 2007, IEEE Transactions on Information Theory.

Fast Updating Algorithms for TCAMs

Devavrat Shah, Pankaj Gupta, D. Shah, 2001, IEEE Micro.

Fast incremental updates on Ternary-CAMs for routing lookups and packet classification

Devavrat Shah, Pankaj Gupta, D. Shah, 2000 .

I Know What You Bought At Chipotle for $9.81 by Solving A Linear Inverse Problem

ShahDevavrat, FlederMichael, Michael Fleder, 2020, SIGMETRICS.

I Know What You Bought At Chipotle for $9.81 by Solving A Linear Inverse Problem

Devavrat Shah, Michael Fleder, Michael Fleder, 2020, Proc. ACM Meas. Anal. Comput. Syst..

Breaking the simulation barrier: SRAM evaluation through norm minimization

D. Shah, A. Chandrakasan, L. Dolecek, 2008, 2008 IEEE/ACM International Conference on Computer-Aided Design.

Bayesian regression and Bitcoin

Devavrat Shah, Kang Zhang, D. Shah, 2014, 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise

M. Dahleh, D. Shah, Abdullah Alomar, 2023, arXiv.org.

tspDB: Time Series Predict DB

D. Shah, A. Agarwal, Abdullah Alomar, 2020, NeurIPS.

Network Scheduling and Message-passing

D. Shah, 2008 .

Network Coding Meets TCP

Devavrat Shah, Muriel Médard, João Barros, 2008, IEEE INFOCOM 2009.

ARQ for network coding

Devavrat Shah, Muriel Médard, Jay Kumar Sundararajan, 2008, 2008 IEEE International Symposium on Information Theory.

Belief Propagation for Min-Cost Network Flow: Convergence and Correctness

Devavrat Shah, David Gamarnik, Yehua Wei, 2010, Oper. Res..

Message-Passing for Wireless Scheduling: An Experimental Study

Paolo Giaccone, Devavrat Shah, D. Shah, 2010, 2010 Proceedings of 19th International Conference on Computer Communications and Networks.

Inferring Rankings Using Constrained Sensing

Devavrat Shah, Srikanth Jagabathula, D. Shah, 2009, IEEE Transactions on Information Theory.

A New Approach to Modeling Choice with Limited Data

Devavrat Shah, Vivek F. Farias, Srikanth Jagabathula, 2009 .

Iterative Scheduling Algorithms

Devavrat Shah, Mayank Sharma, Balaji Prabhakar, 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

Local approximate inference algorithms pdf

Kyomin Jung, Devavrat Shah, D. Shah, 2006, ArXiv.

Max Product for Max-Weight Independent Set and Matching pdf

Devavrat Shah, D. Shah, 2005, ArXiv.

Tightness of LP via Max-product Belief Propagation

Devavrat Shah, Sujay Sanghavi, S. Sanghavi, 2005, cs/0508097.

The Balanced Unicast and Multicast Capacity Regions of Large Wireless Networks

Urs Niesen, Devavrat Shah, Piyush Gupta, 2008, IEEE Transactions on Information Theory.

Optimal Throughput–Delay Scaling in Wireless Networks—Part II: Constant-Size Packets

Devavrat Shah, Balaji Prabhakar, Abbas El Gamal, 2006, IEEE Transactions on Information Theory.

Optimal throughput-delay scaling in wireless networks - part I: the fluid model

Devavrat Shah, Balaji Prabhakar, Abbas El Gamal, 2006, IEEE Transactions on Information Theory.

Approximating the Stationary Probability of a Single State in a Markov chain

A. Ozdaglar, D. Shah, Christina E. Lee, 2013 .

Hardness of parameter estimation in graphical models

Devavrat Shah, David Gamarnik, Guy Bresler, 2014, NIPS.

On Model Identification and Out-of-Sample Prediction of Principal Component Regression: Applications to Synthetic Controls

D. Shah, A. Agarwal, Dennis Shen, 2020, 2010.14449.

Nonasymptotic Analysis of Monte Carlo Tree Search

D. Shah, Zhi Xu, Qiaomin Xie, 2022, Oper. Res..

R ecoverabilty Conditions for Rankings Under Partial Information

D. Shah, Srikanth Jagabathula, 2009 .

Maintaining Statistics Counters in Router Line Cards

Devavrat Shah, Nick McKeown, Balaji Prabhakar, 2002, IEEE Micro.

Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model

Devavrat Shah, Yihua Li, Dogyoon Song, 2017, IEEE Transactions on Information Theory.

Delay optimal queue-based CSMA

Devavrat Shah, Jinwoo Shin, Jinwoo Shin, 2010, SIGMETRICS '10.

Short and Wide Network Paths pdf

Devavrat Shah, Lav R. Varshney, Lavanya Marla, 2019, IEEE Transactions on Network Science and Engineering.

Throughput Region of Finite-Buffered Networks

Paolo Giaccone, Devavrat Shah, Emilio Leonardi, 2007, IEEE Transactions on Parallel and Distributed Systems.

Information Theoretic Bounds for Distributed Computation Over Networks of Point-to-Point Channels

Munther A. Dahleh, Devavrat Shah, Ola Ayaso, 2010, IEEE Transactions on Information Theory.

Distributed computation under bit constraints

Munther A. Dahleh, Devavrat Shah, Ola Ayaso, 2008, 2008 47th IEEE Conference on Decision and Control.

On the maximal throughput of networks with finite buffers and its application to buffered crossbars

Paolo Giaccone, Devavrat Shah, Emilio Leonardi, 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

Message Passing for Maximum Weight Independent Set

Devavrat Shah, Sujay Sanghavi, Alan S. Willsky, 2008, IEEE Transactions on Information Theory.

Fully Distributed Algorithms for Convex Optimization Problems

Tim Roughgarden, Devavrat Shah, Damon Mosk-Aoyama, 2007, SIAM J. Optim..

Counting good truth assignments of random k-SAT formulae

Andrea Montanari, Devavrat Shah, A. Montanari, 2006, SODA '07.

Rateless spinal codes

Devavrat Shah, Hari Balakrishnan, Jonathan Perry, 2011, HotNets-X.

MIT Open Access Articles Rateless spinal codes

D. Shah, H. Balakrishnan, Jonathan Perry, 2022 .

Regret vs. Bandwidth Trade-off for Recommendation Systems pdf

Christina Fragouli, Devavrat Shah, Linqi Song, 2018, ArXiv.