Devavrat Shah - RankMe

332 papers A* 56A 6B 29Misc 9Journal 172Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Synthetic Interventions: Extending Synthetic Controls to Multiple Treatments. Oper. Res. Anish Agarwal, Devavrat Shah, Dennis Shen
2025	J	`jnl`	A Causal Inference Framework for Data Rich Environments. CoRR Alberto Abadie, Anish Agarwal, Devavrat Shah
2025	J	`jnl`	Estimating Ground Reaction Forces From Inertial Sensors. IEEE Trans. Biomed. Eng. Bowen Song, Marco Paolieri, Harper Stewart, Leana Golubchik, Jill L. McNitt-Gray, Vishal Misra, Devavrat Shah
2025	J	`jnl`	Explaining the Success of Nearest Neighbor Methods in Prediction. CoRR George H. Chen, Devavrat Shah
2025	J	`jnl`	Fairness Is More Than Algorithms: Racial Disparities in Time-to-Recidivism. CoRR Jessy Xinyi Han, Kristjan Greenewald, Devavrat Shah
2025	J	`jnl`	On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls. J. Mach. Learn. Res. Anish Agarwal, Devavrat Shah, Dennis Shen
2025	J	`jnl`	Synthetic Survival Control: Extending Synthetic Controls for "When-If" Decision. CoRR Jessy Xinyi Han, Devavrat Shah
2025	J	`jnl`	The Impossibility of Inverse Permutation Learning in Transformer Models. CoRR Rohan Alur, Chris Hays, Manish Raghavan, Devavrat Shah
2024	—	`conf`	A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems. AIES (1) Jessy Xinyi Han, Andrew Cesare Miller, S. Craig Watkins, Christopher Winship, Fotini Christia, Devavrat Shah
2024	J	`jnl`	A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems. CoRR Jessy Xinyi Han, Andrew Cesare Miller, S. Craig Watkins, Christopher Winship, Fotini Christia, Devavrat Shah
2024	J	`jnl`	Distinguishing the Indistinguishable: Human Expertise in Algorithmic Prediction. CoRR Rohan Alur, Manish Raghavan, Devavrat Shah
2024	J	`jnl`	Estimation of Skill Distributions. IEEE Trans. Inf. Theory Ali Jadbabaie, Anuran Makur, Devavrat Shah
2024	J	`jnl`	Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning. CoRR Jia Wan, Sean R. Sinclair, Devavrat Shah, Martin J. Wainwright
2024	A*	`conf`	Human Expertise in Algorithmic Prediction. NeurIPS Rohan Alur, Manish Raghavan, Devavrat Shah
2024	J	`jnl`	Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework. CoRR Rohan Alur, Loren Laine, Darrick K. Li, Dennis L. Shung, Manish Raghavan, Devavrat Shah
2024	J	`jnl`	Unifying Epidemic Models With Mixtures. IEEE Trans. Signal Inf. Process. over Networks Arnab Sarker, Ali Jadbabaie, Devavrat Shah
2023	J	`jnl`	A User-Driven Framework for Regulating and Auditing Social Media. CoRR Sarah H. Cen, Aleksander Madry, Devavrat Shah
2023	A*	`conf`	Auditing for Human Expertise. NeurIPS Rohan Alur, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah, Dennis L. Shung
2023	J	`jnl`	Auditing for Human Expertise. CoRR Rohan Alur, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah, Dennis L. Shung
2023	A*	`conf`	Causal Matrix Completion. COLT Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dennis Shen
2023	Misc	`conf`	CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation. NSDI Abdullah Omar Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah
2023	A*	`conf`	Counterfactual Identifiability of Bijective Causal Models. ICML Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
2023	J	`jnl`	Counterfactual Identifiability of Bijective Causal Models. CoRR Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah
2023	J	`jnl`	Exploiting Observation Bias to Improve Matrix Completion. CoRR Sean Mann, Charlotte Park, Devavrat Shah
2023	J	`jnl`	Federated Optimization of Smooth Loss Functions. IEEE Trans. Inf. Theory Ali Jadbabaie, Anuran Makur, Devavrat Shah
2023	—	`conf`	Gradient Descent with Low-Rank Objective Functions. CDC Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
2023	A*	`conf`	Matrix Estimation for Individual Fairness. ICML Cindy Y. Zhang, Sarah Huiyi Cen, Devavrat Shah
2023	J	`jnl`	Matrix Estimation for Individual Fairness. CoRR Cindy Y. Zhang, Sarah Huiyi Cen, Devavrat Shah
2023	J	`jnl`	On Computationally Efficient Learning of Exponential Family Distributions. CoRR Abhin Shah, Devavrat Shah, Gregory W. Wornell
2023	J	`jnl`	Predicting Ground Reaction Force from Inertial Sensors. CoRR Bowen Song, Marco Paolieri, Harper E. Stewart, Leana Golubchik, Jill L. McNitt-Gray, Vishal Misra, Devavrat Shah
2023	J	`jnl`	Robust Max Entrywise Error Bounds for Tensor Estimation From Sparse Observations via Similarity-Based Collaborative Filtering. IEEE Trans. Inf. Theory Devavrat Shah, Christina Lee Yu
2023	A*	`conf`	SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise. NeurIPS Abdullah Omar Alomar, Munther A. Dahleh, Sean Mann, Devavrat Shah
2023	J	`jnl`	SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise. CoRR Abdullah Omar Alomar, Munther A. Dahleh, Sean Mann, Devavrat Shah
2022	—	`conf`	Causal Imputation via Synthetic Interventions. CLeaR Chandler Squires, Dennis Shen, Anish Agarwal, Devavrat Shah, Caroline Uhler
2022	J	`jnl`	CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols. CoRR Abdullah Omar Alomar, Pouya Hamadanian, Arash Nasr-Esfahany, Anish Agarwal, Mohammad Alizadeh, Devavrat Shah
2022	J	`jnl`	Counterfactual inference for sequential experimental design. CoRR Raaz Dwivedi, Susan A. Murphy, Devavrat Shah
2022	J	`jnl`	Current Implicit Policies May Not Eradicate COVID-19. CoRR Ali Jadbabaie, Arnab Sarker, Devavrat Shah
2022	J	`jnl`	Doubly robust nearest neighbors in factor models. CoRR Raaz Dwivedi, Katherine Tian, Sabina Tomkins, Predrag V. Klasnja, Susan A. Murphy, Devavrat Shah
2022	J	`jnl`	Federated Optimization of Smooth Loss Functions. CoRR Ali Jadbabaie, Anuran Makur, Devavrat Shah
2022	J	`jnl`	Gradient Descent for Low-Rank Functions. CoRR Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
2022	J	`jnl`	Iterative Collaborative Filtering for Sparse Matrix Estimation. Oper. Res. Christian Borgs, Jennifer T. Chayes, Devavrat Shah, Christina Lee Yu
2022	J	`jnl`	Network Synthetic Interventions: A Framework for Panel Data with Network Interference. CoRR Anish Agarwal, Sarah H. Cen, Devavrat Shah, Christina Lee Yu
2022	J	`jnl`	Nonasymptotic Analysis of Monte Carlo Tree Search. Oper. Res. Devavrat Shah, Qiaomin Xie, Zhi Xu
2022	—	`conf`	On Multivariate Singular Spectrum Analysis and Its Variants. SIGMETRICS (Abstracts) Anish Agarwal, Abdullah Omar Alomar, Devavrat Shah
2022	J	`jnl`	On counterfactual inference with unobserved confounding. CoRR Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory W. Wornell
2022	A	`conf`	Regret, stability & fairness in matching markets with bandit learners. AISTATS Sarah Huiyi Cen, Devavrat Shah
2022	J	`jnl`	Short and Wide Network Paths. IEEE Trans. Netw. Sci. Eng. Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale
2022	—	`conf`	Time Varying Regression with Hidden Linear Dynamics. L4DC Horia Mania, Ali Jadbabaie, Devavrat Shah, Suvrit Sra
2022	J	`jnl`	Unifying Epidemic Models with Mixtures. CoRR Arnab Sarker, Ali Jadbabaie, Devavrat Shah
2021	A*	`conf`	A Computationally Efficient Method for Learning Exponential Family Distributions. NeurIPS Abhin Shah, Devavrat Shah, Gregory W. Wornell
2021	J	`jnl`	A Computationally Efficient Method for Learning Exponential Family Distributions. CoRR Abhin Shah, Devavrat Shah, Gregory W. Wornell
2021	J	`jnl`	Approximating the Log-Partition Function. CoRR Romain Cosson, Devavrat Shah
2021	J	`jnl`	Causal Matrix Completion. CoRR Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dennis Shen
2021	A*	`conf`	Change Point Detection via Multivariate Singular Spectrum Analysis. NeurIPS Arwa Alanqary, Abdullah Omar Alomar, Devavrat Shah
2021	—	`conf`	Electricity Non-Technical Loss Detection: Enhanced Cost-Driven Approach Utilizing Synthetic Control. ISGT Meshal Alharbi, Saud Alghumayjan, Mansour Alsaleh, Devavrat Shah, Ahmad Alabdulkareem
2021	—	`conf`	I Know What You Bought At Chipotle for $9.81 by Solving A Linear Inverse Problem. SIGMETRICS (Abstracts) Michael Fleder, Devavrat Shah
2021	—	`conf`	Next-day Electricity Demand Forecast: A New Ensemble Recommendation System Using Peak and Valley. ISGT Bader Alaskar, Abdullah Alhadlaq, Meshal Alharbi, Saud Alghumayjan, Ahmad Alabdulkareem, Mansour Alsaleh, Devavrat Shah
2021	A	`conf`	On Learning Continuous Pairwise Markov Random Fields. AISTATS Abhin Shah, Devavrat Shah, Gregory W. Wornell
2021	J	`jnl`	Partition-Merge: Distributed Inference and Modularity Optimization. IEEE Access Vincent D. Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah, Seungpil Won
2021	A*	`conf`	PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators. NeurIPS Anish Agarwal, Abdullah Omar Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang
2021	J	`jnl`	PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators. CoRR Anish Agarwal, Abdullah Omar Alomar, Varkey Alumootil, Devavrat Shah, Dennis Shen, Zhi Xu, Cindy Yang
2021	A*	`conf`	Quantifying Variational Approximation for Log-Partition Function. COLT Romain Cosson, Devavrat Shah
2021	J	`jnl`	Regret, stability, and fairness in matching markets with bandit learners. CoRR Sarah Huiyi Cen, Devavrat Shah
2021	A*	`conf`	Regulating algorithmic filtering on social media. NeurIPS Sarah Huiyi Cen, Devavrat Shah
2020	J	`jnl`	Asynchronous Approximation of a Single Component of the Solution to a Linear System. IEEE Trans. Netw. Sci. Eng. Asuman E. Ozdaglar, Devavrat Shah, Christina Lee Yu
2020	J	`jnl`	Editorial. IEEE J. Sel. Areas Inf. Theory Devavrat Shah, Guy Bresler, John C. Duchi, Po-Ling Loh, Yihong Wu, Christina Lee Yu
2020	A*	`conf`	Estimation of Skill Distribution from a Tournament. NeurIPS Ali Jadbabaie, Anuran Makur, Devavrat Shah
2020	J	`jnl`	Estimation of Skill Distributions. CoRR Ali Jadbabaie, Anuran Makur, Devavrat Shah
2020	—	`conf`	Forecasting with Alternative Data. SIGMETRICS (Abstracts) Michael Fleder, Devavrat Shah
2020	J	`jnl`	Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. CoRR Ali Jadbabaie, Anuran Makur, Devavrat Shah
2020	J	`jnl`	I Know What You Bought At Chipotle for $9.81 by Solving A Linear Inverse Problem. Proc. ACM Meas. Anal. Comput. Syst. Michael Fleder, Devavrat Shah
2020	J	`jnl`	Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model. IEEE Trans. Inf. Theory Yihua Li, Devavrat Shah, Dogyoon Song, Christina Lee Yu
2020	—	`conf`	Non-Asymptotic Analysis of Monte Carlo Tree Search. SIGMETRICS (Abstracts) Devavrat Shah, Qiaomin Xie, Zhi Xu
2020	J	`jnl`	On Learning Continuous Pairwise Markov Random Fields. CoRR Abhin Shah, Devavrat Shah, Gregory W. Wornell
2020	J	`jnl`	On Multivariate Singular Spectrum Analysis. CoRR Anish Agarwal, Abdullah Omar Alomar, Devavrat Shah
2020	J	`jnl`	On Principal Component Regression in a High-Dimensional Error-in-Variables Setting. CoRR Anish Agarwal, Devavrat Shah, Dennis Shen
2020	—	`conf`	On Reinforcement Learning for Turn-based Zero-sum Markov Games. FODS Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu
2020	J	`jnl`	On Reinforcement Learning for Turn-based Zero-sum Markov Games. CoRR Devavrat Shah, Varun Somani, Qiaomin Xie, Zhi Xu
2020	J	`jnl`	Regulating algorithmic filtering on social media. CoRR Sarah Huiyi Cen, Devavrat Shah
2020	A*	`conf`	Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation. NeurIPS Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang
2020	J	`jnl`	Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation. CoRR Devavrat Shah, Dogyoon Song, Zhi Xu, Yuzhe Yang
2020	—	`conf`	Stable Reinforcement Learning with Unbounded State Space. L4DC Devavrat Shah, Qiaomin Xie, Zhi Xu
2020	J	`jnl`	Stable Reinforcement Learning with Unbounded State Space. CoRR Devavrat Shah, Qiaomin Xie, Zhi Xu
2020	J	`jnl`	Synthetic Interventions. CoRR Anish Agarwal, Abdullah Omar Alomar, Romain Cosson, Devavrat Shah, Dennis Shen
2020	J	`jnl`	Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave? CoRR Anish Agarwal, Abdullah Omar Alomar, Arnab Sarker, Devavrat Shah, Dennis Shen, Cindy Yang
2020	—	`conf`	tspDB: Time Series Predict DB. NeurIPS (Competition and Demos) Anish Agarwal, Abdullah Omar Alomar, Devavrat Shah
2019	J	`jnl`	Forecasting with Alternative Data. Proc. ACM Meas. Anal. Comput. Syst. Michael Fleder, Devavrat Shah
2019	B	`conf`	Interactions Between Learning and Broadcasting in Wireless Recommendation Systems. ISIT Linqi Song, Christina Fragouli, Devavrat Shah
2019	—	`conf`	Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. Allerton Devavrat Shah, Christina Lee Yu
2019	B	`conf`	Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. ISIT Devavrat Shah, Christina Lee Yu
2019	J	`jnl`	Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation. CoRR Devavrat Shah, Christina Lee Yu
2019	J	`jnl`	Model Agnostic High-Dimensional Error-in-Variable Regression. CoRR Anish Agarwal, Devavrat Shah, Dennis Shen, Dogyoon Song
2019	—	`conf`	Model Agnostic Time Series Analysis via Matrix Estimation. SIGMETRICS (Abstracts) Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen
2019	J	`jnl`	On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis. CoRR Devavrat Shah, Qiaomin Xie, Zhi Xu
2019	A*	`conf`	On Robustness of Principal Component Regression. NeurIPS Anish Agarwal, Devavrat Shah, Dennis Shen, Dogyoon Song
2019	J	`jnl`	Revisiting Stochastic Loss Networks: Structures and Approximations. Math. Oper. Res. Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante
2019	J	`jnl`	Short and Wide Network Paths. CoRR Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale
2019	J	`jnl`	Time Series Predict DB. CoRR Abdullah Omar Alomar, Muhammad J. Amjad, Robert Lindland, Devavrat Shah
2019	J	`jnl`	Zorro: A Model Agnostic System to Price Consumer Data. CoRR Anish Agarwal, Munther A. Dahleh, Devavrat Shah, Dylan Sleeper, Andrew Tsai, Madeline Wong
2019	J	`jnl`	mRSC: Multi-dimensional Robust Synthetic Control. Proc. ACM Meas. Anal. Comput. Syst. Muhammad J. Amjad, Vishal Misra, Devavrat Shah, Dennis Shen
2019	—	`conf`	mRSC: Multidimensional Robust Synthetic Control. SIGMETRICS (Abstracts) Muhammad Jehangir Amjad, Vishal Misra, Devavrat Shah, Dennis Shen
2018	—	`conf`	Censored Demand Estimation in Retail. SIGMETRICS (Abstracts) Muhammad J. Amjad, Devavrat Shah
2018	J	`jnl`	Explaining the Success of Nearest Neighbor Methods in Prediction. Found. Trends Mach. Learn. George H. Chen, Devavrat Shah
2018	J	`jnl`	Learning Graphical Models From the Glauber Dynamics. IEEE Trans. Inf. Theory Guy Bresler, David Gamarnik, Devavrat Shah
2018	J	`jnl`	Learning Mixture Model with Missing Values and its Application to Rankings. CoRR Devavrat Shah, Dogyoon Song
2018	J	`jnl`	Model Agnostic Time Series Analysis via Matrix Estimation. Proc. ACM Meas. Anal. Comput. Syst. Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen
2018	—	`conf`	Prediction Query Language. Allerton Devavrat Shah, Sai Burle, Vishal Doshi, Ying-zong Huang, Balaji Rengarajan
2018	A*	`conf`	Q-learning with Nearest Neighbors. NeurIPS Devavrat Shah, Qiaomin Xie
2018	J	`jnl`	Q-learning with Nearest Neighbors. CoRR Devavrat Shah, Qiaomin Xie
2018	B	`conf`	Recommender Systems over Wireless: Challenges and Opportunities. ITW Linqi Song, Christina Fragouli, Devavrat Shah
2018	A	`conf`	Reducing Crowdsourcing to Graphon Estimation, Statistically. AISTATS Devavrat Shah, Christina E. Lee
2018	J	`jnl`	Regret vs. Bandwidth Trade-off for Recommendation Systems. CoRR Linqi Song, Christina Fragouli, Devavrat Shah
2018	J	`jnl`	Robust Synthetic Control. J. Mach. Learn. Res. Muhammad J. Amjad, Devavrat Shah, Dennis Shen
2018	J	`jnl`	Time Series Analysis via Matrix Estimation. CoRR Anish Agarwal, Muhammad Jehangir Amjad, Devavrat Shah, Dennis Shen
2017	J	`jnl`	Censored Demand Estimation in Retail. Proc. ACM Meas. Anal. Comput. Syst. Muhammad J. Amjad, Devavrat Shah
2017	J	`jnl`	Centralized Congestion Control and Scheduling in a Datacenter. CoRR Devavrat Shah, Qiaomin Xie
2017	J	`jnl`	Feedback-Based Online Network Coding. IEEE Trans. Inf. Theory Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard, Parastoo Sadeghi
2017	Misc	`conf`	Flowtune: Flowlet Control for Datacenter Networks. NSDI Jonathan Perry, Hari Balakrishnan, Devavrat Shah
2017	—	`conf`	Matrix Estimation, Latent Variable Model and Collaborative Filtering. FSTTCS Devavrat Shah
2017	J	`jnl`	Rank Centrality: Ranking from Pairwise Comparisons. Oper. Res. Sahand Negahban, Sewoong Oh, Devavrat Shah
2017	—	`conf`	Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation. NIPS Christian Borgs, Jennifer T. Chayes, Christina E. Lee, Devavrat Shah
2016	—	`conf`	Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering. NIPS Dogyoon Song, Christina E. Lee, Yihua Li, Devavrat Shah
2016	A*	`conf`	Collaborative Filtering with Low Regret. SIGMETRICS Guy Bresler, Devavrat Shah, Luis Filipe Voloch
2016	A*	`conf`	Compute Choice. ICALP Devavrat Shah
2016	J	`jnl`	Finding Rumor Sources on Random Trees. Oper. Res. Devavrat Shah, Tauhid Zaman
2016	—	`conf`	Trading Bitcoin and Online Time Series Prediction. NIPS Time Series Workshop Muhammad J. Amjad, Devavrat Shah
2015	—	`conf`	A Latent Source Model for Patch-Based Image Segmentation. MICCAI (3) George H. Chen, Devavrat Shah, Polina Golland
2015	J	`jnl`	A Latent Source Model for Patch-Based Image Segmentation. CoRR George H. Chen, Devavrat Shah, Polina Golland
2015	J	`jnl`	Collaborative Filtering with Low Regret. CoRR Guy Bresler, Devavrat Shah, Luis Filipe Voloch
2015	A*	`ed.`	Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, Portland, OR, USA, June 15-19, 2015 SIGMETRICS Bill Lin, Jun (Jim) Xu, Sudipta Sengupta, Devavrat Shah
2014	—	`conf`	A Latent Source Model for Online Collaborative Filtering. NIPS Guy Bresler, George H. Chen, Devavrat Shah
2014	J	`jnl`	A Latent Source Model for Online Collaborative Filtering. CoRR Guy Bresler, George H. Chen, Devavrat Shah
2014	—	`conf`	Bayesian regression and Bitcoin. Allerton Devavrat Shah, Kang Zhang
2014	J	`jnl`	Bayesian regression and Bitcoin. CoRR Devavrat Shah, Kang Zhang
2014	J	`jnl`	Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems. Oper. Res. David R. Karger, Sewoong Oh, Devavrat Shah
2014	A*	`conf`	Fastpass: a centralized "zero-queue" datacenter network. SIGCOMM Jonathan Perry, Amy Ousterhout, Hari Balakrishnan, Devavrat Shah, Hans Fugal
2014	—	`conf`	Hardness of parameter estimation in graphical models. NIPS Guy Bresler, David Gamarnik, Devavrat Shah
2014	J	`jnl`	Hardness of parameter estimation in graphical models. CoRR Guy Bresler, David Gamarnik, Devavrat Shah
2014	J	`jnl`	Introduction to the Issue on Signal Processing for Social Networks [Guest editorial]. IEEE J. Sel. Top. Signal Process. H. Vincent Poor, Kwang-Cheng Chen, Vikram Krishnamurthy, Devavrat Shah, Patrick J. Wolfe
2014	—	`conf`	Learning Mixed Multinomial Logit Model from Ordinal Data. NIPS Sewoong Oh, Devavrat Shah
2014	—	`conf`	Learning graphical models from the Glauber dynamics. Allerton Guy Bresler, David Gamarnik, Devavrat Shah
2014	J	`jnl`	Learning graphical models from the Glauber dynamics. CoRR Guy Bresler, David Gamarnik, Devavrat Shah
2014	J	`jnl`	On Queue-Size Scaling for Input-Queued Switches. CoRR Devavrat Shah, John N. Tsitsiklis, Yuan Zhong
2014	J	`jnl`	Solving Systems of Linear Equations: Locally and Asynchronously. CoRR Christina E. Lee, Asuman E. Ozdaglar, Devavrat Shah
2014	J	`jnl`	Statistical inference with probabilistic graphical models. CoRR Angélique Dremeau, Christophe Schülke, Yingying Xu, Devavrat Shah
2014	—	`conf`	Structure learning of antiferromagnetic Ising models. NIPS Guy Bresler, David Gamarnik, Devavrat Shah
2014	J	`jnl`	Structure learning of antiferromagnetic Ising models. CoRR Guy Bresler, David Gamarnik, Devavrat Shah
2014	A*	`conf`	What's your choice?: learning the mixed multi-nomial. SIGMETRICS Ammar Ammar, Sewoong Oh, Devavrat Shah, Luis Filipe Voloch
2013	—	`conf`	A Latent Source Model for Nonparametric Time Series Classification. NIPS George H. Chen, Stanislav Nikolov, Devavrat Shah
2013	J	`jnl`	A Latent Source Model for Online Time Series Classification CoRR George H. Chen, Stanislav Nikolov, Devavrat Shah
2013	J	`jnl`	A Nonparametric Approach to Modeling Choice with Limited Data. Manag. Sci. Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah
2013	—	`conf`	Computing the Stationary Distribution Locally. NIPS Christina E. Lee, Asuman E. Ozdaglar, Devavrat Shah
2013	J	`jnl`	Computing the Stationary Distribution Locally. CoRR Christina E. Lee, Asuman E. Ozdaglar, Devavrat Shah
2013	A*	`conf`	Efficient crowdsourcing for multi-class labeling. SIGMETRICS David R. Karger, Sewoong Oh, Devavrat Shah
2013	J	`jnl`	Partition-Merge: Distributed Inference and Modularity Optimization. CoRR Vincent D. Blondel, Kyomin Jung, Pushmeet Kohli, Devavrat Shah
2013	J	`jnl`	Technique for Efficient Evaluation of SRAM Timing Failure. IEEE Trans. Very Large Scale Integr. Syst. Masood Qazi, Mehul Tikekar, Lara Dolecek, Devavrat Shah, Anantha P. Chandrakasan
2012	—	`conf`	A hardware spinal decoder. ANCS Peter Anthony Iannucci, Kermin Elliott Fleming, Jonathan Perry, Hari Balakrishnan, Devavrat Shah
2012	J	`jnl`	Belief Propagation for Min-Cost Network Flow: Convergence and Correctness. Oper. Res. David Gamarnik, Devavrat Shah, Yehua Wei
2012	J	`jnl`	Caching in Wireless Networks. IEEE Trans. Inf. Theory Urs Niesen, Devavrat Shah, Gregory W. Wornell
2012	A*	`conf`	Congestion control meets medium access: throughput, delay, and complexity. SIGMETRICS Shreeshankar Bodas, Devavrat Shah, Damon Wischik
2012	J	`jnl`	De-randomizing Shannon: The Design and Analysis of a Capacity-Achieving Rateless Code CoRR Hari Balakrishnan, Peter Iannucci, Jonathan Perry, Devavrat Shah
2012	A*	`conf`	Efficient rank aggregation using partial data. SIGMETRICS Ammar Ammar, Devavrat Shah
2012	J	`jnl`	Iterative Ranking from Pair-wise Comparisons CoRR Sahand Negahban, Sewoong Oh, Devavrat Shah
2012	—	`conf`	Iterative ranking from pair-wise comparisons. NIPS Sahand Negahban, Sewoong Oh, Devavrat Shah
2012	—	`conf`	Learning sparse Boolean polynomials. Allerton Conference Sahand Negahban, Devavrat Shah
2012	J	`jnl`	Log-weight scheduling in switched networks. Queueing Syst. Theory Appl. Devavrat Shah, Damon Wischik
2012	A*	`conf`	No symbol left behind: a link-layer protocol for rateless codes. MobiCom Peter Anthony Iannucci, Jonathan Perry, Hari Balakrishnan, Devavrat Shah
2012	A*	`conf`	Optimal queue-size scaling in switched networks. SIGMETRICS Devavrat Shah, Neil S. Walton, Yuan Zhong
2012	J	`jnl`	Product-form distributions and network algorithms (abstract only). SIGMETRICS Perform. Evaluation Rev. Devavrat Shah
2012	A*	`conf`	Rumor centrality: a universal source detector. SIGMETRICS Devavrat Shah, Tauhid Zaman
2012	Misc	`conf`	Sparse choice models. CISS Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah
2012	A*	`conf`	Spinal codes. SIGCOMM Jonathan Perry, Peter Iannucci, Kermin Fleming, Hari Balakrishnan, Devavrat Shah
2011	J	`jnl`	Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems CoRR David R. Karger, Sewoong Oh, Devavrat Shah
2011	—	`conf`	Budget-optimal crowdsourcing using low-rank matrix approximations. Allerton David R. Karger, Sewoong Oh, Devavrat Shah
2011	J	`jnl`	Counting Independent Sets Using the Bethe Approximation. SIAM J. Discret. Math. Venkat Chandrasekaran, Misha Chertkov, David Gamarnik, Devavrat Shah, Jinwoo Shin
2011	J	`jnl`	Distributed Averaging in Dynamic Networks. IEEE J. Sel. Top. Signal Process. Shreevatsa Rajagopalan, Devavrat Shah
2011	J	`jnl`	Efficient Distributed Medium Access CoRR Devavrat Shah, Jinwoo Shin, Prasad Tetali
2011	J	`jnl`	Fair Scheduling in Networks Through Packet Election. IEEE Trans. Inf. Theory Srikanth Jagabathula, Devavrat Shah
2011	B	`conf`	Fast averaging. ISIT Shreeshankar Bodas, Devavrat Shah
2011	J	`jnl`	Fluid models of congestion collapse in overloaded switched networks. Queueing Syst. Theory Appl. Devavrat Shah, Damon Wischik
2011	J	`jnl`	Hardness of Low Delay Network Scheduling. IEEE Trans. Inf. Theory Devavrat Shah, David N. C. Tse, John N. Tsitsiklis
2011	J	`jnl`	Inferring Rankings Using Constrained Sensing. IEEE Trans. Inf. Theory Srikanth Jagabathula, Devavrat Shah
2011	—	`conf`	Informational limits of neural circuits. Allerton Lav R. Varshney, Devavrat Shah
2011	—	`conf`	Interference is not noise. Allerton Shreeshankar Bodas, Devavrat Shah, Damon Wischik
2011	—	`conf`	Iterative Learning for Reliable Crowdsourcing Systems. NIPS David R. Karger, Sewoong Oh, Devavrat Shah
2011	A*	`conf`	Medium Access Using Queues. FOCS Devavrat Shah, Jinwoo Shin, Prasad Tetali
2011	J	`jnl`	Network Coding Meets TCP: Theory and Implementation. Proc. IEEE Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard, Szymon Jakubczak, Michael Mitzenmacher, João Barros
2011	J	`jnl`	Optimal Queue-Size Scaling in Switched Networks CoRR Devavrat Shah, Neil S. Walton, Yuan Zhong
2011	J	`jnl`	Optimal scaling of average queue sizes in an input-queued switch: an open problem. Queueing Syst. Theory Appl. Devavrat Shah, John N. Tsitsiklis, Yuan Zhong
2011	—	`conf`	Ranking: Compare, don't score. Allerton Ammar Ammar, Devavrat Shah
2011	Misc	`conf`	Rateless spinal codes. HotNets Jonathan Perry, Hari Balakrishnan, Devavrat Shah
2011	J	`jnl`	Reduction of Variation-Induced Energy Overhead in Multi-Core Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Nigel Drego, Anantha P. Chandrakasan, Duane S. Boning, Devavrat Shah
2011	J	`jnl`	Rumors in a Network: Who's the Culprit? IEEE Trans. Inf. Theory Devavrat Shah, Tauhid Zaman
2011	Misc	`conf`	Three metrics for stochastic networks: Capacity, queue-size and complexity. COMSNETS Devavrat Shah
2010	J	`jnl`	A Simple Message-Passing Algorithm for Compressed Sensing CoRR Venkat Chandar, Devavrat Shah, Gregory W. Wornell
2010	B	`conf`	A simple message-passing algorithm for compressed sensing. ISIT Venkat Chandar, Devavrat Shah, Gregory W. Wornell
2010	A*	`conf`	Belief Propagation for Min-cost Network Flow: Convergence & Correctness. SODA David Gamarnik, Devavrat Shah, Yehua Wei
2010	J	`jnl`	Community Detection in Networks: The Leader-Follower Algorithm CoRR Devavrat Shah, Tauhid Zaman
2010	A*	`conf`	Delay optimal queue-based CSMA. SIGMETRICS Devavrat Shah, Jinwoo Shin
2010	A*	`conf`	Detecting sources of computer viruses in networks: theory and experiment. SIGMETRICS Devavrat Shah, Tauhid Zaman
2010	J	`jnl`	Distributed Random Access Algorithm: Scheduling and Congestion Control. IEEE Trans. Inf. Theory Libin Jiang, Devavrat Shah, Jinwoo Shin, Jean C. Walrand
2010	A*	`conf`	Distributed averaging in dynamic networks. SIGMETRICS Shreevatsa Rajagopalan, Devavrat Shah
2010	J	`jnl`	Distributed averaging via lifted Markov chains. IEEE Trans. Inf. Theory Kyomin Jung, Devavrat Shah, Jinwoo Shin
2010	J	`jnl`	Distributed cross-layer algorithms for the optimal control of multihop wireless networks. IEEE/ACM Trans. Netw. Atilla Eryilmaz, Asuman E. Ozdaglar, Devavrat Shah, Eytan H. Modiano
2010	A*	`conf`	Dynamics in congestion games. SIGMETRICS Devavrat Shah, Jinwoo Shin
2010	J	`jnl`	Efficient Queue-based CSMA with Collisions CoRR Devavrat Shah, Jinwoo Shin
2010	J	`jnl`	Fully Distributed Algorithms for Convex Optimization Problems. SIAM J. Optim. Damon Mosk-Aoyama, Tim Roughgarden, Devavrat Shah
2010	J	`jnl`	Functional compression through graph coloring. IEEE Trans. Inf. Theory Vishal Doshi, Devavrat Shah, Muriel Médard, Michelle Effros
2010	J	`jnl`	Information Theoretic Bounds for Distributed Computation Over Networks of Point-to-Point Channels. IEEE Trans. Inf. Theory Ola Ayaso, Devavrat Shah, Munther A. Dahleh
2010	A	`conf`	Loop flattening & spherical sampling: Highly efficient model reduction techniques for SRAM yield analysis. DATE Masood Qazi, Mehul Tikekar, Lara Dolecek, Devavrat Shah, Anantha P. Chandrakasan
2010	B	`conf`	Message-Passing for Wireless Scheduling: An Experimental Study. ICCCN Paolo Giaccone, Devavrat Shah
2010	J	`jnl`	On the Flow-level Dynamics of a Packet-switched Network CoRR Ciamac Cyrus Moallemi, Devavrat Shah
2010	A*	`conf`	On the flow-level dynamics of a packet-switched network. SIGMETRICS Ciamac Cyrus Moallemi, Devavrat Shah
2010	J	`jnl`	Qualitative Properties of alpha-Weighted Scheduling Policies CoRR Devavrat Shah, John N. Tsitsiklis, Yuan Zhong
2010	A*	`conf`	Qualitative properties of alpha-weighted scheduling policies. SIGMETRICS Devavrat Shah, John N. Tsitsiklis, Yuan Zhong
2010	J	`jnl`	Switched networks with maximum weight policies: Fluid approximation and multiplicative state space collapse CoRR Devavrat Shah, Damon Wischik
2010	J	`jnl`	The balanced unicast and multicast capacity regions of large wireless networks. IEEE Trans. Inf. Theory Urs Niesen, Piyush Gupta, Devavrat Shah
2009	—	`conf`	A Data-Driven Approach to Modeling Choice. NIPS Vivek F. Farias, Srikanth Jagabathula, Devavrat Shah
2009	—	`conf`	A locally encodable and decodable compressed data structure. Allerton Venkat Chandar, Devavrat Shah, Gregory W. Wornell
2009	J	`jnl`	Adaptive Alternating Minimization Algorithms. IEEE Trans. Inf. Theory Urs Niesen, Devavrat Shah, Gregory W. Wornell
2009	J	`jnl`	Belief Propagation: An Asymptotically Optimal Algorithm for the Random Assignment Problem. Math. Oper. Res. Justin Salez, Devavrat Shah
2009	J	`jnl`	Caching in Wireless Networks CoRR Urs Niesen, Devavrat Shah, Gregory W. Wornell
2009	B	`conf`	Caching in wireless networks. ISIT Urs Niesen, Devavrat Shah, Gregory W. Wornell
2009	A*	`conf`	Computing the Capacity Region of a Wireless Network. INFOCOM Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, Ramavarapu S. Sreenivas
2009	J	`jnl`	Distributed Averaging via Lifted Markov Chains CoRR Kyomin Jung, Devavrat Shah, Jinwoo Shin
2009	J	`jnl`	Distributed Random Access Algorithm: Scheduling and Congesion Control CoRR Libin Jiang, Devavrat Shah, Jinwoo Shin, Jean C. Walrand
2009	J	`jnl`	Feedback-based online network coding CoRR Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard
2009	J	`jnl`	Gossip Algorithms. Found. Trends Netw. Devavrat Shah
2009	B	`conf`	Influence in a large society: Interplay between information dynamics and network structure. ISIT Lara Dolecek, Devavrat Shah
2009	—	`conf`	Local Rules for Global MAP: When Do They Work ? NIPS Kyomin Jung, Pushmeet Kohli, Devavrat Shah
2009	J	`jnl`	Message passing for maximum weight independent set. IEEE Trans. Inf. Theory Sujay Sanghavi, Devavrat Shah, Alan S. Willsky
2009	A*	`conf`	Network Coding Meets TCP. INFOCOM Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard, Michael Mitzenmacher, João Barros
2009	—	`conf`	Network adiabatic theorem: an efficient randomized protocol for contention resolution. SIGMETRICS/Performance Shreevatsa Rajagopalan, Devavrat Shah, Jinwoo Shin
2009	Misc	`conf`	Network gossip algorithms. ICASSP Devavrat Shah
2009	J	`jnl`	On capacity scaling in arbitrary wireless networks. IEEE Trans. Inf. Theory Urs Niesen, Piyush Gupta, Devavrat Shah
2009	J	`jnl`	Randomized Scheduling Algorithm for Queueing Networks CoRR Devavrat Shah, Jinwoo Shin
2009	A*	`conf`	The Multicast Capacity Region of Large Wireless Networks. INFOCOM Urs Niesen, Piyush Gupta, Devavrat Shah
2008	J	`jnl`	A Dynamic Pickup and Delivery Problem in Mobile Networks Under Information Constraints. IEEE Trans. Autom. Control. Holly A. Waisanen, Devavrat Shah, Munther A. Dahleh
2008	J	`jnl`	ARQ for Network Coding CoRR Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard
2008	B	`conf`	ARQ for network coding. ISIT Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard
2008	A	`conf`	Breaking the simulation barrier: SRAM evaluation through norm minimization. ICCAD Lara Dolecek, Masood Qazi, Devavrat Shah, Anantha P. Chandrakasan
2008	B	`conf`	Cooperative multi-hop schemes for arbitrary wireless networks. ITW Urs Niesen, Piyush Gupta, Devavrat Shah
2008	B	`conf`	Counting bits for distributed function computation. ISIT Ola Ayaso, Devavrat Shah, Munther A. Dahleh
2008	Misc	`conf`	Distributed algorithm and reversible network. CISS Shreevatsa Rajagopalan, Devavrat Shah
2008	—	`conf`	Distributed computation under bit constraints. CDC Ola Ayaso, Devavrat Shah, Munther A. Dahleh
2008	J	`jnl`	Fair Scheduling in Networks Through Packet Election CoRR Srikanth Jagabathula, Devavrat Shah
2008	A*	`conf`	Fair Scheduling through Packet Election. INFOCOM Srikanth Jagabathula, Vishal Doshi, Devavrat Shah
2008	J	`jnl`	Fast Distributed Algorithms for Computing Separable Functions. IEEE Trans. Inf. Theory Damon Mosk-Aoyama, Devavrat Shah
2008	A*	`conf`	Feasible Rate Allocation in Wireless Networks. INFOCOM Ramakrishna Gummadi, Kyomin Jung, Devavrat Shah, Ramavarapu S. Sreenivas
2008	B	`conf`	Hierarchical cooperation for arbitrary wireless networks. ISIT Urs Niesen, Piyush Gupta, Devavrat Shah
2008	Misc	`conf`	Imperfect randomized algorithms for the optimal control of wireless networks. CISS Atilla Eryilmaz, Asuman E. Ozdaglar, Devavrat Shah, Eytan H. Modiano
2008	—	`conf`	Inferring rankings under constrained sensing. NIPS Srikanth Jagabathula, Devavrat Shah
2008	—	`conf`	Lower bound and optimality in switched networks. Allerton Devavrat Shah, Damon Wischik
2008	J	`jnl`	Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality. IEEE Trans. Inf. Theory Mohsen Bayati, Devavrat Shah, Mayank Sharma
2008	J	`jnl`	Message-passing for Maximum Weight Independent Set CoRR Sujay Sanghavi, Devavrat Shah, Alan S. Willsky
2008	J	`jnl`	Network coding meets TCP CoRR Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard, Michael Mitzenmacher, João Barros
2008	J	`jnl`	Online network coding for optimal throughput and delay -- the two-receiver case CoRR Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard
2008	A*	`conf`	Optimal delay scheduling in networks with arbitrary constraints. SIGMETRICS Srikanth Jagabathula, Devavrat Shah
2008	J	`jnl`	Product Multicommodity Flow in Wireless Networks. IEEE Trans. Inf. Theory Ritesh Madan, Devavrat Shah, Olivier Lévêque
2008	A*	`conf`	Revisiting stochastic loss networks: structures and algorithms. SIGMETRICS Kyomin Jung, Yingdong Lu, Devavrat Shah, Mayank Sharma, Mark S. Squillante
2008	J	`jnl`	Source Coding with Mismatched Distortion Measures CoRR Urs Niesen, Devavrat Shah, Gregory W. Wornell
2008	J	`jnl`	The Capacity Region of Large Wireless Networks CoRR Urs Niesen, Piyush Gupta, Devavrat Shah
2008	—	`conf`	The capacity region of large wireless networks. Allerton Urs Niesen, Piyush Gupta, Devavrat Shah
2007	J	`jnl`	Adaptive Alternating Minimization Algorithms CoRR Urs Niesen, Devavrat Shah, Gregory W. Wornell
2007	B	`conf`	Adaptive Alternating Minimization Algorithms. ISIT Urs Niesen, Devavrat Shah, Gregory W. Wornell
2007	A*	`conf`	Counting good truth assignments of random SODA Andrea Montanari, Devavrat Shah
2007	B	`conf`	Distributed Functional Compression through Graph Coloring. DCC Vishal Doshi, Devavrat Shah, Muriel Médard, Sidharth Jaggi
2007	A	`conf`	Fully Distributed Algorithms for Convex Optimization Problems. DISC Damon Mosk-Aoyama, Tim Roughgarden, Devavrat Shah
2007	A*	`conf`	Iterative Scheduling Algorithms. INFOCOM Mohsen Bayati, Balaji Prabhakar, Devavrat Shah, Mayank Sharma
2007	—	`conf`	Local Algorithms for Approximate Inference in Minor-Excluded Graphs. NIPS Kyomin Jung, Devavrat Shah
2007	B	`conf`	Low Delay Scheduling in Wireless Network. ISIT Kyomin Jung, Devavrat Shah
2007	—	`conf`	Lower bounds for multi-stage vehicle routing. CDC Holly A. Waisanen, Devavrat Shah, Munther A. Dahleh
2007	—	`conf`	Message Passing for Max-weight Independent Set. NIPS Sujay Sanghavi, Devavrat Shah, Alan S. Willsky
2007	A*	`conf`	Network Coding in a Multicast Switch. INFOCOM Jay Kumar Sundararajan, Muriel Médard, Minji Kim, Atilla Eryilmaz, Devavrat Shah, Ralf Koetter
2007	A*	`conf`	Oblivious Routing with Mobile Fusion Centers over a Sensor Network. INFOCOM Devavrat Shah, Sanjay Shakkottai
2007	J	`jnl`	On Capacity Scaling in Arbitrary Wireless Networks CoRR Urs Niesen, Piyush Gupta, Devavrat Shah
2007	B	`conf`	On queueing in coded networks - queue size follows degrees of freedom. ITW Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard
2007	B	`conf`	Source Coding with Distortion through Graph Coloring. ISIT Vishal Doshi, Devavrat Shah, Muriel Médard
2007	J	`jnl`	Throughput Region of Finite-Buffered Networks. IEEE Trans. Parallel Distributed Syst. Paolo Giaccone, Emilio Leonardi, Devavrat Shah
2007	J	`jnl`	Throughput and Delay in Random Wireless Networks With Restricted Mobility. IEEE Trans. Inf. Theory James P. Mammen, Devavrat Shah
2006	B	`conf`	A Simpler Max-Product Maximum Weight Matching Algorithm and the Auction Algorithm. ISIT Mohsen Bayati, Devavrat Shah, Mayank Sharma
2006	A*	`conf`	Computing separable functions via gossip. PODC Damon Mosk-Aoyama, Devavrat Shah
2006	J	`jnl`	Counting good truth assignments of random k-SAT formulae CoRR Andrea Montanari, Devavrat Shah
2006	B	`conf`	Fast Gossip via Non-reversible Random Walk. ITW Kyomin Jung, Devavrat Shah
2006	Misc	`conf`	Fast Matching Algorithms for Repetitive Optimization: An Application to Switch Scheduling. CISS Supratim Deb, Devavrat Shah, Sanjay Shakkottai
2006	B	`conf`	Information Dissemination via Network Coding. ISIT Damon Mosk-Aoyama, Devavrat Shah
2006	J	`jnl`	Local approximate inference algorithms CoRR Kyomin Jung, Devavrat Shah
2006	—	`conf`	Maximizing throughput in wireless networks via gossiping. SIGMETRICS/Performance Eytan H. Modiano, Devavrat Shah, Gil Zussman
2006	—	`conf`	Minimal Delay in Controlled Mobile Relay Networks. CDC Holly A. Waisanen, Devavrat Shah, Munther A. Dahleh
2006	J	`jnl`	Network Coding in a Multicast Switch CoRR Jay Kumar Sundararajan, Muriel Médard, Minji Kim, Atilla Eryilmaz, Devavrat Shah, Ralf Koetter
2006	J	`jnl`	On entropy for mixtures of discrete and continuous variables CoRR Chandra Nair, Balaji Prabhakar, Devavrat Shah
2006	A*	`conf`	Optimal Scheduling Algorithms for Input-Queued Switches. INFOCOM Devavrat Shah, Damon Wischik
2006	J	`jnl`	Optimal Throughput-Delay Scaling in Wireless Networks - Part II: Constant-Size Packets. IEEE Trans. Inf. Theory Abbas El Gamal, James P. Mammen, Balaji Prabhakar, Devavrat Shah
2006	J	`jnl`	Optimal throughput-delay scaling in wireless networks: part I: the fluid model. IEEE Trans. Inf. Theory Abbas El Gamal, James P. Mammen, Balaji Prabhakar, Devavrat Shah
2006	J	`jnl`	Product Multicommodity Flow in Wireless Networks CoRR Ritesh Madan, Devavrat Shah, Olivier Lévêque
2006	J	`jnl`	Randomized gossip algorithms. IEEE Trans. Inf. Theory Stephen P. Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah
2006	B	`conf`	Rateless Codes for the Gaussian Multiple Access Channel. GLOBECOM Urs Niesen, Uri Erez, Devavrat Shah, Gregory W. Wornell
2006	B	`conf`	Uniform Multi-commodity Flow in Wireless Networks with Gaussian Fading Channels. ISIT Olivier Lévêque, Ritesh Madan, Devavrat Shah
2005	J	`jnl`	Cell switching versus packet switching in input-queued switches. IEEE/ACM Trans. Netw. Yashar Ganjali, Abtin Keshavarzian, Devavrat Shah
2005	J	`jnl`	Fast Distributed Algorithms for Computing Separable Functions CoRR Damon Mosk-Aoyama, Devavrat Shah
2005	A*	`conf`	Gossip algorithms: design, analysis and applications. INFOCOM Stephen P. Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah
2005	J	`jnl`	Max Product for Max-Weight Independent Set and Matching CoRR Devavrat Shah
2005	J	`jnl`	Maximum Weight Matching via Max-Product Belief Propagation CoRR Mohsen Bayati, Devavrat Shah, Mayank Sharma
2005	B	`conf`	Maximum weight matching via max-product belief propagation. ISIT Mohsen Bayati, Devavrat Shah, Mayank Sharma
2005	—	`conf`	Mixing Times for Random Walks on Geometric Random Graphs. ALENEX/ANALCO Stephen P. Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah
2005	A*	`conf`	On the maximal throughput of networks with finite buffers and its application to buffered crossbars. INFOCOM Paolo Giaccone, Emilio Leonardi, Devavrat Shah
2005	—	`—`	Randomization and heavy traffic theory : new approaches to the design and analysis of switch algorithms. Devavrat Shah
2005	J	`jnl`	Throughput and Delay in Random Wireless Networks with Restricted Mobility CoRR James P. Mammen, Devavrat Shah
2005	B	`conf`	Throughput-delay scaling in wireless networks with constant-size packets. ISIT Abbas El Gamal, James P. Mammen, Balaji Prabhakar, Devavrat Shah
2004	—	`conf`	Analysis and optimization of randomized gossip algorithms. CDC Stephen P. Boyd, Arpita Ghosh, Balaji Prabhakar, Devavrat Shah
2004	J	`jnl`	Delay bounds for combined input-output switches with low speedup. Perform. Evaluation Paolo Giaccone, Emilio Leonardi, Balaji Prabhakar, Devavrat Shah
2004	B	`conf`	Fair scheduling in input-queued switches under inadmissible traffic. GLOBECOM Neha Kumar, Rong Pan, Devavrat Shah
2004	B	`conf`	Throughput and delay in random wireless networks: 1-D mobility is just as good as 2-D. ISIT James P. Mammen, Devavrat Shah
2004	A*	`conf`	Throughput-Delay Trade-off in Wireless Networks. INFOCOM Abbas El Gamal, James P. Mammen, Balaji Prabhakar, Devavrat Shah
2004	B	`conf`	Throughput-delay trade-off in energy constrained wireless networks. ISIT Abbas El Gamal, James P. Mammen, Balaji Prabhakar, Devavrat Shah
2003	A*	`conf`	Input Queued Switches: Cell Switching vs. Packet Switching. INFOCOM Yashar Ganjali, Abtin Keshavarzian, Devavrat Shah
2003	B	`conf`	Maximal matching scheduling is good enough. GLOBECOM Devavrat Shah
2003	J	`jnl`	Randomized scheduling algorithms for high-aggregate bandwidth switches. IEEE J. Sel. Areas Commun. Paolo Giaccone, Balaji Prabhakar, Devavrat Shah
2003	A*	`conf`	Switch Scheduling via Randomized Edge Coloring. FOCS Gagan Aggarwal, Rajeev Motwani, Devavrat Shah, An Zhu
2002	J	`jnl`	An Implementable Parallel Scheduler for Input-Queued Switches. IEEE Micro Paolo Giaccone, Devavrat Shah, Balaji Prabhakar
2002	A*	`conf`	Delay bounds for the approximate Maximum weight matching algorithm for input queued switches. INFOCOM Devavrat Shah, Milind Kopikare
2002	B	`conf`	Delay performance of high-speed packet switches with low speedup. GLOBECOM Paolo Giaccone, Emilio Leonardi, Balaji Prabhakar, Devavrat Shah
2002	J	`jnl`	Efficient Randomized Algorithms for Input-Queued Switch Scheduling. IEEE Micro Devavrat Shah, Paolo Giaccone, Balaji Prabhakar
2002	A*	`conf`	Load Balancing with Memory. FOCS Michael Mitzenmacher, Balaji Prabhakar, Devavrat Shah
2002	J	`jnl`	Maintaining Statistics Counters in Router Line Cards. IEEE Micro Devavrat Shah, Sundar Iyer, Balaji Prabhakar, Nick McKeown
2002	A*	`conf`	Towards Simple, High-performance Schedulers for High-aggregate Bandwidth Switches. INFOCOM Paolo Giaccone, Balaji Prabhakar, Devavrat Shah
2001	—	`conf`	An efficient randomized algorithm for input-queued switch scheduling. Hot Interconnects Devavrat Shah, Paolo Giaccone, Balaji Prabhakar
2001	—	`conf`	An implementable parallel scheduler for input-queued switches. Hot Interconnects Paolo Giaccone, Devavrat Shah, Balaji Prabhakar
2001	—	`conf`	Analysis of a statistics counter architecture. Hot Interconnects Devavrat Shah, Sundar Iyer, Balaji Prabhakar, Nick McKeown
2001	J	`jnl`	Fast Updating Algorithms for TCAMs. IEEE Micro Devavrat Shah, Pankaj Gupta
2000	—	`conf`	Turbo-charging Vertical Mining of Large Databases. SIGMOD Conference Pradeep Shenoy, Jayant R. Haritsa, S. Sudarshan, Gaurav Bhalotia, Mayank Bawa, Devavrat Shah
1999	—	`conf`	Interestingness and Pruning of Mined Patterns. 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery Devavrat Shah, Laks V. S. Lakshmanan, Krithi Ramamritham, S. Sudarshan