Devavrat Shah

Q: What Schools Are Affiliated With Devavrat Shah

Devavrat Shah is affiliated with the following schools: Massachusetts Institute of Technology, Stanford University

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Devavrat Shah

Computer Science

#1810

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#1877

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Database

#2565

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#2687

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Computer Science

Devavrat Shah's Degrees

PhD Electrical Engineering Stanford University

Why Is Devavrat Shah Influential?

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According to Wikipedia, 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.

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Devavrat Shah's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Randomized gossip algorithms (2006) (2358)
Throughput-delay trade-off in wireless networks (2004) (659)
Gossip algorithms: design, analysis and applications (2005) (589)
Rumors in a Network: Who's the Culprit? (2009) (532)
Fastpass: a centralized "zero-queue" datacenter network (2015) (415)
Optimal throughput-delay scaling in wireless networks - part I: the fluid model (2006) (374)
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems (2011) (362)
Maximizing throughput in wireless networks via gossiping (2006) (347)
Turbo-charging vertical mining of large databases (2000) (329)
Gossip Algorithms (2009) (327)
A Nonparametric Approach to Modeling Choice with Limited Data (2009) (278)
Network adiabatic theorem: an efficient randomized protocol for contention resolution (2009) (277)
Network Coding Meets TCP: Theory and Implementation (2011) (272)
ARQ for network coding (2008) (269)
Network Coding Meets TCP (2008) (267)
Iterative ranking from pair-wise comparisons (2012) (226)
Detecting sources of computer viruses in networks: theory and experiment (2010) (225)
Iterative Learning for Reliable Crowdsourcing Systems (2011) (201)
Computing separable functions via gossip (2005) (199)
Max-Product for Maximum Weight Matching: Convergence, Correctness, and LP Duality (2008) (198)
Rank Centrality: Ranking from Pairwise Comparisons (2012) (185)
Fast Updating Algorithms for TCAMs (2001) (174)
Fast Distributed Algorithms for Computing Separable Functions (2005) (165)
Maximum weight matching via max-product belief propagation (2005) (158)
Efficient crowdsourcing for multi-class labeling (2013) (157)
Distributed Random Access Algorithm: Scheduling and Congestion Control (2009) (154)
Spinal codes (2012) (154)
Budget-optimal crowdsourcing using low-rank matrix approximations (2011) (152)
Rumor centrality: a universal source detector (2012) (138)
Adaptive Alternating Minimization Algorithms (2007) (133)
Bayesian regression and Bitcoin (2014) (132)
On Capacity Scaling in Arbitrary Wireless Networks (2007) (125)
Randomized scheduling algorithms for high-aggregate bandwidth switches (2003) (122)
Message Passing for Maximum Weight Independent Set (2008) (119)
Randomized Scheduling Algorithm for Queueing Networks (2009) (119)
Explaining the Success of Nearest Neighbor Methods in Prediction (2018) (118)
Robust Synthetic Control (2017) (116)
Breaking the simulation barrier: SRAM evaluation through norm minimization (2008) (116)
Throughput and Delay in Random Wireless Networks With Restricted Mobility (2005) (105)
Towards simple, high-performance schedulers for high-aggregate bandwidth switches (2002) (101)
Optimal Scheduling Algorithms for Input-Queued Switches (2006) (101)
Mixing Times for Random Walks on Geometric Random Graphs (2005) (101)
Rateless spinal codes (2011) (98)
Optimal Throughput–Delay Scaling in Wireless Networks—Part II: Constant-Size Packets (2006) (93)
Switched networks with maximum weight policies: Fluid approximation and multiplicative state space collapse (2010) (92)
Delay bounds for approximate maximum weight matching algorithms for input queued switches (2002) (91)
Maintaining Statistics Counters in Router Line Cards (2002) (89)
Loop flattening & spherical sampling: Highly efficient model reduction techniques for SRAM yield analysis (2010) (87)
Load balancing with memory (2002) (87)
Belief propagation for min-cost network flow: convergence & correctness (2010) (86)
Hardness of Low Delay Network Scheduling (2011) (83)
Online network coding for optimal throughput and delay - the three-receiver case (2008) (81)
Throughput-delay trade-off in energy constrained wireless networks (2004) (79)
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States (2022) (76)
An efficient randomized algorithm for input-queued switch scheduling (2001) (75)
Information Dissemination via Network Coding (2006) (70)
Flowtune: Flowlet Control for Datacenter Networks (2017) (69)
Delay optimal queue-based CSMA (2010) (66)
Distributed algorithm and reversible network (2008) (66)
Dynamics in congestion games (2010) (66)
Caching in wireless networks (2009) (64)
Interestingness and Pruning of Mined Patterns (1999) (64)
Functional Compression Through Graph Coloring (2010) (63)
Fully Distributed Algorithms for Convex Optimization Problems (2007) (61)
Q-learning with Nearest Neighbors (2018) (59)
A Latent Source Model for Nonparametric Time Series Classification (2013) (59)
Community Detection in Networks: The Leader-Follower Algorithm (2010) (58)
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering (2016) (57)
Fastpass (2014) (55)
Throughput Region of Finite-Buffered Networks (2007) (55)
Distributed Cross-Layer Algorithms for the Optimal Control of Multihop Wireless Networks (2010) (55)
A Latent Source Model for Online Collaborative Filtering (2014) (54)
Trading Bitcoin and Online Time Series Prediction (2016) (53)
Inferring rankings under constrained sensing (2008) (53)
The Balanced Unicast and Multicast Capacity Regions of Large Wireless Networks (2008) (52)
On Robustness of Principal Component Regression (2019) (51)
Caching in Wireless Networks (2012) (51)
Learning Mixed Multinomial Logit Model from Ordinal Data (2014) (50)
Medium Access Using Queues (2011) (50)
Finding Rumor Sources on Random Trees (2011) (48)
De-randomizing Shannon: The Design and Analysis of a Capacity-Achieving Rateless Code (2012) (48)
Optimal queue-size scaling in switched networks (2011) (47)
Low Delay Scheduling in Wireless Network (2007) (46)
Information Theoretic Bounds for Distributed Computation Over Networks of Point-to-Point Channels (2010) (46)
Iterative Scheduling Algorithms (2007) (46)
Switch scheduling via randomized edge coloring (2003) (44)
An implementable parallel scheduler for input-queued switches (2001) (44)
A simple message-passing algorithm for compressed sensing (2010) (44)
Distributed Averaging Via Lifted Markov Chains (2009) (43)
No symbol left behind: a link-layer protocol for rateless codes (2012) (42)
Feedback-Based Online Network Coding (2009) (42)
Ranking: Compare, don't score (2011) (42)
A Dynamic Pickup and Delivery Problem in Mobile Networks Under Information Constraints (2008) (41)
Structure learning of antiferromagnetic Ising models (2014) (40)
On entropy for mixtures of discrete and continuous variables (2006) (40)
Distributed Functional Compression through Graph Coloring (2007) (40)
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation (2017) (37)
Fast incremental updates on Ternary-CAMs for routing lookups and packet classification (2000) (36)
Efficient rank aggregation using partial data (2012) (36)
Analysis of a statistics counter architecture (2001) (36)
Optimal delay scheduling in networks with arbitrary constraints (2008) (36)
Product Multicommodity Flow in Wireless Networks (2006) (35)
Input queued switches: cell switching vs. packet switching (2003) (35)
Fluid models of congestion collapse in overloaded switched networks (2011) (34)
Counting Independent Sets Using the Bethe Approximation (2010) (32)
Network gossip algorithms (2009) (32)
Hardness of parameter estimation in graphical models (2014) (31)
On the maximal throughput of networks with finite buffers and its application to buffered crossbars (2005) (31)
On queueing in coded networks - queue size follows degrees of freedom (2007) (30)
Model Agnostic Time Series Analysis via Matrix Estimation (2018) (29)
Maximal matching scheduling is good enough (2003) (29)
Inferring Rankings Using Constrained Sensing (2009) (29)
mRSC: Multidimensional Robust Synthetic Control (2019) (28)
A Data-Driven Approach to Modeling Choice (2009) (28)
Cell switching versus packet switching in input-queued switches (2005) (28)
Belief Propagation: An Asymptotically Optimal Algorithm for the Random Assignment Problem (2009) (27)
Revisiting stochastic loss networks: structures and algorithms (2008) (27)
Message Passing for Max-weight Independent Set (2007) (27)
Counting good truth assignments of random k-SAT formulae (2006) (27)
On Queue-Size Scaling for Input-Queued Switches (2014) (26)
Gossip and mixing times of random walks on random graphs (2004) (25)
A Simpler Max-Product Maximum Weight Matching Algorithm and the Auction Algorithm (2006) (25)
Optimal scaling of average queue sizes in an input-queued switch: an open problem (2011) (25)
Oblivious Routing with Mobile Fusion Centers over a Sensor Network (2007) (23)
Collaborative Filtering with Low Regret (2015) (23)
Computing the Stationary Distribution Locally (2013) (23)
Reducing Crowdsourcing to Graphon Estimation, Statistically (2017) (22)
Finding Rumor Sources on Random Graphs (2012) (22)
Fair scheduling in input-queued switches under inadmissible traffic (2004) (21)
Source Coding with Distortion through Graph Coloring (2007) (21)
Non-Asymptotic Analysis of Monte Carlo Tree Search (2019) (21)
Hardness of low delay network scheduling (2010) (20)
Delay bounds for combined input-output switches with low speedup (2004) (20)
Distributed Averaging in Dynamic Networks (2010) (20)
Qualitative properties of α-weighted scheduling policies (2010) (20)
Synthetic Interventions (2020) (20)
Local Rules for Global MAP: When Do They Work ? (2009) (19)
Adaptive Control of Covid-19 Outbreaks in India: Local, Gradual, and Trigger-Based Exit Paths from Lockdown (2020) (18)
A New Approach to Modeling Choice with Limited Data (2009) (18)
Resource Sharing Networks: Overview and an Open Problem (2014) (18)
Inference in Binary Pair-wise Markov Random Fields through Self-Avoiding Walks (2006) (17)
Solving Systems of Linear Equations: Locally and Asynchronously (2014) (17)
Sparse choice models (2010) (16)
Fair Scheduling in Networks Through Packet Election (2008) (16)
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation (2020) (16)
Information Dissemination via Gossip: Applications to Averaging and Coding (2005) (16)
Regret, stability, and fairness in matching markets with bandit learners (2021) (15)
Nearest Neighbors for Matrix Estimation Interpreted as Blind Regression for Latent Variable Model (2017) (15)
Counting bits for distributed function computation (2008) (15)
Optimality of belief propagation for random assignment problem (2009) (15)
Rateless Codes for the Gaussian Multiple Access Channel (2006) (14)
Causal Matrix Completion (2021) (14)
Bin Packing with Queues (2008) (14)
Computing the Capacity Region of a Wireless Network (2009) (14)
The capacity region of large wireless networks (2008) (14)
Building Optimized and Hyperlocal Product Assortments: A Nonparametric Choice Approach (2017) (13)
Throughput-delay scaling in wireless networks with constant-size packets (2005) (13)
On the flow-level dynamics of a packet-switched network (2010) (13)
A locally encodable and decodable compressed data structure (2009) (12)
Capacity-Delay Scaling in Arbitrary Wireless Networks (2006) (12)
Fast Gossip via Non-reversible Random Walk (2006) (12)
Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation (2019) (12)
On Principal Component Regression in a High-Dimensional Error-in-Variables Setting (2020) (11)
A hardware spinal decoder (2012) (11)
Tightness of LP via Max-product Belief Propagation (2005) (11)
What's your choice?: learning the mixed multi-nomial (2014) (11)
Causal Imputation via Synthetic Interventions (2020) (11)
On Reinforcement Learning Using Monte Carlo Tree Search with Supervised Learning: Non-Asymptotic Analysis (2019) (10)
Feasible Rate Allocation in Wireless Networks (2008) (10)
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators (2021) (10)
Qualitative properties of α-fair policies in bandwidth-sharing networks (2014) (9)
Learning graphical models from the Glauber dynamics (2014) (9)
Unifying Framework for Crowd-sourcing via Graphon Estimation (2017) (9)
CTH05-2: Rateless Codes for the Gaussian Multiple Access Channel (2006) (9)
Recommender Systems over Wireless: Challenges and Opportunities (2018) (9)
Fundamental Performance Limits for Multi-Stage Vehicle Routing Problems (2007) (9)
Local Algorithms for Approximate Inference in Minor-Excluded Graphs (2007) (8)
Censored Demand Estimation in Retail (2017) (8)
On Reinforcement Learning for Turn-based Zero-sum Markov Games (2020) (8)
Reduction of Variation-Induced Energy Overhead in Multi-Core Processors (2011) (8)
Randomization and heavy traffic theory : new approaches to the design and analysis of switch algorithms (2005) (8)
Two Burning Questions on COVID-19: Did shutting down the economy help? Can we (partially) reopen the economy without risking the second wave? (2020) (8)
The Multicast Capacity Region of Large Wireless Networks (2009) (8)
Regulating algorithmic filtering on social media (2020) (8)
Time Series Analysis via Matrix Estimation (2018) (8)
Network Scheduling and Message-passing (2008) (7)
Learning Mixture Model with Missing Values and its Application to Rankings (2018) (7)
Asynchronous Approximation of a Single Component of the Solution to a Linear System (2014) (7)
Interactions Between Learning and Broadcasting in Wireless Recommendation Systems (2019) (7)
Learning sparse Boolean polynomials (2012) (7)
Log-weight scheduling in switched networks (2012) (7)
On Learning Continuous Pairwise Markov Random Fields (2020) (7)
Fair Scheduling through Packet Election (2008) (6)
Approximate inference: decomposition methods with applications to networks (2009) (6)
Iterative Collaborative Filtering for Sparse Matrix Estimation (2017) (6)
Message-Passing for Wireless Scheduling: An Experimental Study (2010) (6)
A Latent Source Model for Patch-Based Image Segmentation (2015) (5)
Qualitative properties of alpha-weighted scheduling policies (2010) (5)
A Latent Source Model for Online Time Series Classification (2013) (5)
Regret Guarantees for Item-Item Collaborative Filtering (2015) (5)
Epidemic Modeling and Estimation (2020) (5)
Approximate message-passing inference algorithm (2007) (5)
Throughput and delay in random wireless networks: 1-D mobility is just as good as 2-D (2004) (5)
Minimal Delay in Controlled Mobile Relay Networks (2006) (4)
Stochastic Stability Under Fair Bandwidth Allocation : General File Size Distribution (2006) (4)
Fast Distributed Algorithms for Computing (2008) (4)
Efficient Distributed Medium Access (2011) (4)
VIPER: A Vertical Approach to Mining Association Rules (2000) (4)
Max Product for Max-Weight Independent Set and Matching (2005) (4)
Approximating the Stationary Probability of a Single State in a Markov chain (2013) (4)
Sampling Distortion Measures (2008) (4)
tspDB: Time Series Predict DB (2020) (4)
Stable Reinforcement Learning with Unbounded State Space (2020) (4)
A Computationally Efficient Method for Learning Exponential Family Distributions (2021) (4)
Blind Regression via Nearest Neighbors under Latent Variable Models (2017) (4)
I Know What You Bought At Chipotle for $9.81 by Solving A Linear Inverse Problem (2020) (4)
Local approximate inference algorithms (2006) (4)
Solving for a Single Component of the Solution to a Linear System, Asynchronously (2014) (4)
Distributed computation under bit constraints (2008) (3)
On Multivariate Singular Spectrum Analysis and Its Variants (2020) (3)
Uniform Multi-commodity Flow in Wireless Networks with Gaussian Fading Channels (2006) (3)
Control Reduces Delay in Mobile Wireless Networks with Maximal Throughput (2005) (3)
Delay performance of high-speed packet switches with low speedup (2002) (3)
Mixture Learning from Partial Observations and Its Application to Ranking (2018) (3)
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression (2020) (3)
The United States COVID-19 Forecast Hub dataset (2022) (3)
Efficient Queue-based CSMA with Collisions (2010) (3)
Optimal Delay in Networks with Controlled Mobility (2006) (3)
CausalSim: Toward a Causal Data-Driven Simulator for Network Protocols (2022) (3)
Public health implications of opening National Football League stadiums during the COVID-19 pandemic (2022) (3)
Learning Graphical Models From the Glauber Dynamics (2018) (3)
Principles of resource allocation in networks (2011) (3)
Lower bounds for multi-stage vehicle routing (2007) (3)
Fast averaging (2011) (3)
Computing Choice: Learning Distributions over Permutations (2021) (3)
Model Agnostic Time Series Analysis via Matrix Estimation (2019) (3)
Energy constrained wireless switching (2003) (3)
Efficient distributed medium access algorithm (2010) (2)
Approaching HGI performance in resource sharing networks (2013) (2)
Federated Optimization of Smooth Loss Functions (2022) (2)
An IoT Framework for Addressing Parents Concerns about Safety of School Going Children (2016) (2)
COUNTING INDEPENDENT SETS USING THE BETHE (2011) (2)
Influence in a large society: Interplay between information dynamics and network structure (2009) (2)
Estimation of Skill Distributions (2020) (2)
Nonasymptotic Analysis of Monte Carlo Tree Search (2022) (2)
Statistical inference with probabilistic graphical models (2014) (2)
The Unicast and Multicast Capacity Regions of Large Wireless Networks (2008) (2)
CausalSim: A Causal Inference Framework for Unbiased Trace-Driven Simulation (2022) (2)
Spinal codes (2012) (2)
Informational limits of neural circuits (2011) (2)
Imperfect randomized algorithms for the optimal control of wireless networks (2008) (2)
Change Point Detection via Multivariate Singular Spectrum Analysis (2021) (2)
Introduction to the Issue on Signal Processing for Social Networks [Guest editorial] (2014) (2)
Message-passing in stochastic processing networks (2011) (2)
On counterfactual inference with unobserved confounding (2022) (2)
Forecasting with Alternative Data (2020) (2)
Congestion control meets medium access: throughput, delay, and complexity (2012) (2)
Fast and Slim Lifted Markov Chains (2008) (2)
Revisiting Stochastic Loss Networks: Structures and Approximations (2019) (2)
Hierarchical cooperation for arbitrary wireless networks (2008) (1)
Regret vs. Bandwidth Trade-off for Recommendation Systems (2018) (1)
Unifying Epidemic Models with Mixtures (2022) (1)
Model Agnostic High-Dimensional Error-in-Variable Regression (2019) (1)
Time Varying Regression with Hidden Linear Dynamics (2021) (1)
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (2015) (1)
Gradient Descent for Low-Rank Functions (2022) (1)
Learning RUMs: Reducing Mixture to Single Component via PCA (2018) (1)
Iterative Collaborative Filtering for Sparse Noisy Tensor Estimation (2019) (1)
mRSC (2019) (1)
Forecasting with Alternative Data (2019) (1)
Next-day Electricity Demand Forecast: A New Ensemble Recommendation System Using Peak and Valley (2021) (1)
Non-Asymptotic Analysis of Monte Carlo Tree Search (2020) (1)
Technique for Efficient Evaluation of SRAM Timing Failure (2012) (1)
Cooperative multi-hop schemes for arbitrary wireless networks (2008) (1)
Inferring Sparse Preference Lists from Partial Information (2010) (1)
A New Approach to Modeling Choice (2010) (1)
Counterfactual inference for sequential experimental design (2022) (1)
Source Coding with Mismatched Distortion Measures (2008) (1)
Zorro: A Model Agnostic System to Price Consumer Data (2019) (1)
Network Synthetic Interventions: A Framework for Panel Data with Network Interference (2022) (1)
Estimation of Skill Distribution from a Tournament (2020) (1)
Forecasting with Alternative Data (2020) (1)
Censored Demand Estimation in Retail (2017) (1)
Understanding & Generalizing AlphaGo Zero (2018) (1)
Algorithmically Efficient Networks (2008) (1)
R ecoverabilty Conditions for Rankings Under Partial Information (2009) (0)
Thermodynamics of Large-Scale Heterogeneous Wireless Networks FA9550-09-1-0317 Final Report (2014) (0)
Electricity Non-Technical Loss Detection: Enhanced Cost-Driven Approach Utilizing Synthetic Control (2021) (0)
Partition-Merge: Distributed Inference and Modularity Optimization (2013) (0)
LIMITATION OF LEARNING RANKINGS FROM PARTIAL INFORMATION (2010) (0)
2 A Model and Learning Problem for Online Recommendations (2014) (0)
ST ] 2 2 A ug 2 01 9 Iterative Collaborative Filtering for Sparse Matrix Estimation (2019) (0)
Lifted Markov Chains for Fast Linear Computation (2008) (0)
mRSC (2019) (0)
New Results - Combinatorial Optimization and Analysis of Algorithms (2007) (0)
Non-Asymptotic Analysis of Monte Carlo Tree Search (2020) (0)
Editorial (1902) (0)
Onqueueing incodednetworks -queuesize follows degrees offreedom (2007) (0)
Centralized Congestion Control and Scheduling in a Datacenter (2017) (0)
Scheduling Algorithms for Switched Networks (2013) (0)
Doubly robust nearest neighbors in factor models (2022) (0)
Session details: Session: Learning II (2019) (0)
Low Delay SchedulinginWirelessNetwork (2007) (0)
Thermodynamics of Large-Scale Heterogeneous Wireless Networks (2014) (0)
Product-form distributions and network algorithms (abstract only) (2012) (0)
Robust Max Entrywise Error Bounds for Sparse Tensor Estimation via Similarity Based Collaborative Filtering (2021) (0)
Matrix Estimation for Individual Fairness (2023) (0)
Is It Luck or Skill: Establishing Role of Skill in Mutual Fund Management and Fantasy Sports (2020) (0)
Log-weight scheduling in switched networks (2012) (0)
The High Demand for Internet (2001) (0)
Interference is not noise (2011) (0)
Monotone Matrix Estimation via Robust Deconvolution (2018) (0)
Compute Choice (2016) (0)
MIT Open Access Articles A hardware spinal decoder (2022) (0)
2 9 N ov 2 01 4 Learning graphical models from the Glauber dynamics (2014) (0)
Approximating the Log-Partition Function (2021) (0)
A User-Driven Framework for Regulating and Auditing Social Media (2023) (0)
Synthetic A/B Testing using Synthetic Interventions (2020) (0)
FastGossip viaNon-reversible RandomWalk (2006) (0)
Deconvolution with Unknown Error Distribution Interpreted as Blind Isotonic Regression (2018) (0)
Counterfactual Identifiability of Bijective Causal Models (2023) (0)
Editorial introduction (2012) (0)
Robust Max Entrywise Error Bounds for Tensor Estimation From Sparse Observations via Similarity-Based Collaborative Filtering (2019) (0)
Quantifying Variational Approximation for Log-Partition Function (2021) (0)
On Multivariate Singular Spectrum Analysis (2020) (0)
On Computationally Bounded Adverserial Capacity (2006) (0)
Model Agnostic Time Series Analysis via Matrix Estimation (2019) (0)
Matrix Estimation, Latent Variable Model and Collaborative Filtering (2017) (0)
Censored Demand Estimation in Retail (2019) (0)
Session details: Learning II (2010) (0)
Current Implicit Policies May Not Eradicate COVID-19 (2022) (0)
Session details: Sensor and multihop networks (2010) (0)
Short and Wide Network Paths (2019) (0)
On Model Identification and Out-of-Sample Prediction of Principal Component Regression: Applications to Synthetic Controls (2020) (0)
ANIMPLEMENTABLE PARALLELSCHEDULER FOR INPUT-QUEUEDSWITCHES (2009) (0)
Time Series Predict DB (2019) (0)
I Know What You Bought At Chipotle for $9.81 by Solving A Linear Inverse Problem (2020) (0)
CausalSim: Unbiased Trace-Driven Network Simulation (2022) (0)
Implicit feedback policies for COVID-19: why “zero-COVID” policies remain elusive (2023) (0)
Three metrics for stochastic networks: Capacity, queue-size and complexity (2011) (0)
Prediction Query Language (2018) (0)
Session details: Sensor and multihop networks (2010) (0)

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What Schools Are Affiliated With Devavrat Shah?

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Devavrat Shah's Academic­Influence.com Rankings